The ontology layer for industries where hallucination is not an option.
Where conventional enterprise software treats data as rows and documents, MITHRIL treats it as a structured world — every asset, process, regulation, relationship, and operational state declared in a single unified ontology that frontier AI models can query, cite, and reason over with precision.
Most enterprise AI systems treat your business as text to be retrieved and rephrased. MITHRIL treats it as a world to be reasoned about — physical assets, operational states, regulatory obligations, and the relationships between them, declared once and queryable forever. The result is an AI layer that doesn't guess. It computes against the same operational reality your engineers and operators already work in.
Every answer is anchored to a node in the ontology — a tag, a record, a sensor stream, a regulation clause. There is no "from the model's general knowledge." If MITHRIL says it, MITHRIL can point at the row, the document, the timestamp.
Reasoning is recorded, not just results. The data pulled, the prompt issued, the model that answered, the math performed — every step is reproducible. An auditor can replay the answer. A regulator can verify it. A successor operator can trust it.
MITHRIL proposes. Operators approve. No write reaches a system of record — no work order, no dispatch instruction, no batch release, no procurement — without an explicit human signature on the proposed action. Agentic, never autonomous.
MITHRIL is built for the industries where a wrong answer carries weight — physical, financial, regulatory, human. Six ontology packs ship today, each modeling the operational world of its theater down to the asset, the obligation, and the dependency.
Frame 14:32 · T01
61.4°N · 1.8°E · North Sea
Maps the interdependencies between well integrity, maintenance schedules, regulatory compliance, and crew logistics across upstream and offshore platforms.
Frame 09:18 · T02
22.7°S · 117.8°E · Pilbara
Encodes orebody models, extraction sequences, environmental obligations, and downstream supply chains into one queryable structure across open-pit and underground operations.
Frame 03:42 · T03
47.5°N · 7.5°E · Basel
Holds the declarative structure of batch records, quality checkpoints, supply chain provenance, and compliance obligations across GMP and regulatory regimes.
Frame 22:07 · T04
34.9°N · 117.8°W · Edwards
Encodes the relationships between mission readiness, parts traceability, airworthiness directives, and program constraints across platforms and sustainment.
Frame 14:32 · T05
40.4°N · 3.7°W · Iberian Grid
Models generation assets, grid topology, dispatch protocols, and regulatory exposure in real time — across transmission, distribution, and wholesale market participation.
Frame 18:55 · T06
1.2°N · 103.8°E · Singapore Strait
Vessel state, route plans, port calls, cargo manifests, charter terms, and regulatory exposure modeled as one ontology spanning the fleet, the voyage, and the cargo.
A real query against a real grid ontology, replayed below. MITHRIL doesn't search the web — it reasons over your live data, and tells you what to do. Every answer is reproducible: the data, the prompt, the model, the math.
Your operational world — assets, processes, obligations, relationships — is encoded once into the MITHRIL ontology. Pulled from your existing systems of record, normalized, and kept in sync. The ontology becomes the single source of operational truth.
Frontier models query the ontology — never the open web, never the model's general memory. Every answer carries the source nodes, the reasoning trace, and the exact prompt-and-model fingerprint that produced it.
Proposed actions queue for explicit human sign-off before any write touches a system of record. The operator stays in command. MITHRIL is the strongest possible co-pilot, never the captain.
Onboarding by referral & mandate · Console issued per theater