The runtime
for governed
decision
logic.

Theseus is a deterministic execution platform for teams running operationally sensitive logic in production. Every output is traceable. Every change is governed. Every execution is replayable.

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See how it works
Theseus platform architecture diagram

2–6 weeks

To push a single logic change to production
Most of it is coordination, not engineering.

3–5 teams

Touched per deployment
Dev, quant, risk, ops, compliance. All manually coordinated.

Hours to days

To reconstruct what happened after an incident
Theseus replays it in minutes.

$460M+

Lost in 45 minutes by Knight Capital
Untested code pushed to production. No rollback.

A runtime, not a wrapper.

Theseus ingests live inputs, executes versioned logic modules in a deterministic runtime, and produces fully traceable outputs. Lineage, replay, and governed change control are structural; not bolted on after the fact. No hidden state. No silent divergence. No audit gaps.

Theseus runtime inspection and lineage view
Deterministic execution

Same inputs. Same outputs. Always.

The runtime enforces determinism at the execution layer. Not by convention. Not by testing discipline. Structurally. Identical inputs produce identical outputs regardless of environment, timing, or concurrent load. When something goes wrong, you know exactly what ran and why.

Deterministic execution and replayability
Replayability and lineage

Replay any execution. Trace any output to its source.any output to its source.

Every output carries the full record of what produced it: the inputs, the logic version, and the trigger. Incident reconstruction that used to take days of manual log archaeology now takes minutes. Audit evidence is always available, always complete, and never reconstructed from memory.

The problem

Production logic is fragile. Change is dangerous. Audits are archaeology.

The decision logic running real-time operations in most organisations is scattered across scripts, services, spreadsheets, and the heads of specialist engineers. It works until it does not. Changes take weeks. They touch three to five teams. They leave no reliable audit trail. When something breaks in production, reconstructing what happened means pulling logs, cross-referencing spreadsheets, and interviewing people who were on shift. This is not a tooling problem. It is a runtime problem. The logic itself has no home, no versioning, no lineage, and no safe way to change it under pressure.

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