← AI & Data Intelligence

Grounded answers, accountable agents.

Generative AI that answers from your data, and agentic workflows that carry tasks to completion, built to hold up in accredited federal environments.

40%
less time spent finding answers and drafting
1
human gate before any action
AGENTS0/6STEPS0/6STATUSidle
Agent complete×Working
✓ TASK COMPLETE
What it includes

Past the demo stage.

The demo always works. The real question is whether generative AI can run inside a live program, on real data, under real security requirements. We build the grounding, guardrails, and human checkpoints that make it hold up.

Retrieval-augmented generation

Grounded in agency documents, policies, and case data, with citations users can verify.

Agentic workflows

Chain research, drafting, and system actions with human review at the steps that matter.

Evaluation and guardrails

Model evaluation, red-teaming, and guardrails: measured accuracy, bias review, and monitored behavior in production.

Accredited deployment

Deployment into accredited environments, including GovCloud, with the security documentation the ATO process requires.

Adoption support

Prompt patterns, training, and usage analytics so teams actually use what gets built.

How we ship it

From prompt to production.

01

Ground it in agency knowledge

Connect the model to the documents, policies, and case data the mission actually runs on, so answers cite a source instead of guessing.

02

Wrap it in retrieval and evaluation

Retrieval-augmented generation for grounding, plus measured accuracy, bias review, and red-teaming that make every output defensible.

03

Put humans at the checkpoints

Agentic workflows execute multi-step tasks, and pause for a person at the steps where judgment and accountability belong.

04

Deploy inside the accredited boundary

Shipped through DevSecOps pipelines into GovCloud and other accredited environments, with the security documentation the ATO expects.

05

Monitor, measure, improve

Behavior, grounding, and usage are watched in production, so drift and misuse surface early and the system keeps earning trust.

The agentic run

Every step logged. One human gate.

An agent does not get a blank check. It retrieves context, drafts, and evaluates on its own, then stops at the human checkpoint before it takes any real-world action, and every step lands in the audit trail.

AGENTIC RUNRETRIEVE → ACT
retrievecontext assembledokDONE
draftanswer generatedokDONE
evaluateaccuracy · biasokDONE
human checkpointreviewer in the loopgatePENDING
actsystem action · loggedokLOGGED
5steps, one audit trail1human gate before any action

Built for the mission in front of you.

Software, data, AI, and cybersecurity built around the outcomes your team owns.

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