Your data never
leaves the building
Most AI projects die in legal review, because the useful answer requires sending your customers' data to somebody else's API. We build the agents that don't — running on your hardware, inside your network, where the compliance question never comes up.
Remote worldwide · assessments start at a fixed fee · usually answered within a day
“I already run behind a firewall. Yours can too.”
Check the claim before you call us
Everything on this page is shipping in a product you can download and run this afternoon — not a slide deck and not a pilot. On-device inference, encrypted memory, offline voice, screen awareness: install DT Life, pull your network cable out, and watch it keep working. Then decide whether we can build yours.
Agents that stay inside your perimeter
Private agents
An assistant for a team or a role that never sends a byte off-site. For legal, medical, financial and defence work where a cloud API is simply not an option.
On-premise deployment
Your servers, your GPUs, your air gap. Model selection, quantisation and sizing against the hardware you actually have.
Memory & retrieval
Agents that remember correctly over months — the hard part — with storage the user can read, search, correct and delete.
Desktop & workflow agents
Screen awareness, OCR, document handling and drafting, wired into the tools your people already use.
Voice interfaces
Fully offline speech and dictation, for factory floors, vehicles and anywhere a cloud round-trip is too slow or not permitted.
Audits & rescue
An LLM feature that works in the demo and not in production. We find out why, and we measure rather than guess.
Small, measured, and honest about what a model can't do
A week to find out if it's possible
Before any build, a short paid assessment against your real data and your real hardware. You get a written answer — including "don't build this", if that's the answer. Roughly a third of the time, it is.
Measure, don't assume
Small models fail in specific, findable ways. We test against the model you'll actually ship, on the hardware you'll actually run, and report the numbers — not a vendor benchmark.
Gates in code, not prompts
Anything that must be true is enforced in code. A prompt is a request; a validator is a guarantee. That distinction is most of the difference between a demo and a product.
You own it
Source, weights, deployment scripts and documentation, handed over. No runtime dependency on us, and no per-seat rent on your own agent.
Problems your project will meet too
Every row is something DT Life ran into and fixed. None of it is hypothetical, and none of it was obvious in advance.
| Problem | What it takes |
|---|---|
| Small models invent facts confidently | Grounding rules measured against a real corpus, not intuition |
| Agents that act when they shouldn't | A closed verb catalogue and explicit invocation — measured at 100% vs 72% false-fire |
| Context windows that overflow mid-turn | Token budgeting that sheds the right blocks before the engine refuses |
| Memory that fills with noise | Filtering in code before anything reaches the user |
| An 11 GB model pinning a workstation | An idle governor that returns memory and reloads on demand |
| Copyleft licences in a product you sell | A dependency audit before launch, not after the letter arrives |
Tell us what your lawyers said no to
What the agent needs to do, what data it would touch, and where it has to run. If it can't be built the way you need it, we'll tell you that instead of selling you a discovery phase — usually within a day.
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