What is
OpenFoundry?
A platform for building governed, ontology-grounded AI agents on real operational context. It takes fragmented plant and enterprise data — historians, alarms, process knowledge, documents — and structures it into a semantic layer that agents can reason over safely, with every answer traceable back to its source. The architecture is the applied form of the knowledge-graph research: five layers, each one a constraint on what the layer above is allowed to conclude.
What may exist,
and what may connect.
The schema is not documentation — it is enforcement. Each cell in the relation matrix is a connection the editor either permits or refuses to draw, and derived relations are computed from a rule rather than authored by hand.
An agent cannot reason over a relationship the ontology never allowed to exist. That constraint is what makes the answers above it defensible.
Private deployment
Runs inside your own infrastructure. No data leaves your environment. You control the models, the data, and the governance.
Open standards
Built on OWL, RDF, SPARQL, and open LLM architectures. No proprietary lock-in — interoperable with an existing stack.
Explainable by design
Every AI output is traceable to its source context. You can audit, explain, and defend every decision the system supports.
Governance-first
Access controls, audit logs, and approval workflows are built into the architecture from the start — not bolted on later.
Grounded on
operational reality.
OpenFoundry agents don't answer from memory. They query the systems that already run the operation — and cite exactly what they found.
Historian & time-series
Sensor trends, statistics, and normal-range bands with alarm markers overlaid — queried in plain language instead of tag codes.
Operations Studio
The plant as a live mimic — every stream, sensor, and equipment node connected to the knowledge graph, with a live entity inspector one click away.
Process knowledge graph
Equipment, sensors, streams, and control loops connected into a queryable topology — upstream causes and downstream effects, traced automatically.
Engineering documents
SOPs, datasheets, and troubleshooting guides retrieved by meaning, always cited by document title and revision.
Built for the questions
operators actually ask.
OpenFoundry ships with a growing catalogue of governed Skills — reusable, auditable agent capabilities designed to apply across manufacturing, energy and process, construction, and retail operations.
Apollo-1
Apollo-1 is the flagship agent built inside OpenFoundry — grounded in operational context, and built to reason the way a principal engineer would: form a hypothesis, gather evidence, rule out alternatives, and only then conclude.
As a reference deployment, Apollo-1 runs against a real coal-fired boiler — investigating temperature and pressure excursions, tracing root cause across sensors, alarms, and procedure. It is the proof that the architecture holds up outside a paper: the same grounded, governed reasoning, applied to a plant that does not care what the ontology says it should be doing.
Every investigation,
sealed.
OpenFoundry is governance-first. Ontology changes flow through schema validation before they reach an agent. Every investigation — hypotheses, evidence, conclusions, corrective actions — is sealed into a tamper-evident record, so nothing is re-written after the fact.
The operation,
mapped.
OpenFoundry builds a living graph of the operation — every process, system, decision, rule, and data source, connected and queryable in real time.
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See it in your context.
I run walkthroughs for teams evaluating ontology-grounded agents, and I'm interested in pilot deployments where the operational context is genuinely hard.