1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsMachine learning-based laser powder bed fusion in-situ monitoring package (SBIR Phase I) is sponsored by National Institute of Standards and Technology (NIST). This opportunity supports mission-aligned projects and measurable outcomes.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Machine Learning-Based Laser Powder Bed Fusion In-Situ Monitoring Package 555 QUINCE ORCHARD RD STE 510 GAITHERSBURG, MD, 20878-1464 Socially and Economically Disadvantaged: No Congressional District: 6 Total Award Amount: $100,000 Contract Number: 70NANB25H067 Agency Tracking Number: 112-FY25 Solicitation Topic Code: 6 Solicitation Number: 2025-NIST-SBIR-01 Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but it suffers from well-known problems of inconsistent quality of the finished product.
As such, develop an in-situ monitoring technology for metal AM components is critically important. The developed technology must be able to perform real-time monitoring, and close-loop machine feedback, and enable the commercial machine integration.
To address this critical need, X-wave Innovations, Inc. (XII) and Johns Hopkins University Applied Physics Laboratory (JHU/APL) propose to develop an advance machine learning-based in-situ monitoring (ML-ISM) package for powder bed fusion processes. This technology provides a real-time laser powder bed fusion (LPBF) process monitoring and machine learning solution to produce high-quality metallic end products.
The technology development involved in-situ monitoring and advanced machine learning correlation algorithms. Upon completion, this technology is expected to be applicable to powder bed fusion AM processes for improved productivity and reduced rejected components due to inferior quality. In Phase I program, XII will demonstrate the feasibility of the machine learning-based in-situ monitoring package.
In Phase II program, we will integrate the ML-ISM suite into commercial LPBF system, and accompanying software tools for operation of the ML-ISM system. Email: xgong@x-waveinnovations. com Email: jduan@x-waveinnovations.
com
According to the current listing, eligibility includes: Small businesses, with opportunities for universities to partner. Phase I projects establish merit, feasibility, and commercial potential. Confirm the full requirements in the official notice before applying.
The current listing shows up to $100,000 (Phase I), up to $400,000 (Phase II). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Machine learning-based laser powder bed fusion in-situ monitoring package (SBIR Phase I) is funded by National Institute of Standards and Technology (NIST). 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.
Past winners and funding trends for this program
NIST is pausing all submissions under the CRDO Broad Agency Announcement (2025-NIST-CHIPS-CRDO-01) on September 15, 2026 for system upgrades — no white papers, no pre-negotiation packages, no investment fund applications until roughly November. Here is what the pause means for a $10M-minimum rolling BAA that runs through 2029, and how to use the dark window.
Read articleThe FY2026 MEP Center State Competition ran in two rounds: eight states worth $139.1 million, then fourteen more worth $232.4 million, both closing August 21, 2026. That's 43 percent of the national network recompeted in twelve months, under a 50 percent non-federal cost share, while the administration's own budget request proposed eliminating the program. Here's what the award tables reveal, why incumbents are genuinely at risk, and how to position for the FY2027 wave.
Read articleNIST's July 2026 MEP funding opportunity opens 14 state and territory centers — from California's $15.6M to Alaska's $706K — to new operators under cooperative agreements requiring a 50% nonfederal match. Applications are due August 21, 2026, with a July 28 webinar. Here is who can compete, how the match works, and why this recompete matters for every small manufacturer in those 14 states.
Read article