Enterprise AI
Engineering

We build AI agents to fit your enterprise - each verified, constrained, and governed.

What We Do

No two enterprises work alike, and their edge is in the difference. We craft and deploy each agent to fit yours: your needs and workflows, your systems and data, your culture and ways of working. We pair engineering depth with technology law expertise, so every agent is built to be verified, constrained, and governed.

Observe

  • Checkpoints
  • Logs
  • Traces
  • Metrics
  • Tokens
  • Errors
  • Costs
  1. Ingest

    Documents, APIs, memory

  2. Plan

    Route, decompose & strategize

  3. Reason

    Think, analyze, decide

  4. Execute

    Tools, APIs, code

  5. Verify

    Guardrails & validation

  1. Feedback

    Runtime outputs

  2. Improvement

    Prompts, models, tools

  3. Evals

    Release gate

  • Runtime
  • Continuous improvement

The continuous improvement line leaves the runtime line at Verify and can only return to it, at Plan, through the evals release gate.

Illustrative run: an AI agent reviews 68 supplier contracts against a playbook. It reads every contract, plans three workstreams and maps 1,240 clauses, each cited to its source. A policy check holds four non-standard terms for legal counsel, who reviews them while an audit trail records every step. Outcome: 64 cleared - 4 routed to counsel, signed off by counsel.

Example: contract review agent - synthetic data

Without evals, it's still an experiment.

Many agent projects are built without evals - in the dark, with no way to spot regressions or prove quality. Every agent we build ships with its own: your real tasks, turned into eval cases that measure accuracy, robustness and cost before launch, and check every change after it.

Eval suite - customer claims agent 240/240 passed

Accuracy

Robustness 14 regressions caught 14 regressions caught and fixed

Cost

Candidate Release gate
95% required
Blocked at 94%14 regressions Candidate + fix Production
Illustrative eval run

Open Source

We only publish tools we use ourselves and can recommend to others. Each reflects how we build - verified, constrained, governed - and the code is open for anyone to inspect.

ContextGem

Extract structured data and insights from documents using LLMs and decision models.

downloads/month
12k
GitHub stars
2k+
Tool of the Week DevHunt
#2
  • No prompts to write
  • Typed, validated output
  • The right model per question
Copied to clipboard GitHub Docs
extract.py
doc = llm.extract_all(doc)
✓ 3 anomalies extracted with references

§3.4 5-year auto-renewal

§5.2 Unilateral price changes

§9.2 Uncapped liability

Verified. Every extracted fact is traced back to its source.

tethered

Runtime network egress control for Python.

downloads/month
6.1k
µs added per connect call
25
  • One function call
  • Supply chain defense
  • AI agent guardrails
Copied to clipboard GitHub Docs
main.py
tethered.activate(allow=["*.stripe.com", "db.internal"])
✓ Unauthorized egress blocked
api.stripe.com allowed
db.internal allowed
unknown-host.net blocked
Constrained. An application can only reach the hosts it is allowed to - this site runs under it too.

licenseal

Fast cross-ecosystem dependency license compatibility checker.

downloads/month
529
Claude Code skill
included
  • A verdict, not a list
  • Transitive across 10 ecosystems
  • No dependency installs
Copied to clipboard GitHub Docs
terminal
uvx licenseal check
✓ 4 dependencies checked, 1 incompatible
app MIT
client MIT ✓ compatible
transport Apache-2.0 ✓ compatible
certs GPL-3.0 ✕ incompatible
parser BSD-3-Clause ✓ compatible
Governed. Every dependency's license is checked before release.

omerta

Catch .env secrets leaking into git.

downloads/month
0
pre-commit hook
included
  • Your own values, not lookalikes
  • Staged, tracked or in the history
  • Offline, never printed
Copied to clipboard GitHub
terminal
git commit
✓ Commit stopped, the key never printed
.env OPENAI_API_KEY=
client.py
OPENAI_API_KEY
Governed. Every commit is checked for the secrets in the project's env files.

Trusted By

Client work and the results clients report.

Christiania Stillas AS

Christiania Stillas AS

2025-2026 · Scaffolding business · Oslo, Norway

Document intelligence platform

A multi-agent system of long-horizon AI agents, verified with custom evals.

Invoice Attachment Generation
  • Large volumes of project files
  • Billing calculations
  • Multiple scaffolding project types
  • Deterministic tools
  • Accuracy safeguards
Project Q&A
  • Reasoning over project documentation
  • Cited responses

“The solution is now saving 80% of the time spent on invoice attachment generation.”

- Rune Larsen, Co-founder & HSE Leader at Christiania Stillas AS
Fuxia Oy

Fuxia Oy

2024 · Legal technology · Finland

AI contract review and redlining platform with a Microsoft Word add-in

Our founder Sergii Shcherbak served as the main AI engineer.

“Sergii is an outstanding developer - exceptionally fast, highly skilled, and committed to writing high-quality code.”

- Henri Pohjalainen, Co-founder & CEO, Fuxia Oy (2024)

Let's Build Together

Tell us about your most complex, repetitive, and time-consuming task. That is where we start.

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