Clinical decisions
Health tech
Second opinions, prior cases, the call that survives review.
AI decision systems
When the basis moves 30 bps in 90 seconds,
you don’t have time to refresh a dashboard.
Zecotok builds AI decision systems for high-stakes operations. Persistent conviction on outlier data, connected to your stack, defensible in the next meeting.
What you'd walk away with
A recommendation you can defend in the next meeting.
A position held with evidence, not hope.
An audit trail the regulator will accept.
A second pair of eyes on every call you make.
Industries
Where coverage gaps become strategic risk.
Trading decisions
Energy
Desks, grid ops, the basis nobody else is on.
Underwriting decisions
Insurance
Claims, exposure, the call you can defend later.
Coverage decisions
Surveillance
Every channel your mission depends on. The record stays in the room.
Why conviction survives
Three steps the engine runs every time evidence arrives.
Step 01
The signal arrives.
An internal observation, a market dislocation, an operations alert — anything that doesn't fit the model's prior. The engine reads it as a question, not an instruction.
Step 02
The evidence gathers.
The engine pulls from your connected sources. It compares the new signal against last quarter's record, the prior position, the team's notes. Each source is weighted and dated.
Step 03
The conviction forms.
The engine writes the belief, dated, with sources, with the assumption that would break it. The human reviews. The engine remembers. Next quarter's prompt starts from a stronger place.
How we work together
Three steps. Then the engine stays for the first disagreement.
First disagreement · in practice
That first disagreement, in practice: a surveillance gap the engine caught while your analysts were still on the prior shift.
Your analysts are drowning in signal. The gaps are where the threats hide. The engine reads every channel the operation depends on, at the tempo your operations require — and surfaces the one that doesn't fit the prior.
01
We map the workflow before we talk technology.
Tell us which decision is slow, expensive, or risky. We sit with your team and walk the actual loop before we touch the engine.
02
We deploy forward, in your environment.
Hands-on, with the people who'll run it. Not a black box handed over. We work in your stack, with your data, behind your controls.
03
We stay through the first decision cycle.
Conviction is built in the first disagreement. We stay until you've held a position the engine disagreed with — and you've seen the gap it caught in your surveillance.
Three decisions, three workflows
Anonymized. Real-shaped.
Clinical
A view held against departmental consensus.
A team held a view against consensus on a high-stakes case. The engine read the prior record, the comparable cohort, and the attending's notes. It returned a position with reasons. The chief reviewed, narrowed the window, approved. The outcome, the override, the record — held in the room.
Commodities
A counterparty line the desk kept declining.
A desk declined the same counterparty twice. On the third pass the spread widened and the desk's read said take. The engine read the prior two declines, the counterparty's recent behavior, and ops' standing risk read. It returned: take, with a size cap and a re-review date. The desk approved. The position unwound inside the window. The specifics stay with the desk.
Supply
A supplier change worth committing to.
A team flagged a cheaper supplier with bounded operational risk. The decision had been on the table for months. The engine read the incident history, the supplier's audit trail, and ops' read. It returned: change, with a parallel-run window and checkpoints. The VP reviewed, tightened one checkpoint, approved. The cutover landed clean. The numbers stay with the team.