Reliable Artificial Intelligence Sensor Fusion Innovative Solutions
- Client
- Quebec
- RFP Number
- AI-1066
- Posted
- 6/5/2026
- Category
- Artificial Intelligence and Machine Learning
- Budget
- Looking for Proposal
- NAICS
- —
- Set-aside
- —
- Contact
- —
Description
AI GeneratedThe Canadian Department of National Defence is seeking innovative artificial intelligence solutions that embed compliance-by-design into multi-sensor, multi-domain fusion workflows. The agency is trying to solve the problem of enforcing classification rules, legal constraints, and policy adherence in real time during data aggregation and analysis. The core objective is to develop a modular, AI-enabled Fusion Compliance Engine that automatically processes these constraints without requiring human approval for predefined policy conditions. The scope of work covers executing compliance checks and enforcement actions programmatically during data ingestion and fusion processing across at least two sensor modalities. The system must generate and retain detailed provenance records, including source sensor identification, classification markings, timestamps, and domain of origin. Additionally, the solution must produce exportable audit logs documenting applied policy rules, enforcement actions taken, and data lineage traceability to support forensic analysis and accreditation activities. The agency requires the system to deliver real-time compliance enforcement with performance levels suitable for tactical decision-making. The project scope also includes building explainability and operator trust mechanisms, which must feature human-readable compliance decisions and controlled override capabilities with accountability safeguards. The contract period for this project will be for one year, and the performance of the work will take place offsite. Eligibility is restricted to onshore bidders located in Canada only. Bidders must submit their proposals digitally via email or through the online portal. The agency has not disclosed a set budget and is looking for proposals to define the financial parameters.
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