AI contractor for the Federal Bureau of Investigation.

Why the FBI is buying AI in 2026

The Federal Bureau of Investigation sits at the intersection of law enforcement, counterintelligence, and cyber — three mission spaces where the volume of incoming signal now exceeds the Bureau's ability to triage it by hand. Tip lines, seized devices, intercepted communications, open-source social media, dark-web marketplaces, and partner-agency feeds produce more leads per day than special agents can review in a week. Large language models, retrieval-augmented systems, and agentic workflows are the leverage the Bureau is now actively buying.

Public statements from the FBI's Science and Technology Branch, budget justifications to Congress, and recent Broad Agency Announcements from the Operational Technology Division make clear the Bureau wants production-grade AI partners — not vendors selling chatbot demos. Precision Delivery Federal LLC is built for that buyer. We are SAM.gov-active, small-business registered, NAICS 541512 primary, and we have 86 FBI-targeted proposal drafts already in our library covering OTD, CJIS, Cyber Division, Counterintelligence Division, and Laboratory Division scope.

How Precision Federal fits FBI mission scope

We map our capability set against the Bureau's public mission priorities and the technical gaps surfaced in recent BAAs. The fit categories below are where our AI/ML work lines up cleanest with FBI requirements.

• Lead generation from tips — The FBI's National Threat Operations Center and tips.fbi.gov ingest hundreds of thousands of tips per year. We build triage and clustering pipelines using hybrid retrieval and LLM classifiers, with priority scoring, duplicate detection across multiple intake channels, and provenance on every classification so it stands up in an affidavit.
• Case file summarization — Multi-agent systems that read 302s, transcripts, exhibits, and subject interviews, then produce investigator-grade summaries with source anchors. Every generated claim is traceable to a specific page, line, and document hash. No unsourced synthesis.
• OSINT fusion — Ingest pipelines across open social media, forums, dark web markets, corporate records, sanctions lists, and geolocated imagery. Entity resolution across aliases, burner accounts, and transliterated names. Output a single investigator view with confidence scoring.
• Counterintelligence signal analysis — Graph analytics on travel patterns, communication metadata, publication and conference networks, and funding flows. ML models trained to surface anomalies consistent with known tradecraft without overfitting to historical cases.
• Forensic analytics — Laboratory Division work around seized-media processing, deleted-artifact recovery with probabilistic content labeling, and searchable indexes over terabyte-scale device dumps.
• Cyber investigations — Malware family clustering, infrastructure pivoting, ransomware negotiation corpus analysis, and TTP attribution using transformer-based encoders over threat intel feeds.
• CJIS-adjacent analytics — Decision-support layers over Criminal Justice Information Services feeds, designed around CJIS Security Policy controls and the Bureau's data-governance posture.

FBI contract vehicles and opportunity paths

The Bureau does not buy AI through a single storefront. A realistic partner maps a scope to the right vehicle and teams accordingly. The paths we actively track:

• FBI Broad Agency Announcements (BAAs) — Recurring solicitations out of the Operational Technology Division and the Laboratory Division. Usually structured as a white-paper-first gate, followed by a full proposal on invitation. This is a strong fit for AI/ML capability demonstrations and is our most active pursuit path today.
• SBIR topics — The FBI posts occasional SBIR topics and partners on cross-agency IC SBIR topics. Post-April 2026 reauthorization, we expect FBI SBIR activity to tick up, and we are DSIP-active and SBIR-registered to respond.
• ITSSS-2 and FBI IT services IDIQs — Ride as a subcontractor under prime holders. We carry AI/ML scope on task orders where the prime lacks deep LLM or ML engineering bench.
• OASIS+, Alliant 2, and GSA Schedule (MAS) — FBI increasingly reaches to governmentwide vehicles for specialized professional services. Our GSA Schedule is in planning as post-revenue vehicles come into reach.
• SEWP VI via partners — For hardware-adjacent AI deployments on FBI networks.
• Consortium-led OTAs — The Bureau participates in several OTA consortia relevant to cyber and IC mission work. We maintain active consortium memberships to be reachable on rapid OTA calls.

