Win the bid.
Defend the work.
Defensible AI for small federal contractors. We help small primes and subs adopt AI without putting their next recompete at risk — and we build the governance, controls, and evidence that federal buyers increasingly ask for.
The Applied Difference
Most firms buy AI on faith. Federal contractors can't afford to.
Gartner predicts half of AI-attributed layoffs will be reversed by 2027. Forrester puts the regret rate above 50%. Four CEOs have already walked back AI-framed cuts on the record. The pattern isn't AI failure — it's AI adoption without measurement, without redesign, without protection of the pipeline, without preserved trust.
We work the four moves the high performers actually run. Sequenced deliberately. Each one fails without the prior one in place.
Measure before you cut.
Brynjolfsson, Li & Raymond's 5,000-agent QJE field study is the gold-standard template. Vendor pitches are not measurement. The diagnostic starts here — a structured read on where AI moves the needle in your actual workflows, and where it doesn't.
Redesign the workflow, then shift the composition.
Cisco and Meta's playbooks: reorganize teams around AI first, then adjust hiring. Sequence matters. Automating incumbent jobs without redesign produces weaker results and harsher recompete optics.
Protect the bottom.
Stanford HAI documents a ~13% relative decline in 22–25-year-old employment in AI-exposed roles. For federal contractors, that's your future LCAT pipeline. Rebuild it now or pay in three to seven years on past-performance weight.
Treat trust as the asset it is.
Harvard Business School researcher Sandra Sucher documents that trust damage is durable. For small primes whose recompete posture depends on incumbent relationships and clearance-eligible retention, trust isn't soft — it's the asset you're defending.
The four moves are the analytical scaffolding behind every Gittielabs engagement. They're also how we connect a CEO's AI investment to the governance posture federal buyers want to see — covered in the next section.
→ Read the full research: Augmentation, Not ReplacementWe are not a traditional agency.
We are a specialized strike team.
Gittielabs was built on the belief that complex problems don't need more people; they need better architects. Federal contracting is where that belief gets tested — small primes whose margin doesn't survive a wrong hire, whose recompete depends on what they can actually demonstrate, and whose throughput is the difference between winning the next task order and keeping the people who staff it.
Founder & Principal AI Architect
"The bridge between the C-Suite and the Codebase."
Keith builds AI systems for federal contractors. He is not a theoretical consultant who hands the build to junior teams — he writes the code, architects the agents, and deploys to production. He built the customer-zero version of the Rigovera staffing platform for a small intelligence-community prime in 2025, and a Shipley-method BD engine for the same firm, grounded in thousands of their own contract documents with every finding cited to source. He also authored the ISO/IEC 42001-aligned governance material that sits behind the Applied AI Diagnostic. He wrote Augmentation, Not Replacement, the May 2026 research piece synthesizing the four-move blueprint.
That practitioner vantage shapes everything Gittielabs does: technology must serve the business mission, not the other way around.
Keith holds a unique dual-perspective:
- >The EngineerComputer Engineering (Georgia Tech), 15+ year coding veteran who builds agents, mobile apps, and secure infrastructure daily.
- >The StrategistMBA (Columbia Business School) who understands P&L, risk mitigation, and the ROI case required for early-stage AI investment.
Education & Service
- Columbia Business School
MBA, Finance & Entrepreneurship - Georgia Tech
B.S. Computer Engineering - Morehouse College
B.S. General Science - United States Military Academy at West Point
Medical discharge
Gittielabs is a Service-Disabled Veteran-Owned Small Business (SDVOSB).
What we build
Proof we build, not slideware.
The Applied AI Diagnostic finds where applied AI actually fits your firm — across staffing, program management, business development and capture, proposal development, recruiting throughput, and back-office compliance. Where it fits is specific to how your shop wins and defends work, which is why it's worth proving before you integrate anything.
What follows isn't a catalog. It's evidence. When we identify the highest-value workflow in a firm, we don't hand over a strategy deck — we build working systems against the hardest parts of federal contracting. Two examples, both in production:
No program manager can hold multiple active task orders — each with a hundred or more labor categories — in their head. That's the real bottleneck on people-based contracts: not finding talent, but proving the right person maps to the right LCAT, at rate, every time you submit. And on a contract that runs for years, you submit constantly — backfilling departures, re-justifying the team when a modification changes the LCATs, defending a candidate's resume to move them up a pay band.
Rigovera Staffing is in production today as a hosted platform, with single-tenant deployment available when a firm wants it. Load a contract's LCATs — hundreds for a mid-size firm, thousands for a large one — and score any candidate against a specific labor category in minutes. Each requirement is marked Met, Partially Met, or Not Met; every flag opens a gap analysis with targeted questions to confirm whether the candidate actually qualifies. The discipline a contracting officer cares about: matches are justified only from evidence in the resume — citing company, role, and dates — never invention. It exports a submission-formatted resume that doubles as your compliance record, plus an interview-prep brief that explains each requirement and how to probe the gaps, because the person screening often doesn't know every LCAT cold. A conversion that took hours takes five to ten minutes — so you review more candidates, screen out mismatches before they reach the PM or the CO, and protect the trust the whole prime-sub chain runs on.
We built and deployed a Shipley-method bid/no-bid engine for a small intelligence-community prime. The full stack is containerized — deployable by Docker Compose into your own servers or the cloud environment of your choice, not a SaaS account on someone else's tenant. It ingested, indexed, and served the firm's full performance repository (6,000+ contract, proposal, and teaming documents) through a combined SQL and retrieval architecture. Upload an RFI, questionnaire, or RFP and it produces a first-gate read: competitive landscape with named likely competitors, strategic-alignment and opportunity-fit scoring, a capability-gap analysis mapped to the solicitation, and a teaming recommendation that names specific firms to cover the gaps. Ask it “do we have this capability?” and it answers from your evidence. Every claim carries a citation to the source document — down to the page — alongside verifiable public-source links. Export the brief to Word for your capture team.
However we build, you stay in control of your data — where it lives, which model touches it, and what leaves your environment. We're model-agnostic, so you're never locked to one vendor's roadmap or price sheet.
Product Spotlight
Rigovera
Win the bid. Defend the work.
Rigovera is the platform Gittielabs implements when a diagnostic identifies AI workflows worth building on. Architected as an umbrella platform with named modules — Staffing, Capture, Proposal, Compliance, and Recruiting — each module addresses a discrete federal contractor workflow with the same governance posture underneath: auditable, framework-aligned, defensible on a recompete.
Rigovera Staffing is the first module in production — deployed customer-zero with a small intelligence-community prime contractor. Auditable by design: every AI action is logged, traceable, and defensible on a recompete.
Visit rigovera.comSignal Through the Noise.
Research and analysis for federal contractors making real AI decisions.
The Boutique Promise
We are not a body shop.
We are a strike team.
We don't throw 50 junior consultants at a problem. We engage with focused, high-level expertise. We assess, we build, and we hand over the keys.