Applied AI consultancy
tbuild designs and ships agentic software — voice agents, internal tools, and the pipelines underneath them. We do the thinking and the building, and we hand you something that runs.
Running today
Not concepts or slideware. These run in production right now — two you can open, two we set up privately.
Private AI setup
Answers your clinic's calls end to end — greets, understands the caller, books, routes and escalates. Runs on a private voice stack, so it can live on your own hardware.
Live
Finds companies that match your ICP, enriches them from the open web, scores fit, and drafts the first outreach — with a research trail you can actually audit.
Live
A voice agent that answers from your documents and nothing else. It says “I don't know” instead of guessing, and it runs fully on-device — no data leaves your network.
Private AI setup
We stand up agent infrastructure inside your perimeter: models, data, retrieval and access controls stay on your side of the wall, and you own the hardware and the bill.
What we do
Systems that take actions, not just answer questions: they call your tools, read your data, and finish the job — with a human able to watch every step.
The consoles, pipelines and integrations that delete a recurring manual process. Written to be maintained and handed over, not to lock you in.
Private, on-device and cost-controlled deployments — voice stacks and models running inside your perimeter, on hardware you own.
Capabilities
Each one comes out of work we've already done for ourselves. If your problem sits in one of these boxes, we've probably hit it before.
01
Real-time voice that answers the phone, holds a conversation and takes the action at the end of it.
02
Assistants that answer strictly from your corpus — and refuse when the corpus has no answer.
03
Find the right accounts, understand them, and open the conversation with something worth reading.
04
The tool your operations team keeps asking for, instead of the spreadsheet-and-email workaround.
05
Several agents, clear roles, one outcome — with streaming progress a human can watch and stop.
06
Messy inputs in, structured verified outputs out — the unglamorous layer every AI product needs.
07
Triage, draft, and resolve — with the agent doing the reading and your team doing the deciding.
08
The same capability with none of the data leaving your building — for regulated and cautious buyers.
09
The part that keeps it working after launch: what it did, what it cost, and whether it got worse.
10
The systems you already run, finally talking to each other — and to the new agents.
How we work
01
We find where the real time and money go, and whether an agent is the right answer at all.
02
A narrow working system against your data, fast — so you judge capability, not slides.
03
Auth, evals, observability, failure modes and cost limits. This is where demos become products.
04
Deployed, monitored and documented, with your team able to operate it and us still on the line.
Who you'd work with
Co-founder & Technical Lead
Builds the systems: agentic pipelines, voice infrastructure, and typed backends in Go, TypeScript, Python and Rust.
LinkedInCo-founder, Product & Marketing Lead
Turns research into products and products into demand — what gets built, for whom, and how it reaches them.
LinkedInTell us what's slow, manual, or impossible with your current stack. We'll tell you honestly whether we can build it.