Provenance Tags

AI-native from first principles.

A demo is easy. A system that ships, scales, and passes audit is the hard part — and the only part worth paying for. Here’s how we get there.

Frontier models, plus the engineering around them.

The model is one ingredient. Production value comes from everything we wrap around it.

01
The agent harness

Agent loops, tool use, orchestration, evals and guardrails around the model. Often the hard part — and the element that actually decides whether a system works.

02
Frontier & local models

Claude, GPT and open models, chosen per task. Plus local EU / open-weight models — self-hosted when data sovereignty or independence matters. No lock-in.

03
Custom software

Full-stack engineering: web, mobile, backend and data.

04
Secure infrastructure

Cloud and containers, CI/CD — or on-prem / EU hosting when required; secrets and observability throughout.

05
Enterprise integrations

Your systems of record, APIs, email and identity.

Discover → Design → Build → Operate.

01
Discover

We map the real problem, the data, and the constraints — technical, regulatory, commercial. Fast, with senior people in the room.

02
Design

Architecture and model selection up front: what runs where, how it’s evaluated, how it fails safely, how it integrates.

03
Build

We ship iteratively with AI throughout our own workflow — code, tests and reviews — so quality goes up as speed does.

04
Operate

We run it: infrastructure, monitoring, evals and model updates. Systems that keep working after launch.

Why a small team ships like a large one.

A1
AI runs our own workflow

We research, architect, write, test and review with frontier models. A small senior team ships at the pace of a large one — and passes audit.

A2
We build with what we sell

The same agent frameworks, MCP tools and multi-agent orchestration we deliver to clients run inside our own delivery pipeline.

A3
Evals & guardrails first

Every system ships with evaluations, guardrails and observability, so it stays correct in production — not just in the demo.

A4
Model-agnostic by design

Claude, GPT, open models — chosen per task and swapped as the frontier moves. No lock-in to a single vendor or model.

Ship, scale — and pass audit.

Our roots are in pharma and cryptography, where “it works on my machine” isn’t good enough. Security, verifiability and auditability are designed in, not bolted on.

Secure by design
Secrets, isolation, least-privilege
Verifiable
On-chain records where trust matters
Evaluated
Guardrails + evals in every system
Auditable
Traceable decisions and data lineage

Have a hard problem for AI to solve?

Whether it’s an enterprise AI system, an autonomous agent platform, or a bespoke deep-tech build — we design, build, and operate it.

Email us

Our intake agent runs on the same stack we ship to clients — it scopes your project and hands the brief to a senior engineer.