DARIT Technologies

Supports: Profile · reviewed questions.darit-technologies-q2.confidence

DND names DARIT among the Espace Aero-led NEXUS consortium selected for the Uncrewed Systems Defence Innovation Secure Hub, principally at YMX Mirabel. CAD 29.6 million over two years is consortium funding, not DARIT funding or procurement revenue.

Supports: Profile · reviewed questions.darit-technologies-q2.id

DND names DARIT among the Espace Aero-led NEXUS consortium selected for the Uncrewed Systems Defence Innovation Secure Hub, principally at YMX Mirabel. CAD 29.6 million over two years is consortium funding, not DARIT funding or procurement revenue.

Supports: Profile · current activity as of

DARIT identifies its NEXUS contribution as Counter-UxS and RAS design, testing and validation work. Company wording differs from DND on the number of use cases and command acronym; the proposed dossier retains the verified participation and bounded contribution rather than those inconsistent details.

Supports: Profile · reviewed questions.darit-technologies-q2.id

DARIT identifies its NEXUS contribution as Counter-UxS and RAS design, testing and validation work. Company wording differs from DND on the number of use cases and command acronym; the proposed dossier retains the verified participation and bounded contribution rather than those inconsistent details.

Supports: Profile · current activity

DARIT identifies its NEXUS contribution as Counter-UxS and RAS design, testing and validation work. Company wording differs from DND on the number of use cases and command acronym; the proposed dossier retains the verified participation and bounded contribution rather than those inconsistent details.

Supports: Profile · reviewed questions.darit-technologies-q2.confidence

DARIT identifies its NEXUS contribution as Counter-UxS and RAS design, testing and validation work. Company wording differs from DND on the number of use cases and command acronym; the proposed dossier retains the verified participation and bounded contribution rather than those inconsistent details.

Supports: Profile · reviewed questions.darit-technologies-q1.id

DND identifies Sherbrooke-based DARIT as first-place recipient of a CAD 1 million Diamond in the Rough prize following November 24–28, 2025 Ottawa urban drone-detection trials. The award reflects demonstrated developmental promise, not operational acquisition or qualification of all current products.

Supports: Profile · operating context

DND identifies Sherbrooke-based DARIT as first-place recipient of a CAD 1 million Diamond in the Rough prize following November 24–28, 2025 Ottawa urban drone-detection trials. The award reflects demonstrated developmental promise, not operational acquisition or qualification of all current products.

Supports: Profile · disclosed financing summary

DND identifies Sherbrooke-based DARIT as first-place recipient of a CAD 1 million Diamond in the Rough prize following November 24–28, 2025 Ottawa urban drone-detection trials. The award reflects demonstrated developmental promise, not operational acquisition or qualification of all current products.

Supports: Profile · reviewed questions.darit-technologies-q1.question

DND identifies Sherbrooke-based DARIT as first-place recipient of a CAD 1 million Diamond in the Rough prize following November 24–28, 2025 Ottawa urban drone-detection trials. The award reflects demonstrated developmental promise, not operational acquisition or qualification of all current products.

Supports: Profile · operating context

A Department of National Defence announcement identifies DARIT Technologies among prize winners from public Urban Sandbox counter-drone detection trials; this is programme evidence and not a current procurement or deployment claim.

Supports: Profile · reviewed questions.darit-technologies-q1.confidence

DND identifies Sherbrooke-based DARIT as first-place recipient of a CAD 1 million Diamond in the Rough prize following November 24–28, 2025 Ottawa urban drone-detection trials. The award reflects demonstrated developmental promise, not operational acquisition or qualification of all current products.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · maturity

DND identifies Sherbrooke-based DARIT as first-place recipient of a CAD 1 million Diamond in the Rough prize following November 24–28, 2025 Ottawa urban drone-detection trials. The award reflects demonstrated developmental promise, not operational acquisition or qualification of all current products.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · summary

DND identifies Sherbrooke-based DARIT as first-place recipient of a CAD 1 million Diamond in the Rough prize following November 24–28, 2025 Ottawa urban drone-detection trials. The award reflects demonstrated developmental promise, not operational acquisition or qualification of all current products.

Supports: Public innovation-trial prize relationship

Source location: relationships.0.publicSummary

A Department of National Defence announcement identifies DARIT Technologies among prize winners from public Urban Sandbox counter-drone detection trials; this is programme evidence and not a current procurement or deployment claim.

Supports: Profile · operating context

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: Profile · reviewed questions.darit-technologies-q1.confidence

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: Profile · reviewed questions.darit-technologies-q1.id

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · defence applications

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · technical tags

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · core features

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · name

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · defence applications

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · summary

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · technicaldomainslugs

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · defence applications

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · core features

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · technical tags

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · core features

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · capability type

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · technical tags

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · technology readiness level

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · technical tags

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · technicaldomainslugs

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification → Autonomous Patrol and Monitoring

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification → Autonomous Patrol and Monitoring

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification → Autonomous Patrol and Monitoring

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification → Autonomous Patrol and Monitoring

REMPART fuses radar, LiDAR, RF, EO/IR and acoustic inputs across distributed sensor stations, with interfaces for external C2 and modular effectors. DARIT states mobile assembly and calibration in under one hour; public documentation does not establish detection ranges or independently validate every supported effector.

Supports: Profile · reviewed questions.darit-technologies-first-conversation.question

True North Map derives this first-conversation question from the documented DARIT Technologies capability, current evidence and the decision gap that remains.

Supports: Profile · reviewed questions.darit-technologies-first-conversation.context

DARIT Technologies'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 · editorial profile version

DARIT Technologies has sufficient mapped public evidence for private reviewer consideration of the shared editorial profile template.

Supports: Profile · operating context

The official material supports the listed features of AI-enabled counter-uncrewed-aircraft detection and classification; the feature list is intentionally limited to public wording.

Supports: Profile · description

DARIT Technologies's official public material supports its Canadian identity and the bounded capability description used in this candidate.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · commercial availability

DARIT presents REMPART multi-sensor fusion, CITADEL C2 and AURIS acoustic detection as distinct offerings, with architecture alignment, commissioning, operator training and performance-validation services.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · summary

The official capability material supports AI-enabled counter-uncrewed-aircraft detection and classification as a bounded public offering; no uncited performance or customer claim is added.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification · core features

DARIT presents REMPART multi-sensor fusion, CITADEL C2 and AURIS acoustic detection as distinct offerings, with architecture alignment, commissioning, operator training and performance-validation services.

Supports: AI-enabled counter-uncrewed-aircraft detection and classification → Autonomous Patrol and Monitoring

The publicly described AI-enabled counter-uncrewed-aircraft detection and classification could contribute to autonomous patrol, sensing or mission-data decisions. This is a derived mapping for reviewer assessment and does not establish classified demand, procurement eligibility, endorsement or operational adoption.