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Find similar grantsSBIR Phase I: Two-stage Causal AI Modeling for Causally-Aware, Edge-Deployable Healthcare AI is sponsored by NSF. Creates AI models with human-like causal understanding for reliable healthcare applications, deployable on edge devices.
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Or search similar grants →According to the current listing, eligibility includes: Small businesses focusing on healthcare AI solutions. Confirm the full requirements in the official notice before applying.
The current listing shows $304,929. Verify award ceilings, matching requirements, and allowable costs in the official notice.
SBIR Phase I: Two-stage Causal AI Modeling for Causally-Aware, Edge-Deployable Healthcare AI is funded by NSF. Verify program details on the funder's official page before applying.
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Past winners and funding trends for this program
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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