NovaFuse is an Ottawa defence-AI company developing multimodal sensor-fusion software that correlates RF, electro-optical, infrared, signals-intelligence, acoustic, text, and drone data into explainable operational tracks at the tactical edge.
Operating context
NovaFuse is an Ottawa company developing Hermes to combine RF, imagery, acoustic and contextual data with a knowledge graph and uncertainty/provenance handling. Its maritime article describes how this approach could assist analysts working with ambiguous observations. The public material is useful for understanding the intended architecture and integration conversation, but the evidence stage needs care: the site uses IDEaS funding or qualification language while also listing three May–June 2026 submissions as under evaluation. Its animated confidence and response-time examples are illustrative, not a published benchmark or acceptance test. A prospective partner should begin with a bounded evaluation using licensed data and a defined analyst workflow, with programme decisions, measured error rates and operational references supplied separately.
Canadian footprint
NovaFuse has a documented Canadian operating presence in Ottawa, Ontario, Canada. Its public organization and capability evidence should be read at that location and national scope only where the cited sources explicitly support it.
Ottawa, Ontario is the published city-level context for NovaFuse. It does not imply a street address or exact facility location.
NovaFuse is developing an AI fusion architecture that normalizes RF, EO/IR, acoustic, text and other inputs before alignment, uncertainty propagation, entity resolution and explainable output. Its maritime concept uses track-level fusion and local-data learning. Publicly listed IDEaS submissions and an interested-supplier profile establish pursuit of opportunities, rather than funding or operational acceptance.
Evidence of maturity
Research and development; vendor timing/confidence illustrations and policy-control descriptions are not field-validation or security-accreditation evidence.
Commercial availability
Research, development and consulting engagement; product release, mission acceptance and IDEaS award status remain unconfirmed.
Core features
Hermes-orchestrated normalized event stream for heterogeneous inputs
Spatiotemporal alignment, knowledge-graph entity resolution and propagated uncertainty
Proposed track-level maritime fusion and local-data federated learning
C2, dashboard, tactical-edge and wargaming output concepts
Separate published LLM-agent workflow experiments; these do not validate the sensor-fusion architecture
NovaFuse may support Arctic domain awareness by helping operators integrate, protect, interpret, communicate, or rehearse decisions from distributed public-source sensor and mission data in remote environments.
NovaFuse may support autonomous patrol and monitoring by improving the ingestion, assurance, fusion, analysis, or communication of data from crewed and uncrewed sensing platforms.
NovaFuse may support edge data processing through cited deployable compute, data conditioning, inference, visualization, communications, or training workflows used close to operational users.
NovaFuse may support underwater ISR where its cited data-fusion or mission-software capability can ingest, correlate, interpret, or communicate acoustic and other maritime sensor information.
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
Which IDEaS submissions have a documented funding decision, and can a reproducible evaluation show accuracy, uncertainty calibration and analyst benefit on data representative of the intended maritime use?
Clarifies the Hermes architecture while preserving the unresolved difference between submissions and awarded programme support.
Original sources 4 linked records
These records support the organization, its owned capabilities and their reviewed connections. A source count is not a count of independent confirmations.
NovaFuse'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.
The official public contact pathway for NovaFuse is https://www.novafuse.ca/.
Supports: Profile · operating context
Ottawa-based NovaFuse describes a Hermes fusion engine combining RF, EO/IR, acoustic, text and drone feeds using temporal/geospatial alignment, uncertainty propagation, knowledge graphs and policy-aware lineage. It lists three IDEaS Component 1a submissions from May/June 2026 as under evaluation. Its general funded/qualified wording and illustrated 94% track confidence are not evidence of an award or measured benchmark. Canadian ownership is self-reported. NovaFuse’s public page combines statements of IDEaS funding or qualification with three May–June 2026 submissions described as under evaluation. Its animated 94% confidence and sub-three-second examples are not published benchmark results. No independently attributable funding decision or operational acceptance was established in the inspected material.
Supports: Profile · operating context
The cited product or program source supports the architecture, features, applications, and bounded capability summary recorded for NovaFuse Multimodal Fusion Platform.
Ottawa-based NovaFuse describes a Hermes fusion engine combining RF, EO/IR, acoustic, text and drone feeds using temporal/geospatial alignment, uncertainty propagation, knowledge graphs and policy-aware lineage. It lists three IDEaS Component 1a submissions from May/June 2026 as under evaluation. Its general funded/qualified wording and illustrated 94% track confidence are not evidence of an award or measured benchmark. Canadian ownership is self-reported. NovaFuse’s public page combines statements of IDEaS funding or qualification with three May–June 2026 submissions described as under evaluation. Its animated 94% confidence and sub-three-second examples are not published benchmark results. No independently attributable funding decision or operational acceptance was established in the inspected material.
Supports: Profile · current activity
True North Map classifies the legacy undated product description as operating context rather than a material current development, so the optional Recent Activity field is cleared.
Ottawa-based NovaFuse describes a Hermes fusion engine combining RF, EO/IR, acoustic, text and drone feeds using temporal/geospatial alignment, uncertainty propagation, knowledge graphs and policy-aware lineage. It lists three IDEaS Component 1a submissions from May/June 2026 as under evaluation. Its general funded/qualified wording and illustrated 94% track confidence are not evidence of an award or measured benchmark. Canadian ownership is self-reported. NovaFuse’s public page combines statements of IDEaS funding or qualification with three May–June 2026 submissions described as under evaluation. Its animated 94% confidence and sub-three-second examples are not published benchmark results. No independently attributable funding decision or operational acceptance was established in the inspected material.
