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The Massachusetts Applied AI Models Innovation Challenge 2. 0, administered by the Massachusetts AI Hub at the Massachusetts Technology Collaborative, is a flagship grant program funding the development of domain-specific AI models capable of catalyzing scientific discoveries, accelerating commercialization of AI applications, or generating substantial public benefits.
Priority industry sectors include healthcare and life sciences, financial services, robotics, advanced manufacturing, climate tech, and education. The Challenge 2. 0 builds on the inaugural 2025 round and seeks projects that develop, fine-tune, or adapt AI models to unlock breakthroughs with significant downstream applications within the next three years.
Awards support model development, dataset curation, validation, benchmarking, and commercialization planning.
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Search similar grants →According to the current listing, eligibility includes: Primary applicant/investigator must be affiliated with a college, university, nonprofit research institution, or other nonprofit entity legally organized in Massachusetts. Industry partners encouraged. Applicants must provide a 25% match (cash or in-kind) of requested funding. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1,000,000 USD per award. Total program funding of approximately $2,000,000 across multiple awards. Applicants must provide a 25% match of requested funding (cash or in-kind). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Massachusetts Applied AI Models Innovation Challenge 2.0 for Domain-Specific AI Models is funded by Massachusetts Technology Collaborative (Massachusetts AI Hub). Verify program details on the funder's official page before applying.
This opportunity targets applicants in MA. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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