— Platform overview →

One graph. Three systems. The same record from bench to release.

The notebook, the sample and test system, the batch records and the quality workflows are one connected record — with the compliance engine, the AI layer and the integration surface underneath all of it.

Underneath all three

One data model, one compliance layer, one integration surface.

A graph-native data model

Every entity is a typed node; every transition is a typed edge — a handoff between systems is an edge between two nodes in one database.

Compliance in the API layer

Hash-chained audit trail, e-signatures on every state transition, role-based access and a validation hub — enforced for every module.

Integration layer

Instrument gateways, REST connectors, QMS and ERP hand-offs, SSO, and a private one-way link for instruments that cannot go online.

AI, search and analytics

An assistant scoped to your data model, structure and sequence search, and BI dashboards over the same records.

A data model you govern

Entity schemas, result schemas, fieldsets, units and ontologies are admin-defined, versioned and change-controlled.

Fully hosted SaaS

One managed, multi-tenant platform — nothing for your team to deploy or run. Every organization's data is isolated on the same shared stack.

Knowledge Graph Browser showing node types and relationships
Live capture · the Knowledge Graph Browser — the lineage is visible, not implied.

See Holonyx on your research-to-release workflow.

A working session with the team that built it — your modality, your compliance regime, your instruments.