Apera AI develops vision software, cameras and cell-modelling tools for industrial robots from Vancouver. Its Vue software uses trained part models and camera imagery to recognize parts, estimate pose and guide grasping and collision-avoiding motion. Forge models the robot, tooling and work area before training. The newer VuePod packages those functions into an early-access machine-tending cell with a tightly defined first-version part and robot configuration.
Operating context
Forge models parts, robot, gripper, cameras, bins and obstacles, tests pickability, then trains assets for the Vue vision computer. Reach and gripper geometry affect whether a bin can be emptied. Vue converts imagery into object poses, grasp choices and paths; VuePort camera selection adds field-of-view, mounting and working-distance choices. The 2022 Universal Robots-hosted guide requires coordinated camera/robot calibration, a server IP and pipeline ID, and capture before the robot obstructs the bin. Current robot/controller versions need confirmation.
VuePod V1 is early access for one SKU of ferrous stamped sheet metal, up to 15 inches on its longest side and 4 kg. It pairs a FANUC M-20iD/12L, magnetic gripper, rotary regrip and dual VuePort pose checks with two now/next bins. Setup includes power/Ethernet, PLC and safety signals, camera calibration and teaching fixture placement. Dual-SKU, repack and finished-goods applications remain prospective.
Canadian footprint
Apera lists its Canadian office at Suite 501, 134 Abbott Street, Vancouver, BC V6B 2K4, with sales/support routed through +1 604-200-4544. Its listed US Center of Excellence is in Farmington Hills, Michigan. BDC independently identifies Vancouver operations. NGen’s 2024–2025 annual report names Apera AI Inc. as the lead of a manufacturing-inspection development/deployment project with Stronach Centre of Innovation, a division of Magna International. The project listing does not establish completed customer acceptance.
Vancouver, British Columbia is the published city-level context for Apera AI. It does not imply a street address or exact facility location.
Apera offers a Vancouver-based route to industrial robot vision and cell integration. Its documentation makes CAD models, camera calibration, gripper/reach geometry and controller handoff central to the decision. A useful supplier discussion should compare full-cell cycle, tolerance and failed-pick data for the actual parts and robot, then confirm current software/robot versions and VuePod V1 suitability. The simulated recognition percentage and vision-processing time do not establish whole-cell acceptance; investor and NGen records establish financing/programme context rather than measured production results.
Interpretation of the public record. Not qualification, endorsement or evidence of buyer interest.
Robot-vision software, stereo cameras and cell modelling
Robot pose/grasp guidance, camera integration and simulated cell pickability.
Read technical summary
Apera’s Vue computer recognizes parts from trained CAD models and camera imagery, then estimates poses and plans grasps and collision-avoiding motion. Forge models robot, tooling and work-area geometry before training; reach and gripper choices constrain pickability. VuePort provides model-dependent stereo-camera mounting and Ethernet/PoE interfaces. The manufacturer’s as-low-as-0.3-second figure concerns vision recognition/path planning, and its greater-than-99.99% result concerns simulation training. VuePod V1 packages the workflow for early-access single-SKU ferrous stamped sheet metal up to 15 inches and 4 kg, using a FANUC M-20iD/12L and magnetic gripper.
Evidence of maturity
Manufacturer-marketed industrial platform with a documented UR integration workflow and vendor-derived Hastech/Linamar case coverage. Numerical simulation/vision-cycle claims are not complete-cell acceptance. VuePod V1 is early access; accepted installed performance remains configuration-specific.
Commercial availability
Vue/Forge and VuePort are marketed through Apera sales/support. VuePod V1 early-access suitability depends on the named part, robot and tooling envelope; current versions and delivery commitments require confirmation.
Core features
CAD-trained object recognition, pose and grasp/path planning
Forge cell simulation with reach/tooling and obstacle constraints
Zebra Ventures announced a strategic investment in Apera on April 29, 2026, citing intelligent automation for manufacturing and logistics. The notice does not disclose an amount or valuation and does not establish acquisition or control.
Apera announced the closing of an oversubscribed Series A on July 28, 2025, with BDC Capital and increased participation from Lobby Capital, Flying Fish and J-Ventures. BDC’s July 23, 2026 profile retrospectively identifies its fund’s lead role. Zebra Ventures separately announced a strategic investment on April 29, 2026. Round amounts and valuations are undisclosed. NGen lists CAD 1,570,007.95 investment within a CAD 4,885,737 manufacturing-inspection project; these are project figures, rather than Apera equity proceeds or revenue.
