Opportunity

Merx #W7714-248676/013

Solicitation for AI-Driven Situational Awareness Solutions for Canadian Armed Forces

Posted

April 23, 2026

Respond By

June 02, 2026

Identifier

W7714-248676/013

NAICS

541512, 518210

This opportunity invites innovative technology providers to support the Canadian Armed Forces with advanced AI-driven situational awareness solutions: - Government Buyer: - Department of Public Works and Government Services (PSPC), under the Innovation for Defence Excellence and Security (IDEaS) Program - Scope of Work: - Development and integration of AI models capable of fusing at least two heterogeneous data types (e.g., sensor, text, RF, imagery, video, audio, telemetry) - Solutions must deliver real-time, explainable, and policy-aware outputs for operational decision-making - Integration with Canadian Armed Forces (CAF) ISR platforms, command and control systems, and tactical deployments - Key Technical Requirements: - Deep learning architectures - Entity resolution and knowledge graph integration - Policy-aware fusion and scalable real-time data pipelines - Explainability and edge deployment capabilities - Unique/Notable Requirements: - Must support CAF Digital Campaign Plan and DND/CAF AI Strategy - Emphasis on interoperability, security, and rapid decision-making in contested environments - OEMs and Vendors: - No specific OEMs or vendors are named; open to all qualified technology providers - Products/Services Requested: - AI-driven situational awareness solution development and integration (no part numbers or quantities specified) - Place of Performance: - Canada-wide, with contracting managed by PSPC

Description

This solicitation seeks innovative AI-driven solutions that fuse heterogeneous multi-domain data streams to provide real-time, explainable, and policy-aware situational awareness for operational decision-making. The goal is to increase battlefield situational awareness, reduce vulnerabilities, and accelerate decision-making. The solutions should be capable of ingesting and fusing at least two heterogeneous data types to produce classification, detection, and correlation outputs. Desired capabilities include deep learning architectures, entity resolution, policy-aware fusion, scalable real-time fusion pipelines, and considerations for edge deployment. The solutions will be integrated into CAF ISR platforms, C2 systems, and tactical deployments to inform doctrine and procurement strategies.

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