Retrieval-augmented agents
Agents grounded in your knowledge — documents, databases, and policies — so answers are accurate, current, and cited.


An impressive prototype is easy. An agent your team can trust with real customers, real data, and real consequences is hard. That gap — between a clever demo and a scalable system — is exactly where our strategy, design, and engineering disciplines converge.
We start with why: the workflow you’re trying to change, the cost savings of automation, and how product owners can stay informed of agent decisions. Then we engineer the agent around it — retrieval of your data, tool use to integrate with your systems, guardrails that catch regressions, all with high-visibility introspection tools so there's never any confusion about why agents are making the choices they make.

We’re a Charlottesville-based team that travels the United States speaking, demoing, and implementing agents for businesses. We have shipped production software for higher-education, government, and venture-backed startups for over a decade.
Agents grounded in your knowledge — documents, databases, and policies — so answers are accurate, current, and cited.
Agents that don’t just chat, but take action: calling your APIs, updating records, and orchestrating multi-step workflows.
Composing larger systems from focused, domain-specific agents that hand off to one another — so complex work gets decomposed, not crammed into one overloaded prompt.
Test suites, evals, and safety rails so you know how the agent behaves before your customers do — and when it regresses.
Interfaces that keep a person in control of high-stakes decisions, with the agent handling the toil.
Monitoring, cost controls, and infrastructure built to run reliably and affordably at scale.
The hard part of an AI agent isn’t the prompt — it’s everything around it: the data pipeline, the integrations, the evaluation, and the product design that makes it usable. That’s software engineering, and it’s what we’ve done since long before LLMs were fashionable.
Serving Charlottesville, Central Virginia, Richmond, and the greater Washington, D.C. area, Braid partners with organizations that need AI that actually works — not a demo that impresses for a week and breaks in month two.