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Past performance

Outcomes that hold up under audit.

Below are sanitized summaries of recent federal engagements. Detailed past performance with named contacts and full quantitative outcomes is available on request to qualified federal evaluators.

CybersecurityAI & MLBig DataApplication DevelopmentProgram Management

Selected engagements

Eight programs. Audit-ready results.

A cross-section of recent federal delivery — each sanitized for public reference, with the outcome that mattered most to the program.

Cabinet-level civilian agency
Cybersecurity

ATO acceleration for a high-value financial system

Challenge

A high-value financial system was approaching a hard re-authorization deadline. The previous A&A vendor's process had run six months on a similar system the year before.

What we delivered

Deployed cyberPX, re-mapped enterprise control inheritance, produced the SSP, SAR, and POA&M, and supported assessor coordination through ATO grant.

9 weeksKickoff to ATO
Department of Defense component
Cybersecurity

Zero-trust reference architecture rollout

Challenge

Component-wide rollout of a zero-trust architecture across multiple authorization boundaries, on a published modernization timeline.

What we delivered

Boundary-by-boundary architecture review, identity and segmentation hardening, and continuous monitoring instrumentation against the new control baseline.

14System boundaries hardened
Federal grant-making bureau
Big Data

Modernization of a legacy grants data lake

Challenge

A grants data lake had grown to billions of rows with degrading performance, unclear lineage, and a compliance review approaching.

What we delivered

Re-architected storage tier, introduced a governed semantic layer, rewrote the most expensive queries, and produced full lineage documentation for the bureau's compliance team.

40%Reduction in median query latency
Department of Defense component
Application Development

Modernization of a legacy case management workflow

Challenge

A case management workflow built on a soon-to-be-deprecated stack required modernization without disrupting ongoing case load.

What we delivered

Cloud-native rebuild with Section 508 compliance, authorized on the existing boundary, deployed via blue-green cutover with no operational gap.

60%Reduction in case cycle time
Federal civilian agency
Program Management

Recovery of a multi-year modernization in yellow status

Challenge

A multi-year modernization had drifted into yellow status with an out-of-date IMS, an unmanaged risk register, and stalled milestones.

What we delivered

Rebuilt the IMS against the original technical baseline, established weekly EVM reporting, and stood up a working risk register with named owners.

100%Of milestones met or beaten in 12 months
Federal independent agency
Application Development

Public-facing data portal rebuild

Challenge

A public-facing data portal failed Section 508 audit and had a stale, brittle stack that blocked content updates.

What we delivered

Rebuilt as an accessible, statically generated portal with a content authoring workflow that lets the agency publish without engineering involvement.

AAWCAG 2.1 conformance achieved
Department of Defense component
AI & ML

RAG assistant for authorized technical doctrine retrieval

Challenge

Analysts spent significant time searching across thousands of authorized doctrine documents, with no consistent way to surface citation-level provenance for the answers they relied on.

What we delivered

Designed and deployed a retrieval-augmented generation assistant against the component's authorized corpus, governed under the agency's NIST AI RMF playbook with citation-level traceability and human-in-the-loop review for high-impact responses.

82%Reduction in average doctrine lookup time
Cabinet-level civilian agency
AI & ML

ML pipeline for improper payment risk scoring

Challenge

An improper payment review program needed to triage millions of transactions but had no defensible, auditable risk-scoring model the inspector general would accept.

What we delivered

Built a supervised ML pipeline with a documented model card, bias monitoring, drift detection, and a clear human review path for every flagged transaction. Aligned to the agency's NIST AI RMF impact assessment.

3.4×Improvement in reviewer hit rate vs. legacy heuristics

Federal evaluators

Need detailed past performance?

Full past performance information sheets — including agency points of contact, contract numbers, and quantitative outcomes — are available to qualified federal evaluators. Contact our capture team.