Why a small business on FBI AI work

The Bureau has socio-economic goals for small business participation across its acquisitions. A prime that brings a SAM.gov-registered, NAICS 541512 small business with direct federal ML past performance onto a proposal gets three things at once: small-business subcontracting credit, specialized AI capability the prime may lack, and a partner with lean overhead that leaves more of the task-order budget for actual engineering. Those are the same reasons we are pursued for teaming on DoD AI work, and the math is identical on FBI vehicles.

A small business partner is also faster. Our engineering decisions do not route through a sub-CTO, a division president, and a capture committee. When a BAA white paper is due in fourteen days and the prime needs the AI/ML technical narrative back in seven, we deliver in seven.

Past performance that matters for the Bureau

We are direct about what we have and have not done. Precision Federal's confirmed federal past performance is a production machine learning system built at the Substance Abuse and Mental Health Services Administration (SAMHSA) — a real ML system, not a pilot, operating inside an HHS ATO boundary, serving real end users and handling real PII. Bo carried that system through federal security review, NIST 800-53 controls, audit logging, and ongoing operations. That is exactly the delivery discipline FBI BAAs require.

Beyond SAMHSA, Bo's pre-Precision work includes cloud migration and data platform engineering at federal consulting firms supporting HHS, the IRS, and multiple civilian agencies. This is directly relevant past performance for FBI mission-support modernization: the same cloud posture reviews, the same ATO inheritance patterns, the same data classification rigor.

For FBI-specific scope, we are targeting and pursuing — not claiming delivered past performance inside the Bureau. That distinction matters. We will never overstate to a federal buyer what we have done. The 86 FBI-targeted proposal drafts in our library are the plan; past performance at the Bureau is what we build as we win.

Security posture and clearance status

Our principal is a Lawful Permanent Resident on a defined path to U.S. citizenship in 2027. Until citizenship is in hand, classified task orders require a cleared prime sponsoring the work at the appropriate tier. What we can do today, unclassified and CUI, covers most of the Bureau's AI/ML modernization pipeline:

• CUI-tagged workloads on AWS GovCloud, Azure Government, or on-premise Bureau environments.
• CJIS-compliant deployments via partner cloud configurations, with Bureau review of the CJIS Security Policy control matrix before go-live.
• LES (Law Enforcement Sensitive) unclassified analytics.
• Open-source OSINT collection and enrichment pipelines.
• Model gateways that route requests to the right LLM based on data tier — Claude and GPT-4 for CUI on FedRAMP paths, Llama and Mistral for air-gapped work.

The federal stack we bring

Our AI/ML stack is built for federal deployment from day one, not retrofitted from a SaaS product. The major components:

• Frontier models on FedRAMP paths — Claude via AWS Bedrock GovCloud, GPT-4/o-series via Azure OpenAI FedRAMP High.
• Open-weight on-prem — Llama 3.x, Mistral, Qwen for air-gapped or sensitive work.
• Orchestration — LangChain, LangGraph, custom Pydantic + FastAPI agent frameworks with full audit logging.
• Retrieval — pgvector, Weaviate, Qdrant, hybrid BM25 + dense, with provenance metadata attached to every chunk.
• Observability — prompt/response capture, per-call token attribution, drift detection, adversarial input monitoring.
• Security — NIST 800-53 controls baked in, prompt injection defenses, data exfiltration monitoring, human-in-the-loop gates on high-risk tool calls.

How to engage

If you are an FBI contracting officer, a prime on an FBI vehicle, a PI on an FBI BAA, or a division technical lead scoping an AI requirement, email [email protected] with the vehicle, the topic or BAA number, and the scope you need carried. We respond within 24 hours with a fit assessment, a rough level of effort, and a draft teaming construct if subcontracting is the path.