OntoCast as a service — document-to-knowledge-graph pipelines without the infrastructure.
The managed version of our engine stack: documents in, a governed knowledge graph out — delivered straight into your graph store, and served to your agents over MCP.
What you get
Managed extraction, end to end
Managed extraction pipeline
Send documents to an API endpoint; get ontology-grounded semantic triples back. Batching, retries and scaling handled for you.
Ontology management
Bring your own ontology or start from ours. Version it, evolve it, and keep every extraction consistent with it.
Delivery to your graph store
Materialize results into Neo4j, ArangoDB, Postgres or a triple store — the same backends our engines support.
API-first
Everything scriptable: submit jobs, stream progress, pull results. Built for pipelines, not dashboards-only workflows.
Governed by default
Read-only by default, hard caps on traversal depth, result size and rate, and a record of every read — enforced before a query reaches the database.
Same engine, hosted
Built on code you can inspect
The platform runs GraFlo and OntoCast — the same code that's on GitHub and PyPI. Evaluate the engines yourself, then let us run them at scale.
Getting started
A 30-day Implementation Sprint
One domain, one set of sources, success criteria agreed in advance — and a working, governed graph at the end. Fixed fee, fixed scope.
Week 1
Ingestion & profiling
Connect your sources, profile the data, draft the model.
Week 2
Schema refinement
Review the contract together — identities, edges, evolution plan.
Week 3
Engine deployment
Materialize into the graph store you already operate.
Week 4
Evaluation
Verify against your success criteria; hand over the contract.
FAQ
Questions we get
What does it cost?+
Pricing will be announced at launch. Early-access partners get preferential terms and direct input into the roadmap.
How is my data handled?+
Your documents are processed for extraction only and are not used to train models. Data-processing agreements are available for early-access partners.
Can I self-host instead?+
Yes — the platform runs the same engines you can deploy yourself today: OntoCast and GraFlo are both open source (Apache-2.0). The platform adds hosting, scaling and management.
When does it launch?+
We are onboarding early-access partners now, ahead of general availability. Join the list below and we’ll keep you posted.
Early access
Request early access
Launch updates and early-access invitations. Unsubscribe anytime.
Request a demo
Tell us about your use case
A short call, a walkthrough on your kind of data, and an honest answer on fit.
Or email us directly: team@growgraph.dev