Company overview
SprintiQ Inc. delivers AI engineering and AI governance for federal agencies and regulated industries. We build production agentic and retrieval-augmented systems, audit deployed AI agent systems against an integrated threat and compliance methodology, and design governance programs that hold up under OIG and procurement scrutiny.
Every system we build carries its own audit evidence: provenance attestation, confidence-bounded outputs, and non-repudiable decision logs.
Core competencies
AI Trust Auditing
Structured audits of deployed AI agent systems: STRIDE threat modeling applied per node and edge of the agent graph, FMEA risk prioritization with severity, probability, and detectability scored at intermediate actions, and NIST AI RMF maturity assessment with four-level evidence documentation.
DeliverablesRanked threat register, gap inventory, sequenced remediation roadmap, hash-sealed machine-readable audit record.
AI Governance and Responsible AI Operations
NIST AI RMF program design, Responsible AI impact assessment processes at release cadence, OMB M-25-21 alignment including AI use case inventories and rights- and safety-impacting determinations, OIG audit readiness, and AI procurement language review.
Agentic and RAG System Engineering
Production LLM systems: context engineering, retrieval pipelines over regulatory and federal program corpora with pinned corpus provenance, structured output enforcement, agent orchestration with bounded autonomy and human approval gates, adversarial testing methodology.
Human-in-the-Loop Design for Consequential Decisions
Confidence-bounded outputs, mandatory disposition rationale, immutable decision and override logs, PII minimization by architecture.
Differentiators
Integrated methodology, not parallel documents
STRIDE + FMEA + NIST AI RMF in one pipeline. Findings arrive risk-ranked and mapped to compliance evidence, not as three separate reports someone else has to reconcile.
Reproducible governance conclusions
Methodology versions, prompts, corpus snapshots, and model versions are pinned per engagement. An examiner can re-run the conclusion, not just read it.
We operate what we recommend
Our own production systems are built and audited under the same controls we deliver.
Federal domain depth
Principal-led USDA fraud detection program with $12M in measured federal program impact, and published work on OIG audit readiness for agency AI agents.
Products and past performance
earmark.ag Production
Federal program intelligence agent in the USDA FSA program domain: live payment schedule computation, provenance attestation, confidence-bounded outputs, immutable decision logs.
SprintiQ Turbo Apache 2.0
Production agile planning and AI agent orchestration platform with bidirectional coding-agent sync and an immutable delivery audit trail. Open-source core.
Agent Trust Audit practice Engagements
Senior-led audit engagements delivered under the integrated methodology, with machine-readable, hash-sealed artifacts.
SprintiQ™