Turn disconnected knowledge into governed, evidence-based action.

Katalyze is the agentic infrastructure for life sciences. It connects operational knowledge across documents, systems and scientific sources, then applies governed Agentic Solutions to defined jobs. Your scientists and engineers guide the work and use traceable findings to investigate questions and improve processes.

It takes on the assembly work around the science: pulling a batch's records together, investigating a deviation, characterizing a raw material, gathering the evidence for a tech transfer, drafting the documents and action plans your experts review. Document Intelligence turns records into source-linked data, the Context Layer connects them, and an Agentic Solution performs the job through a governed workflow. Your experts review, decide and approve.

An AI tool answers questions inside one system. Agentic infrastructure sits underneath the systems an operation runs on. Katalyze connects the documents and system data where operational knowledge lives into a Context Layer, a customer-specific Ontology and Knowledge Graph that keep every value linked to its source, then runs Agentic Solutions that do defined work on that context: establishing ground truth, investigating with evidence and drafting evidence-backed documents or action plans for expert review. Every result traces back to the record it came from.

Yes. Katalyze connects to your existing systems without migrating data; they stay where they are and remain the source of truth. Connectors today cover SharePoint, Veeva Vault, Outlook and Microsoft Graph, SFTP, Amazon S3, Amazon Redshift, Snowflake, SAP, PostgreSQL, Neo4j, REST APIs and webhooks, and scientific sources such as PubMed and ScienceDirect. Document Intelligence covers the paper records, PDFs and spreadsheets no system holds.

A LIMS records lab results. A data lake stores data without giving it meaning. A point tool automates one task. The Context Layer is the connected, source-grounded view underneath: a customer-specific Ontology defines how your operation names and relates its concepts, and a Knowledge Graph built on it maps batches, lots, deviations, samples, instruments and specifications back to the documents and systems they came from. Agentic Solutions work on that view, and a person can verify every result against its source.

No. Katalyze takes on the assembly and the documentation, not the judgment, and gives your experts more of their time for the questions that need them. Access is controlled, every run is recorded, and your scientists retain review and approval authority over every decision. Where a team needs its own view of the work, App Studio lets them build dashboards and applications on the same connected information.

In plain language. Katalyze is the agent your teams talk to across the platform: they ask questions of the connected record, put an Agentic Solution to work on a defined job, and review what it did, with every answer linked to its sources. App Studio turns the same information into dashboards and applications for the people who need them.

Your systems stay where they are and remain the source of truth; Katalyze connects to them without migrating data. Access is controlled, data is encrypted in transit and at rest, and every action is recorded in an execution record your quality team can inspect. The platform is built for GxP environments and supports validated GxP processes, and it surfaces missing or uncertain information instead of letting an unsupported conclusion pass.