Who we are

Manifold is a Virginia-based small business founded by senior practitioners with active TS/SCI clearances and direct insider experience in the Intelligence Community. Manifold blends cutting-edge understanding with a decade of IC acquisition execution — helping sponsors make faster, better decisions on AI/ML investments and deploy them to mission at scale.

Our capabilities

Principal-led, every engagement

No benches, no hand-offs. Every engagement is delivered personally by a founding Principal. We're the same people who briefed your senior leadership, shaped your acquisitions, and published the research — not a logo with a staffing model.

Why it matters

Research-grade depth, production delivery

Experience architecting geospatial foundation models in active collaboration with Google and NVIDIA, while also delivering production CUI GenAI — including a Bedrock RAG system at a Navy UARC with full IL4 / LDAP / SSL compliance.

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Core capabilities

Full-spectrum AI/ML services scaled to the realities of IC and DoD work — from sponsor-level strategy through production deployment in accredited environments.

AI/ML Strategy & Roadmap Advisory

Foundation-model strategy, capability roadmapping, build-vs-buy analysis, and technology forecasting aligned to IC mission needs. Competitive acquisition review as technical SME, BAA evaluation, and sponsor-wide AI/ML training curriculum design.

Acquisition & Compute Strategy

Technical requirements authoring, RFP/SOW development, source-selection support, and vendor evaluation across hyperscaler GovCloud (AWS, Azure, GCP) and on-prem infrastructure. GPU/TPU cluster sizing, training-vs-inference optimization, and cost modeling for production foundation-model workloads.

Technical Program Assessment

Independent technical evaluation of AI/ML programs, risk and maturity assessments, acquisition shaping, milestone reviews, and sponsor-facing performance metrics.

Secure GenAI & Foundation-Model Deployment

End-to-end advisory for production GenAI on controlled networks: CUI / IL4 / IL5 architecture patterns, RAG system design, model and vendor selection in GovCloud, and responsible-AI evaluation including bias audits and human-in-the-loop design.