Reviewed connections
Released Defence need · Reviewed connectionEvidence strength: Moderate
4D vision for industrial robotics may help teams working on Sovereign defence capability areas by contributing to autonomous and uncrewed systems, advanced materials and manufacturing, and protection and survivability.
Reviewed connections indicate possible relevance based on public evidence. They do not indicate procurement direction, eligibility, endorsement or customer interest.
Questions for a first conversation
01
What complete-cycle distribution, pose tolerance and failed-pick rate have been measured with our parts, bin, gripper and robot?
The eGuide’s 0.3-second figure is vision recognition/path planning, while its recognition percentage is a simulation result. Forge examples show that reach and gripper geometry constrain pickability.
02
Which supported controller/software versions, calibration process and accepted VuePod V1 installation match the proposed cell?
The public UR guide is from 2022 and requires camera/robot calibration and pipeline coordination. VuePod remains early access with a named robot, magnetic tooling and a narrow single-SKU ferrous-part envelope.
Original sources 15 linked records
These records support the organization, its owned capabilities and their reviewed connections. A source count is not a count of independent confirmations.
Zebra Ventures announced an investment in Vancouver-based Apera AI on April 29, 2026, with no amount disclosed. It describes stereo vision and models trained in virtual simulations for handling variable and overlapping parts in factories. The release establishes an investor relationship, not an acquisition, exclusive channel arrangement or independent benchmark.
Supports: Profile · disclosed financing summary
Zebra Ventures announced an investment in Vancouver-based Apera AI on April 29, 2026, with no amount disclosed. It describes stereo vision and models trained in virtual simulations for handling variable and overlapping parts in factories. The release establishes an investor relationship, not an acquisition, exclusive channel arrangement or independent benchmark.
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
The 2024 eGuide places greater-than-99.99% performance in simulation training. Its as-low-as-0.3-second figure covers recognition/path planning, not a full robot movement or production-cycle guarantee.
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
Supports: Profile · canadian footprint
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
The official capability material supports the named 4D vision for industrial robotics offering and the bounded operational description prepared for reviewer consideration.
Supports: Profile · description
The official company material describes Apera AI as a Canadian technology business with the public offering summarized in this candidate.
Zebra Ventures announced a strategic investment in Apera on April 29, 2026 for intelligent manufacturing/logistics automation. Amount and valuation are not stated; the announcement does not establish an acquisition or control.
Supports: Profile · current activity as of
Public sources cited · Facts and assessments kept separate · Human review
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: Profile · operating context
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
The 2024 eGuide places greater-than-99.99% performance in simulation training. Its as-low-as-0.3-second figure covers recognition/path planning, not a full robot movement or production-cycle guarantee.
Supports: Profile · description
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
The 2024 eGuide places greater-than-99.99% performance in simulation training. Its as-low-as-0.3-second figure covers recognition/path planning, not a full robot movement or production-cycle guarantee.
The 2024 eGuide places greater-than-99.99% performance in simulation training. Its as-low-as-0.3-second figure covers recognition/path planning, not a full robot movement or production-cycle guarantee.
Supports: Profile · role descriptor
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: Profile · operating context
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: Profile · display lead
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
The 2024 eGuide places greater-than-99.99% performance in simulation training. Its as-low-as-0.3-second figure covers recognition/path planning, not a full robot movement or production-cycle guarantee.
Supports: 4D vision for industrial robotics · technical tags
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · defence applications
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · display lead
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · core features
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · summary
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · technicaldomainslugs
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · technicaldomainslugs
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · capability type
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · commercial availability
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · technicaldomainslugs
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · technical tags
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · technical tags
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · core features
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · maturity
The 2024 eGuide places greater-than-99.99% performance in simulation training. Its as-low-as-0.3-second figure covers recognition/path planning, not a full robot movement or production-cycle guarantee.
Supports: 4D vision for industrial robotics · technology readiness level
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · technicaldomainslugs
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · technical tags
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · summary
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · technology readiness level
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · summary
The 2024 eGuide places greater-than-99.99% performance in simulation training. Its as-low-as-0.3-second figure covers recognition/path planning, not a full robot movement or production-cycle guarantee.
