We help federal agencies, public-sector primes, and mission teams inventory, classify, govern, and secure AI use cases under the NIST AI RMF, EO 14179, and current OMB federal AI governance guidance (M-25-21), and we build the underlying systems too. This is the public-sector proof lane on the site: governance, private AI, and delivery support for unclassified work under a public-sector control model.
Some buyers need governance language for a program already moving. Some need a tighter private or controlled deployment. Some need the data and AI system itself built with handoff intact. This page is meant to route those paths clearly, not just act like a static capability sheet. For the cross-sector view, see the regulated-industries comparison; for the boundary decision itself, read when federal AI needs a stronger private boundary.
A fixed-scope first engagement for unclassified programs that need AI use-case inventory, NIST AI RMF risk classification, system and tool-boundary decisions, and a readiness roadmap that program, security, and procurement leads can defend. Typical starting range: $18,000-$30,000 for one program or workflow.
Where the issue is model boundary, data handling, or supply-chain trust, we scope the private AI architecture, logging, access controls, and operational evidence for a stronger deployment posture without pretending every buyer needs a custom platform.
RAG systems, ingest pipelines, agent workflows, model serving, and the runbooks and handoff artifacts a federal operator or prime can actually maintain after transition.
Federal AI governance buyers speak a specific language: an AI use-case inventory, a Chief AI Officer structure, risk classification under the NIST AI RMF, and the readiness current OMB federal AI guidance (M-25-21) and EO 14179 ask of agency AI. We do that work on unclassified systems, and we build and secure the systems underneath it. Every line below is written to be scanned fast and verified later.
Where we hold the contract or have permission to name the client, we do. Where we don't, the receipts are still verifiable on reference.
SAM.gov + FPDS ingestion, MongoDB-backed buyer maps, automated proposal drafting. One operator runs full BD ops at ~2% of weekly time.
0 → production in 11 weeks. Clerk JWT, 66-endpoint API Gateway, Lambda backends, LiteLLM across 5 providers. 99.9% uptime over 12 months since.
GPU-shared inference, MongoDB time-series, automated risk circuit breakers. Zero downtime since launch.
OSNet / InsightFace person re-ID across 8 RTSP streams, Docker-deployed on edge GPU.
Stripe billing, multi-tier subscriptions, PII scrubbing, full observability stack. 0 → prod end-to-end.
Threat model, prompt-injection / exfil testing, NIST AI RMF mapping, AI use policy + governance charter.
| Legal name | Data Science & Engineering Experts, Inc. |
|---|---|
| DBA | DSE-Experts |
| State of incorp. | Delaware · C-corp · 2026 |
| UEI | XXXXXXXXX (on file at SAM.gov) |
| CAGE code | on request |
| DUNS | 109850590 |
| SAM.gov | Registered · active · expires 2027 |
| Main office | 8735 Dunwoody Place #5714, Atlanta GA 30350 |
| NAICS | 541330 · 541511 · 541512 · 541519 · 541690 · 518210 |
| Set-aside | Small business · other socio-economic on request |
| CMMC | Level 2 narrative-ready · self-assessment on file |
| Frameworks | NIST AI RMF · EU AI Act · ISO 42001 · NIST 800-53 fluent |
| Clearance | Cleared-staff capable · specific levels on engagement basis |
| Bonding | Available on request through partner surety |
| Insurance | E&O · cyber · general liability — certificates on request |
| POC | contact@thedataexperts.us · +1 888 928 2070 |
The same principal who answers the phone writes the architecture diagrams, attends the demos, and signs the runbook. There is no juniorization. Your contracting officer talks to the engineer.
Numbers on this page are not adjectives. References on request.
As a small firm we'll prime small contracts, subcontract on existing vehicles, or team with primes for larger scope. We also pursue OTAs and direct-to-mission engagements. The governance method is the same one we run commercially: see AI governance readiness and the public mcp-warden integrity gate.
We'll team with primes who already hold these. Strong partner network in each.
Our deliverables already speak the language of the controls below. We don't bolt them on after the fact.
A principal monitors this inbox. Expect a substantive response — not a marketing reply. If we're not a fit for the scope, we'll say so quickly and refer to a firm that is.