Operational Intelligence
We build software that models an organisation as a living system, so the people responsible for it can see what is true, understand what a change affects, and act on evidence rather than assertion. We hold frontier AI to the same standard, reconstructing public safety claims so independent reviewers can inspect the evidence behind them.
Canonical operational state, derived from source records rather than assembled by hand.
Consequence traced through the model to the orders, deadlines and exposure it reaches.
Response options that carry their cost, their assumptions and their evidence.
Authorised action, recorded with who decided, on what basis, and what changed.
Our Mission
Most enterprise software can tell you what a document says. Very little of it can tell you what a delayed shipment costs, which commitments it breaks, or who is permitted to decide what happens next. The gap is not intelligence. It is that nothing in the stack holds an authoritative model of the business itself.
We build that model first, and put reasoning on top of it. Dependencies become visible, consequences become traceable, decisions become governable, and actions leave evidence behind them.
Platform
An operational ontology platform and enterprise digital twin. HELIOS holds the canonical model of an operation, traces the consequences of change through it, and governs the decisions taken in response. In active development.
Operational State
Suppliers, components, batches, shipments, production and customer commitments modelled as one connected system with stable identity.
Consequence Tracing
Follow a disruption through the model to the production orders, contractual deadlines and financial exposure it actually touches.
Governed Decisions
Every response option states its cost, its assumptions, its residual risk and the authority required to approve it.
Complete Evidence
Conclusions resolve to the records, relationships and rules that produced them. Decisions remain reconstructable after the fact.
Safety
Independent assurance reconstruction for frontier AI
ARGUS represents an assurance case as claim, argument, evidence, dependency and gap, so the public reasoning behind a safety claim is easier for an independent third party to inspect, challenge and discuss. It does not produce safety scores or certifications.
PROOF-1.1 · GPT-6 ASTRA · UPDATED 9 OCT 2026
UPDATE · 9 OCTOBER 2026 · PROOF-1.1
Five weeks on, none of the nine gaps is publicly resolved.
We re-checked every gap from the 3 September evidence cutoff against the public record on 9 October: the revised system card, UK AISI's blog post and technical report, and two Apollo Research posts. Some links are narrower. None is closed.
- Publicly resolved
- 0
- Publicly resolved
- Partially narrowed
- 3
- Partially narrowed
- More constrained
- 1
- More constrained
- Unchanged
- 5
- Unchanged
Public-evidence link judgements, not safety scores.
Writing
What it takes for software to understand an organisation well enough to be trusted with a decision.
DANGEROUS WORK
The follow-through from 009. Some jobs should feel like progress when they disappear: not because people became obsolete, but because sending a person into radiation, fire, toxic environments or structural collapse stopped being acceptable once machines could go instead.
HUMANOID ROBOTICS
The series takes a body. Why build Optimus-shaped robots instead of TARS? Because stairs, doors, tools and shelves already form an API, and civilisation was built around the human form. The governance problem follows the intelligence into the physical world.
Contact
If you are working on operational truth, enterprise ontology, or governed decision-making, we want to hear from you.