Technical Capabilities

Built so a competent engineer can check the work.

What follows describes the capabilities available in the platform. It is not a menu of services, and not every technique belongs on every engagement — the point of listing them is that the choice of tool is made deliberately, on the merits, and can be explained.

The shape of the system

Evidence in, safe action out.

The pipeline runs in one direction and each stage is inspectable: source-faithful evidence becomes identity, mapping and normalization; that becomes deterministic facts and engines; those feed domain intelligence, then AI investigation and judgement, then management intelligence, and only at the end, action.

Two rules govern the whole thing. Exact arithmetic is never left to a language model — money, KPIs, attribution and reconciliation stay deterministic and auditable. And unknown stays unknown: missing data is not silently converted into zero, association is not reported as causation, and a system that cannot answer says so.

Allocation

Four kinds of worker, chosen on the merits.

Deterministic software
Exact calculations, rules, joins, reconciliations, validations, permissions and state changes. If it can be specified precisely, it should not be a model.
Private / local models
High-volume interpretation, extraction, classification, retrieval and investigation, and anything where privacy, latency or unit economics argue for keeping inference in house.
Frontier models
Hard reasoning, synthesis, strategy and novel investigation — the work where a materially better model produces a materially better answer.
People
Genuine ambiguity, policy choices, required approvals, and material actions that reach the outside world and cannot be recalled.
Reliability

Recoverable work runs. Irreversible work stops.

Access to a system is not authority to use it. Internal work that can be rolled back is automated aggressively, protected by tests, backups, health checks, audit logging and an independent recovery path. Anything with a material external consequence — moving money, charging a customer, sending a consequential message, cancelling a contract — stops at a human approval boundary.

For important writes, a success response is not proof that reality changed. The system executes, re-reads the authoritative source, verifies the state, preserves the history, and only then reports the work done.

Model independence

Not built around one vendor.

Models are evaluated on the actual workload — quality, cost, latency, reliability, privacy and operational complexity — rather than on benchmark marketing. Routing is model-agnostic and falls back across providers, so a better model released next year should improve the economics without the operating system needing to be rebuilt.

Capabilities

What is available in the platform.

Everything above is established engineering practice, used deliberately. The architecture we developed on top of these techniques — the systems that make them behave coherently against one company’s real operating record — is documented separately under Proprietary Technology. We are careful not to present a standard method as an invention.