Our mission: safe ASI — superintelligence that remains under human control
■ Safe AI Lab · Private models · Agentic systems
We design, train and deploy private AI models and agentic systems that take real work off your team — documents, support, back-office — while every model, every byte of data and every decision stays under your control.
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.
Your team loses hours to work a machine should do. We hand it to agents that live inside your existing tools, act strictly within the limits you set, and hand over to a human whenever it truly matters.
When a general-purpose model isn't good enough — or can't be allowed to see your data — we train a private model for your exact task and run it on your infrastructure. Sharper results, and nothing ever leaves your perimeter.
Already running AI agents, or just planning to? We design the architecture — tools, memory, permissions, monitoring — and stress-test it, so the system stays predictable in production instead of becoming tomorrow's incident.
Security teams drown in alerts. We build models and agents that detect anomalies, triage threats and take over the first response — while sensitive security data never leaves your perimeter.
We turn your historical data into forecasts you can act on — demand, churn, risk, prices — delivered as private models and clear reports, not black boxes.
How we build
These five rules apply to every system we ship — so you can hand AI real responsibility without losing control.
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 safe artificial superintelligence. We believe it won't be built in a lab alone: it takes shape the way all safety-critical engineering does — one deployed, accountable system at a time.
Each project — automation, a private model, a hardened agent, a security or forecasting system — sharpens methods of control, evaluation and alignment that scale as capabilities grow.
How a project runs
A clear sequence with a checkpoint at every stage: you always know what is being built, what it costs and why.
We map your processes, data and risks, and pick the work where AI pays off.
Architecture, model choice, access rights and success criteria — all fixed 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 in a few sentences. We'll reply by email, set up a short call and tell you honestly whether we'll take the project — and why.
Write directly: ceo@sailab.si
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