Supports: 4D vision for industrial robotics · capability type
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · defence applications
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · technical tags
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · name
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · maturity
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · core features
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · catalogue teaser
Vue runs on a vision computer, using camera imagery and trained CAD part models to recognize parts, estimate pose, select grasp points and plan collision-avoiding motion, orientation and placement with standard or custom end-of-arm tooling.
Supports: 4D vision for industrial robotics · name
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Supports: 4D vision for industrial robotics · core features
Apera Vue combines object recognition, pose/path/grasp planning and placement using standard 2D cameras and trained AI. Its workflow starts with CAD geometry and synthetic training; the claimed 99.99 percent reliability is attained in simulation. The 0.3-second figure is a best-case vision cycle, not total robot-cycle time. Vendor-published Hastech/Linamar and Flex-N-Gate examples show industrial use, with customer-specific outcomes.
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
Supports: Profile · display lead
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
Supports: Profile · description
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
Supports: 4D vision for industrial robotics · commercial availability
Apera lists Ste501,134 Abbott St,Vancouver BC V6B2K4 and Canadian phone +1 6042004544 with sales/support routing. It separately lists its US centre at 23399 Commerce Drive,SuiteB2,Farmington Hills MI48335.
Apera AI's public evidence establishes its current role and offering, but it does not answer every access, configuration, eligibility, maturity or buyer question needed for a first business-development conversation.
Supports: Profile · operating context
The official capability material supports the named 4D vision for industrial robotics offering and the bounded operational description prepared for reviewer consideration.
Supports: Profile · editorial profile version
Apera AI has sufficient mapped public evidence for private reviewer consideration of the shared editorial profile template.
True North Map derives this first-conversation question from the documented Apera AI capability, current evidence and the decision gap that remains.
Supports: 4D vision for industrial robotics · summary
The official capability material supports the named 4D vision for industrial robotics offering and the bounded operational description prepared for reviewer consideration.
Supports: 4D vision for industrial robotics → Sovereign defence capability areas
The official capability material supports the named 4D vision for industrial robotics offering and the bounded operational description prepared for reviewer consideration.
Zebra Ventures announced a strategic investment in Apera on April 29, 2026 for intelligent manufacturing/logistics automation. Amount and valuation are not stated; the announcement does not establish an acquisition or control.
Supports: Profile · disclosed financing summary
Zebra Ventures announced a strategic investment in Apera on April 29, 2026 for intelligent manufacturing/logistics automation. Amount and valuation are not stated; the announcement does not establish an acquisition or control.
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
Supports: Profile · operating context
VuePod setup connects power/Ethernet and PLC/safety signals, runs camera autocalibration and teaches fixture placement from the HMI. The page lists Allen-Bradley or Siemens PLC support.
Supports: Profile · operating context
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
Supports: Profile · operating context
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
Supports: Profile · description
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
Supports: Profile · description
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
Supports: Profile · description
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
Supports: Profile · role descriptor
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
Supports: Profile · operating context
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
Supports: 4D vision for industrial robotics · summary
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
Supports: 4D vision for industrial robotics · defence applications
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
Supports: 4D vision for industrial robotics · display lead
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
Supports: 4D vision for industrial robotics · defence applications
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
Supports: 4D vision for industrial robotics · maturity
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
Supports: 4D vision for industrial robotics · commercial availability
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
Supports: 4D vision for industrial robotics · summary
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
Supports: 4D vision for industrial robotics · technical tags
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
Supports: 4D vision for industrial robotics · summary
VuePod is in early access with first cells being deployed. Dual-SKU, finished-goods and repack configurations are roadmap items rather than the V1 offering.
Supports: 4D vision for industrial robotics · technicaldomainslugs
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
Supports: 4D vision for industrial robotics · commercial availability
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
Supports: 4D vision for industrial robotics · core features
VuePod specifies a FANUC M-20iD/12L, magnetic gripper, rotary regrip, dual VuePort pose checks and wall-mounted HMI; its two-bin layout serves one now/next SKU.
Supports: 4D vision for industrial robotics · core features
VuePod V1 supports single-SKU ferrous stamped sheet-metal parts no longer than 15 inches and no heavier than four kilograms, placed from bins into a fixture or jig.
