Software/AI
NSF SBIR for AI Startups: The Single-Axis Pattern Behind Real Declines
NSF's public guidance says it funds high-risk innovation. Its decline letters are more specific: the hard declines cite the same single criterion in nearly identical language, and AI-application pitches are the most consistent casualties. This piece publishes the pattern, the language NSF uses, and the 3-question screen to run before you spend a cycle.
Federal Grants for AI Startups: Which Agencies Actually Fund Machine Learning
Every guide to federal grants for AI startups is organized agency-first, which only helps a founder who already knows which agency to read about. This one runs the other direction, starting from a scan of USAspending award records for FY2023 to FY2025. NIH turns out to be the largest single source of AI and machine learning small-business awards, ahead of NSF, and the National Institute on Aging leads NIH. It also shows where the award data lies to you.
From Bomb Disposal to Your Living Room: How iRobot Turned Military Contracts into the Roomba Revolution
Learn how iRobot leveraged SBIR grants and defense contracts to evolve from building bomb disposal robots to creating the Roomba, pioneering the consumer robotics industry worth billions.
AI and Machine Learning Grant Opportunities: A Founder's Guide to Non-Dilutive R&D Funding
The AI funding landscape has fundamentally shifted beyond venture capital, with over $2 billion in non-dilutive grant funding now available annually for machine learning startups.
The Multi-Grant Strategy For Deep Tech Companies: A Comprehensive Guide
Deep tech companies often face long development timelines, high research costs, and significant technical risk. These challenges can make it difficult to rely on a single source of funding.