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The SCALE AI Acceleration Program provides funding of up to CAD $50,000 (approximately $36,500 USD) to AI startups and SMEs building AI-powered supply chain solutions.
Scale AI is Canada's AI Supercluster, a $230 million public-private partnership that accelerates the adoption and commercialization of AI in supply chain management across key Canadian industries including manufacturing, transportation and warehousing, and professional services.
The Acceleration program supports early-stage companies in developing and validating AI solutions for supply chain optimization, logistics, inventory management, demand forecasting, and related applications. The program operates on a rolling basis.
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Or search similar grants →According to the current listing, eligibility includes: Canadian AI startups and small-medium enterprises (SMEs) working on AI-powered supply chain and value chain solutions. Companies must operate in eligible sectors including manufacturing, transportation/warehousing, retail, and professional services. Confirm the full requirements in the official notice before applying.
The current listing shows up to $50,000 per supported startup (paid to accredited incubator/accelerator, not startup directly). Verify award ceilings, matching requirements, and allowable costs in the official notice.
SCALE AI Acceleration Program for AI Supply Chain Startups accepts applications on a rolling basis — there is no single fixed deadline. Check the official notice for any cycle-specific review dates.
SCALE AI Acceleration Program for AI Supply Chain Startups is funded by Scale AI (Canada AI Supercluster). Verify program details on the funder's official page before applying.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
The Economic Development Administration's Build to Scale program is level-funded at $50 million for FY2026 across two competitions — the Venture Challenge and the Capital Challenge. Both require a 1:1 match and reward regional coalitions that spent months building a pipeline before the NOFO dropped. Here's how the program actually works and how to be ready when it opens.
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