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: Profile · operating context
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: Profile · description
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: 4D vision for industrial robotics · summary
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: 4D vision for industrial robotics · defence applications
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: 4D vision for industrial robotics · technical tags
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: 4D vision for industrial robotics · defence applications
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: 4D vision for industrial robotics · catalogue teaser
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: 4D vision for industrial robotics · technicaldomainslugs
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: 4D vision for industrial robotics · core features
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
Supports: 4D vision for industrial robotics · display lead
Browser-based Forge models robot, parts, tooling, cameras, bins and obstacles, evaluates pickability, and sends trained assets to Vue. Robot reach, gripper angle and pick-point diversity constrain emptying; its worked example needs gripper redesign or bin repositioning.
The 2022 UR guide assumes URCap3.4 and Vue≥8, calibrated cameras, Vue server IP and vision-pipeline ID. Robot calibration follows camera recalibration/movement; robot code waits for image capture before obscuring the bin and handles no-pose outcomes. Current version compatibility is not established by this guide.
The 2022 UR guide assumes URCap3.4 and Vue≥8, calibrated cameras, Vue server IP and vision-pipeline ID. Robot calibration follows camera recalibration/movement; robot code waits for image capture before obscuring the bin and handles no-pose outcomes. Current version compatibility is not established by this guide.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
The 2022 UR guide assumes URCap3.4 and Vue≥8, calibrated cameras, Vue server IP and vision-pipeline ID. Robot calibration follows camera recalibration/movement; robot code waits for image capture before obscuring the bin and handles no-pose outcomes. Current version compatibility is not established by this guide.
The 2022 UR guide assumes URCap3.4 and Vue≥8, calibrated cameras, Vue server IP and vision-pipeline ID. Robot calibration follows camera recalibration/movement; robot code waits for image capture before obscuring the bin and handles no-pose outcomes. Current version compatibility is not established by this guide.
The 2022 UR guide assumes URCap3.4 and Vue≥8, calibrated cameras, Vue server IP and vision-pipeline ID. Robot calibration follows camera recalibration/movement; robot code waits for image capture before obscuring the bin and handles no-pose outcomes. Current version compatibility is not established by this guide.
The 2022 UR guide assumes URCap3.4 and Vue≥8, calibrated cameras, Vue server IP and vision-pipeline ID. Robot calibration follows camera recalibration/movement; robot code waits for image capture before obscuring the bin and handles no-pose outcomes. Current version compatibility is not established by this guide.
Supports: 4D vision for industrial robotics · maturity
The 2022 UR guide assumes URCap3.4 and Vue≥8, calibrated cameras, Vue server IP and vision-pipeline ID. Robot calibration follows camera recalibration/movement; robot code waits for image capture before obscuring the bin and handles no-pose outcomes. Current version compatibility is not established by this guide.
BDC describes Vancouver-based Apera using stereo cameras and AI to handle unstructured parts, and identifies its Industrial Innovation Venture Fund as Series A lead. It reports more than 80 staff, tenfold revenue growth over three years and a VuePod standalone automation-cell launch. These are attributed profile figures, not disclosed absolute revenue, investment amount or a universal factory-throughput guarantee.
Supports: Profile · disclosed financing summary
The BDC profile published July 23, 2026 says its Industrial Innovation Venture Fund led Apera’s Series A and identifies Vancouver operations; it is retrospective investment evidence, not a July 2026 closing announcement. BDC has a financial interest.
Supports: Profile · canadian footprint
The BDC profile published July 23, 2026 says its Industrial Innovation Venture Fund led Apera’s Series A and identifies Vancouver operations; it is retrospective investment evidence, not a July 2026 closing announcement. BDC has a financial interest.
BDC describes Vancouver-based Apera using stereo cameras and AI to handle unstructured parts, and identifies its Industrial Innovation Venture Fund as Series A lead. It reports more than 80 staff, tenfold revenue growth over three years and a VuePod standalone automation-cell launch. These are attributed profile figures, not disclosed absolute revenue, investment amount or a universal factory-throughput guarantee.
BDC describes Vancouver-based Apera using stereo cameras and AI to handle unstructured parts, and identifies its Industrial Innovation Venture Fund as Series A lead. It reports more than 80 staff, tenfold revenue growth over three years and a VuePod standalone automation-cell launch. These are attributed profile figures, not disclosed absolute revenue, investment amount or a universal factory-throughput guarantee.
