■ Safe AI Lab · Private models · Agentic systems
We design, train and deploy private AI models and agentic systems that automate real work. Safety is an engineering requirement in everything we ship: your data stays yours, agents act only within the limits you set, and every action can be audited.
agent: invoice-triage model: private / fine-tuned hosting: on-prem data_egress: none tools: - erp.read - mail.draft - erp.write # gated guardrails: approval: human for writes scope: least privilege audit_log: every step evals: pass before deploy
What we do
From a single automated workflow to a model trained on your own data — scoped to the problem, built to be trusted.
We find the repetitive, rule-heavy work that slows your team down and hand it to agents that operate inside your existing tools — with clear limits on what they can touch.
When a general-purpose model isn't good enough — or can't be allowed to see your data — we train and fine-tune private models for a specific job and deploy them on infrastructure you control.
We configure multi-agent systems and the infrastructure around them — tools, memory, permissions and monitoring — so they stay reliable, predictable and safe in production.
How we build
These rules apply to every system we deliver, whatever its size.
Private deployment by default. Your data is not used to train anyone else's models and doesn't leave the perimeter you define.
Each agent gets only the tools and access its task requires — nothing more.
Consequential or irreversible actions go through a human checkpoint that you configure.
Models and agents are tested against your real scenarios and failure cases before they touch production.
Every decision and action is logged, so you can see what the system did and why.
Why we exist
Every narrow system deployed safely teaches us how to build general ones safely.
Our long-term goal is to help move the world toward safe artificial superintelligence. We believe that path runs through practical work: real systems, real constraints, real accountability.
Each project — a private model, an automated workflow, a hardened agent — is a chance to refine methods for control, evaluation and alignment that scale as capabilities grow.
How a project runs
A clear sequence with a decision point at every stage — you always know what's being built and why.
We map your processes, data and risks, and pick the work where AI pays off.
Architecture, model choice, permissions and success criteria — agreed in writing.
We build the agents, integrations and models, training on your data where needed.
Testing against real scenarios, edge cases and misuse before launch.
Rollout on your infrastructure, monitoring, and ongoing improvement.
Contact
Describe the task or the problem in a few sentences. We'll reply by email to set up a short call and see whether we're a good fit.
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