AI product development
Turn complex problems into focused AI products and workflows with clear users, decisions, constraints, and measures of success.
SBA-certified SDVOSB · SAM.gov registered
SlipRing™ trademark builds AI solutions for complex problems and helps commercial AI companies bring proven capabilities to U.S. federal missions.
Flagship AI effort
CIMOS™ is SlipRing™ trademark's flagship AI effort: an early-stage AI product the company is building in-house.
It demonstrates how we build: start with a difficult human problem, create a bounded AI workflow, and keep people in control of consequential decisions.
Core capabilities
SlipRing™ trademark works at the point where agency needs, commercial technology, and federal delivery requirements meet.
Turn complex problems into focused AI products and workflows with clear users, decisions, constraints, and measures of success.
Identify relevant commercial solutions and adapt the product, partnership, acquisition, security, and implementation approach for federal use.
Move from mission need to a focused pilot, preserving human review, accountability, and evidence for the next investment decision.
How we engage
Federal agencies
Clarify the operational need, assess where AI can materially help, and define a controlled path from evaluation to use.
Prime contractors
Support capture, solution design, teaming, and delivery where commercial AI expertise and small-business participation strengthen the mission approach.
Commercial AI companies
Translate commercial value into federal mission relevance, credible acquisition pathways, and implementation plans agencies can evaluate.
Why SlipRing™ trademark
SlipRing™ trademark is built around service, accountability, and a practical understanding that technology matters only when it improves mission outcomes.
We connect commercial product value with federal users, requirements, acquisition realities, and delivery expectations.
We favor bounded use cases, clear human decision points, explainable workflows, and evidence over broad claims or technology theater.
SlipRing™ trademark's founder is a co-author of Detecting suicide risk among U.S. servicemembers and veterans: a deep learning approach using social media data, published in Psychological Medicine in 2024 with Harvard University's Matthew K. Nock and ten colleagues. That research was conducted at RallyPoint, before SlipRing™ trademark.
Contracting information
SlipRing™ trademark welcomes direct federal conversations and teaming discussions with prime contractors and commercial technology partners.
Contact
For federal requirements, teaming, or commercial-to-government partnership discussions, contact SlipRing™ trademark's federal business team.