Supports: Profile · disclosed financing summary
BDC describes Vancouver-based Apera using stereo cameras and AI to handle unstructured parts, and identifies its Industrial Innovation Venture Fund as Series A lead. It reports more than 80 staff, tenfold revenue growth over three years and a VuePod standalone automation-cell launch. These are attributed profile figures, not disclosed absolute revenue, investment amount or a universal factory-throughput guarantee.
BDC describes Vancouver-based Apera using stereo cameras and AI to handle unstructured parts, and identifies its Industrial Innovation Venture Fund as Series A lead. It reports more than 80 staff, tenfold revenue growth over three years and a VuePod standalone automation-cell launch. These are attributed profile figures, not disclosed absolute revenue, investment amount or a universal factory-throughput guarantee.
Supports: Profile · operating context
BDC describes Vancouver-based Apera using stereo cameras and AI to handle unstructured parts, and identifies its Industrial Innovation Venture Fund as Series A lead. It reports more than 80 staff, tenfold revenue growth over three years and a VuePod standalone automation-cell launch. These are attributed profile figures, not disclosed absolute revenue, investment amount or a universal factory-throughput guarantee.
NGen’s 2024–2025 report printed p82 (PDF page42 spread) lists Apera AI Inc. as lead for AI-powered manufacturing-inspection development/deployment, with Stronach Centre of Innovation, a division of Magna International. NGen investment is CAD1,570,007.95 and total project investment CAD4,885,737.00. These are project figures, not Apera equity or revenue, and do not establish completed acceptance.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
NGen’s 2024–2025 report printed p82 (PDF page42 spread) lists Apera AI Inc. as lead for AI-powered manufacturing-inspection development/deployment, with Stronach Centre of Innovation, a division of Magna International. NGen investment is CAD1,570,007.95 and total project investment CAD4,885,737.00. These are project figures, not Apera equity or revenue, and do not establish completed acceptance.
Supports: Profile · canadian footprint
NGen’s 2024–2025 report printed p82 (PDF page42 spread) lists Apera AI Inc. as lead for AI-powered manufacturing-inspection development/deployment, with Stronach Centre of Innovation, a division of Magna International. NGen investment is CAD1,570,007.95 and total project investment CAD4,885,737.00. These are project figures, not Apera equity or revenue, and do not establish completed acceptance.
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: Profile · operating context
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: 4D vision for industrial robotics · technical tags
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: 4D vision for industrial robotics · display lead
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: 4D vision for industrial robotics · catalogue teaser
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: 4D vision for industrial robotics · core features
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: 4D vision for industrial robotics · technicaldomainslugs
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: 4D vision for industrial robotics · core features
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: 4D vision for industrial robotics · commercial availability
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Supports: 4D vision for industrial robotics · summary
VuePort has two 12 MP 4000×3000 CMOS cameras, Gigabit Ethernet/M12 X-coded PoE interfaces and processing in the vision controller. XS is eye-in-hand; S/M/M+/L/LT are fixed eye-to-hand options. IP65/IP67 are supplier ratings dependent on model.
Apera announced closing an oversubscribed Series A on July 28, 2025, with new BDC Capital and increased Lobby Capital, Flying Fish and J-Ventures participation. Amount and valuation are undisclosed.
Supports: 4D vision for industrial robotics · core features
Vue 9.52 supports joint/linear movements and approach/retreat waypoints, TCP/tooling visualization, hand-eye mechanical-error diagnostics and VuePort XS range finding for de-racking. January 2026 training estimates are six–24 hours; reliability remains synthetic-cycle manufacturer evidence.
Supports: 4D vision for industrial robotics · maturity
A3’s June 24, 2025 editorial describes three Hastech/Linamar ABB/Vue cells and custom tooling for transmission disks, but its linked case video is explicitly Apera-authored. This is vendor-derived case coverage, not direct independently measured buyer acceptance.
Supports: 4D vision for industrial robotics → Sovereign defence capability areas
Canada needs secure strategic autonomy and reliable access to capabilities that are critical to defending its sovereignty and meeting allied commitments, while reducing exposure to foreign supply-chain and intellectual-property dependencies.
Supports: 4D vision for industrial robotics → Sovereign defence capability areas
Reviewer synthesis of the public end state: Canada can build, sustain or control priority aerospace, ammunition, digital, in-service support, sensor, space, specialized manufacturing, training and uncrewed capabilities through domestic strength, trusted partnerships and sovereign access.
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