Supports: Profile · canadian footprint
The cited durable source supports the Canadian city, province, or exact public address used for NovaFuse; the geographic-confidence label records the available precision.
Ottawa-based NovaFuse describes a Hermes fusion engine combining RF, EO/IR, acoustic, text and drone feeds using temporal/geospatial alignment, uncertainty propagation, knowledge graphs and policy-aware lineage. It lists three IDEaS Component 1a submissions from May/June 2026 as under evaluation. Its general funded/qualified wording and illustrated 94% track confidence are not evidence of an award or measured benchmark. Canadian ownership is self-reported. NovaFuse’s public page combines statements of IDEaS funding or qualification with three May–June 2026 submissions described as under evaluation. Its animated 94% confidence and sub-three-second examples are not published benchmark results. No independently attributable funding decision or operational acceptance was established in the inspected material.
Supports: Profile · profileData.publicContact
The cited public source supports the website, email, telephone, or address channel captured for reviewer use; no private contact data is included.
Ottawa-based NovaFuse describes a Hermes fusion engine combining RF, EO/IR, acoustic, text and drone feeds using temporal/geospatial alignment, uncertainty propagation, knowledge graphs and policy-aware lineage. It lists three IDEaS Component 1a submissions from May/June 2026 as under evaluation. Its general funded/qualified wording and illustrated 94% track confidence are not evidence of an award or measured benchmark. Canadian ownership is self-reported. NovaFuse’s public page combines statements of IDEaS funding or qualification with three May–June 2026 submissions described as under evaluation. Its animated 94% confidence and sub-three-second examples are not published benchmark results. No independently attributable funding decision or operational acceptance was established in the inspected material.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform · name
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
The cited product or program source supports the architecture, features, applications, and bounded capability summary recorded for NovaFuse Multimodal Fusion Platform.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform · core features
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform · core features
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform · core features
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform · capability type
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform → Autonomous Patrol and Monitoring
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform → Autonomous Patrol and Monitoring
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform → Autonomous Patrol and Monitoring
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform → Autonomous Patrol and Monitoring
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform → Edge Data Processing
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform → Edge Data Processing
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform → Edge Data Processing
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: NovaFuse Multimodal Fusion Platform → Edge Data Processing
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
NovaFuse proposes fusing maritime observations with contextual intelligence to reduce ambiguity and support analyst decisions. Its maritime article explains an intended application of the Hermes platform; it does not identify a named maritime deployment, customer purchase or validated detection performance.
NovaFuse describes maritime fusion at the semantic/track level, Bayesian multi-hypothesis tracking, propagated uncertainty and local-data federated learning. The July 4, 2026 article is an architecture proposal; classification-boundary and cross-domain-guard descriptions are not security accreditation or deployment evidence.
The cited current official or durable public record supports the activity, program, partnership, test, contract, or funding context summarized for NovaFuse.
Supports: Profile · profileData.currentActivity
The cited current official or durable public record supports the activity, program, partnership, test, contract, or funding context summarized for NovaFuse.
CanadaBuys lists NovaFuse as a supplier interested in partnering on the Multi-modal AI for Advanced Situational Decisions tender, with supplier-submitted company details and a May 27, 2026 page modification. An interested-supplier listing is not IDEaS qualification, funding or procurement acceptance.
NovaFuse author David Scott published a May 25, 2026 Hermes Agent study comparing single-session, Kanban and self-tuned multi-agent execution for code refactoring, research synthesis and bug diagnosis. It reports 23 experimental runs and acknowledges small-sample limits; these LLM workflow experiments do not validate the separate maritime sensor-fusion architecture.
Supports: NovaFuse Multimodal Fusion Platform · core features
NovaFuse author David Scott published a May 25, 2026 Hermes Agent study comparing single-session, Kanban and self-tuned multi-agent execution for code refactoring, research synthesis and bug diagnosis. It reports 23 experimental runs and acknowledges small-sample limits; these LLM workflow experiments do not validate the separate maritime sensor-fusion architecture.
Public sources cited · Facts and assessments kept separate · Human review
NovaFuse describes maritime fusion at the semantic/track level, Bayesian multi-hypothesis tracking, propagated uncertainty and local-data federated learning. The July 4, 2026 article is an architecture proposal; classification-boundary and cross-domain-guard descriptions are not security accreditation or deployment evidence.
Supports: NovaFuse Multimodal Fusion Platform · core features
NovaFuse describes maritime fusion at the semantic/track level, Bayesian multi-hypothesis tracking, propagated uncertainty and local-data federated learning. The July 4, 2026 article is an architecture proposal; classification-boundary and cross-domain-guard descriptions are not security accreditation or deployment evidence.
CanadaBuys lists NovaFuse as a supplier interested in partnering on the Multi-modal AI for Advanced Situational Decisions tender, with supplier-submitted company details and a May 27, 2026 page modification. An interested-supplier listing is not IDEaS qualification, funding or procurement acceptance.
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