SCAIE: R&D for a Secure Collaborative AI Ecosystem (SBIR/STTR Phase II) — a federal contract (USAspending)
The Missile Defense Agency (MDA) awarded this roughly $1.7 million research-and-development contract to NIMBIS SERVICES INC. It covers SCAIE, a Secure Collaborative Artificial Intelligence Ecosystem in which multiple organizations can safely pool data and models to build and use AI together.
Contract key facts
- RecipientNIMBIS SERVICES INC
- Contract value$1,698,837 (≈$1.7M)
- Awarding agencyDepartment of Defense
- Awarding sub-agencyMissile Defense Agency
- Award typeDEFINITIVE CONTRACT
- Period of performance2022-03-21 〜 2024-06-23
- Contract ID (PIID)HQ086022C7403
Contract scope (original)
SBIR/STTR PHASE II R&D SECURE COLLABORATIVE ARTIFICIAL INTELLIGENCE ECOSYSTEM (SCAIE)
Key points
- Awarded by the Missile Defense Agency (MDA), part of the Department of Defense, to NIMBIS SERVICES INC.
- Contract number HQ086022C7403, valued at $1,698,837.
- Falls under SBIR/STTR Phase II, the substantial small-business R&D stage.
- Topic is a Secure Collaborative Artificial Intelligence Ecosystem (SCAIE) — a platform for multiple organizations to safely pool data and models to build and use AI together.
- Specific deliverables are not described in the source record.
The awarding office, the Missile Defense Agency (MDA), is the Department of Defense organization responsible for developing and acquiring the United States' ballistic missile defense system. The recipient, NIMBIS SERVICES INC, was selected through SBIR/STTR, federal programs that support small-business research and development. SBIR (Small Business Innovation Research) and STTR (Small Business Technology Transfer) fund small-company R&D in stages, and Phase II is the substantial development stage that follows the feasibility-focused Phase I.
The project topic, SCAIE (Secure Collaborative Artificial Intelligence Ecosystem), refers to a platform that lets multiple organizations safely pool their data and AI models to build and use AI together. What stands out is the attempt to satisfy two requirements that are hard to reconcile at once: keeping sensitive information protected while still enabling cooperation across organizations. In the defense domain, where the information involved is often highly sensitive yet performance and reliability improve when many parties contribute their expertise, there is a clear motivation for systems that balance security with collaboration.
Viewed more broadly, this contract is an example of the federal government advancing AI research with help from small businesses, and the challenge of sharing data while still protecting it is common well beyond defense, extending to healthcare, finance, and public administration. The SBIR/STTR Phase II framework serves as an early-stage investment that channels emerging technology toward government acquisition, making this award a concrete illustration of how public funding is being directed at the universal theme of secure data collaboration.
Why it matters
This contract is an example of public funding directed at secure data sharing and collaborative AI development, a challenge common across healthcare, finance, and public administration as well as defense. As an SBIR/STTR Phase II award, it acts as early-stage investment that channels small-business technology toward government acquisition, offering firms in related fields a signal of where government interest lies.
FAQ
What is SBIR/STTR Phase II?
What is the Secure Collaborative Artificial Intelligence Ecosystem (SCAIE)?
What was completed or delivered under this contract?
Sources (primary)
This article is an independent organization based on the U.S. official spending data below. Verify the exact, latest details with the official source.
- USAspending (award details)
- Contract ID (PIID):HQ086022C7403