UEI · KVG4XEB6A2P5  ·  CAGE · 15VN1  ·  NAICS · 541512 / 541519 / 541511 / 518210 SMALL BUSINESS PRIME · MDA
Past Performance

Programs we still run.

Redacted to what we're permitted to publish. Full CPARS ratings, references, and contract detail available under NDA.

Defense agency

Enterprise data consolidation

Prime
FY23 – present
$— 5M
Situation

Program reporting depended on 31 source systems and a manual monthly reconciliation that took nine days and routinely disagreed with itself.

What we did

Established data lineage across all sources, stood up a governed lakehouse in the agency's authorized cloud environment, and automated the reporting pipeline with validation gates at each hop.

Results
9 days → 4 hrs
Reporting cycle time
31 → 1
Authoritative sources
Zero
Missed reporting deadlines since cutover
Civilian agency

ATO recovery and continuous monitoring

Prime
FY24 – present
$— 1.2M
Situation

A mission-critical system sat 90 days from ATO expiry with 14 open high findings and no continuous monitoring in place.

What we did

Rebuilt the RMF package, remediated findings in severity order with weekly government-visible burndown, and stood up ConMon reporting before the authorization decision.

Results
3-year ATO
Granted on first submission
14 → 0
High findings at decision
Monthly
ConMon reporting cadence sustained
Defense agency

Enterprise service desk transition

Prime
FY22 – present
$— 2M
Situation

Incumbent departure left a 4,100-ticket backlog, no current knowledge base, and an SLA the government could not verify.

What we did

Transitioned in over 30 days with no service gap, triaged the backlog by mission impact, published a live SLA dashboard, and converted recurring tickets into engineering fixes.

Results
62%
Backlog reduction in two quarters
19 weeks
To steady state
94%
First-contact resolution, current
Defense agency

Records triage with applied AI

Prime
FY25 – present
$— 2M
Situation

A records office was reviewing every incoming document by hand against a growing statutory backlog.

What we did

Built a narrow classification model on a curated, government-approved training set, with a documented evaluation harness and mandatory human review on low-confidence output.

Results
41%
Fewer manual review hours
100%
Low-confidence items human-reviewed
Model cards
Delivered for every deployed model
Agencies, periods, and figures above are placeholders — replace with your real CPARS-backed record before this goes live.