Questions we hear most.

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.

Yes. Paper batch records are where teams typically start with Document Intelligence. It reads the printed form, the handwritten values, the corrections and the margin notes on every page and turns them into structured data in your schema, each value linked to the page it was read from, with anything it is unsure of flagged for your experts before the data moves on.

When Document Intelligence is the primary purchase, teams commonly begin with paper batch records, certificates of analysis, PDFs, scans and records received from suppliers, CROs, CDMOs and labs. Within an Agentic Solution, the document set is selected for the operational job and may include recipes, process records, deviation records, SOPs and transfer documentation.

Katalyze can extract information from text, tables, symbols, handwritten fields and margin notes. Performance depends on the document type and image quality, so extracted information can be routed through defined checks and expert review before downstream use.

Yes. Extracted information remains linked to its source so reviewers can inspect the underlying evidence and resolve flagged exceptions.

No. Customer systems remain the source of truth. Katalyze can deliver structured outputs to configured destinations or combine document information with relevant system data and external scientific sources through the Context Layer.

It can serve either role. Teams can begin with Document Intelligence to structure and review high-value records such as batch records and certificates of analysis. It also provides document-derived context within Agentic Solutions such as Deviation Investigation, Yield Optimization, Raw Material Characterization and Tech Transfer.

Document Intelligence extracts and contextualizes information from operational documents. The Context Layer combines that information with data brought in through Connectors and organizes it using a customer-specific Ontology and a Knowledge Graph of relationships.

Extracted and contextualized documents, brought in by Document Intelligence; relevant system data, scientific datasets, research publications and other academic sources, brought in by Connectors; organized by a customer-specific Ontology and a Knowledge Graph, with lineage to every source.

Through the Ontology and the Knowledge Graph. A customer-specific Ontology defines the concepts, terminology and structure of your operation; a Knowledge Graph built on it maps the relationships across the connected information and keeps pointers back to the original documents and systems of record. It is the connected, source-grounded view agents and people work on.

No. Katalyze brings domain expertise and reusable patterns, and creates and tunes the Ontology and the Knowledge Graph around your operation and the first job. The vocabulary is yours.

No. The Context Layer connects without data migration; customer systems remain the source of truth, and results stay linked to their original sources.

Yes. Through App Studio, teams search and question connected operational knowledge in plain language, and the answers keep their sources. The agent your teams talk to across the platform is Katalyze.

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 / Microsoft Graph, SFTP, Amazon S3, Amazon Redshift, Snowflake, SAP, PostgreSQL, Neo4j, REST API / webhooks, Cytiva and BASF, and the scientific sources PubMed and ScienceDirect. Document Intelligence covers the paper records, PDFs and spreadsheets no system holds.

No. A connector reads, moves or publishes; nothing is migrated. The Context Layer keeps results linked to their original sources without requiring data migration.

Document Intelligence extracts and contextualizes information from operational documents: batch records, certificates of analysis and the other records that arrive as paper, scans and PDFs. Connectors bring in relevant system data, scientific datasets, research publications and other academic sources. Together, these inputs feed the Context Layer.

Access is controlled and each run is recorded. Every action has an owner, and your experts retain review and approval.

Request a connector: name the system and what it holds, and we will say what is possible today. The directory lists only the connectors Katalyze claims; a planned one is marked Planned.

An Agentic Solution is Katalyze performing a defined operational job through a governed workflow: a packaged combination of agent behavior, your operation's schema, Connectors, controls and the experience your teams use. Its agents establish ground truth, investigate and execute, and every action has an owner.

Experts direct the work and retain review and approval authority. Agents assemble evidence, generate and test hypotheses, and draft evidence-backed documents and action plans within defined workflows. Experts can inspect the sources, challenge the findings, and decide how to act on them.

Four: Yield Optimization, Deviation Investigation, Raw Material Characterization and Tech Transfer. Every solution runs on the same platform, and Document Intelligence is the first job for teams that do not start with a solution.

Each new solution builds on the same platform and Context Layer. Teams can reuse and expand context established for an earlier job as they connect the information needed for the next one.

Every action has an owner: access is controlled, each run is recorded, and your scientists retain review and approval authority. Teams can inspect how a result was produced, verify it against the evidence, and incorporate it into validated processes.