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The Regional Artificial Intelligence Initiative (RAII) is a five-year, CAD $200 million federal program running from 2024 to 2029 that is delivered regionally by Canada's seven Regional Development Agencies as part of Canada's national AI strategy.
RAII funds two broad streams: helping Canadian AI developers commercialize and scale new AI products and services, and helping Canadian businesses in other sectors adopt AI to improve productivity.
Eligible activities include productizing and demonstrating AI technology, scaling AI operations, adapting AI solutions to sector needs, building regional AI ecosystem capacity and talent, and supporting AI adoption projects in manufacturing, agriculture, health, natural resources and other industries.
Individual projects generally receive CAD $250,000 to CAD $5 million over up to three years, with a CAD $10 million per-organization ceiling. For-profit SMEs typically receive interest-free repayable contributions covering up to 50% of authorized project costs, while not-for-profits, post-secondary institutions and Indigenous organizations can receive largely non-repayable contributions of up to 90%.
Applications are made to the Regional Development Agency covering the applicant's province or territory, and intake is generally continuous rather than deadline-driven. In May 2026 the Government of Canada announced support for 44 Canadian companies under related AI programming, signalling active deployment of the fund.
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Or search similar grants →According to the current listing, eligibility includes: Incorporated Canadian for-profit businesses that have been operating for at least two years and have at least one full-time equivalent employee, and not-for-profit organizations including post-secondary institutions, industry associations, Indigenous organizations and communities, and municipalities. Projects must be carried out in Canada and must fall within the region served by the Regional Development Agency being applied to. Applicants should contact their regional agency (PrairiesCan for Alberta, Saskatchewan and Manitoba; PacifiCan for British Columbia; FedDev Ontario and FedNor for Ontario; CED for Quebec; ACOA for Atlantic Canada; CanNor for the territories) before applying, as each agency runs its own intake and prioritization process. Confirm the full requirements in the official notice before applying.
The current listing shows project funding generally ranges from CAD $250,000 to CAD $5,000,000 (approximately $182,000 to $3,650,000 USD) over a maximum of three years, with a cap of CAD $10 million per organization over the life of the program. Support is interest-free repayable for up to 50% of authorized costs for SMEs and generally non-repayable for up to 90% of costs for not-for-profit organizations. The national program envelope is CAD $200 million. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Canada Regional Artificial Intelligence Initiative (RAII) for AI Commercialization, Adoption and Ecosystem Building is funded by Government of Canada, delivered by the seven Regional Development Agencies (PrairiesCan, PacifiCan, FedDev Ontario, FedNor, CED for Quebec, ACOA, CanNor). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
PRIMED-AI is a new NIH Common Fund programme, Precision Medicine with AI: Integrating Imaging with Multimodal Data, which combines medical imaging with other health data to build AI-powered clinical decision support tools for personalised medicine. This opportunity, RFA-RM-27-014, funds the programme's Validation Center: a dedicated hub that independently evaluates and characterises the AI-enabled, image-based multimodal clinical decision support tools developed elsewhere in the consortium. The structural logic matters for applicants. NIH has separated tool-building from tool-validation and is paying separately for the second, which signals institutional recognition that self-reported performance claims from developing teams are not sufficient evidence for clinical AI. The Center's remit covers verification, validation, interoperability and uncertainty quantification, so the deliverable is a reproducible evaluation capability rather than a set of papers. It operates as a U54 cooperative agreement, meaning NIH staff are substantively involved and the Center must work in concert with the PRIMED-AI Logistics Center and the Data-to-Model and Model-to-Clinic award recipients. The RFA was released on 30 June 2026 with applications due 2 October 2026. For academic groups that have built credible AI evaluation methodology, particularly in radiology, imaging informatics or biostatistics, this is an unusually direct route to becoming the reference evaluator for a major federal AI health programme, and the position carries influence over how clinical AI performance gets measured well beyond the life of the award.
RFA-RM-27-015 funds a single Logistics Center as the coordinating hub of the NIH Common Fund's PRIMED-AI program, Precision Medicine with AI: Integrating Imaging with Multimodal Data. The award is a cooperative agreement, meaning substantial NIH scientific and programmatic involvement is built in rather than incidental, and it is administered by NIBIB on behalf of the Common Fund. The Center operates through three integrated cores: Administration, which runs the steering committees and develops consortium policies; Evaluation, which assesses progress across the funded portfolio; and Outreach, which maintains a web portal for sharing AI-based clinical decision support tools and facilitates engagement between researchers, clinicians and patient communities. The strategic point for applicants is that this is the only coordinating award in a multi-award program whose other components, the Data-to-Model Academic-Industrial Partnerships, Model-to-Clinic and Multi-use Frameworks Playbook RFAs, are separately competed and separately funded. The Logistics Center therefore does not generate its own AI models; it is scored on its capacity to run a consortium, set data and tool-sharing policy, and build infrastructure that makes other teams' clinical decision support tools discoverable and reusable. Applications are due by 5:00 PM local time of the applicant organization on the date specified for the relevant review cycle, with an earliest project start date of 2 October 2026 and a maximum project period of five years.
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