Katalyze for Enterprise AI Leaders
Make the next AI use case build on the first.
The context built for one manufacturing question can support the next. Katalyze combines reusable operational knowledge with governed Agentic Solutions, helping leaders expand from a useful first deployment to further work across the operation.
- Document Intelligencethe first jobBatch records · Feeding records · Certificates of analysis0
- Deviation InvestigationFeeding records · Batch recordsBatches · Deviations · Harvest results · Master batch record2
- Yield OptimizationMaster batch record · Batches · Harvest resultsMaterials and lots · Feed timing · Literature5
- Raw Material CharacterizationMaterials and lots · Certificates of analysisSuppliers · Composition data · Material requirements7
one Context Layer · four jobs · every run recorded
Where your team's time goes.
Finding records, reconciling details, and writing up findings leave less time for the next technical question.
Explore Document Intelligence- Choosing a useful starting point
- A deployment needs a specific operational job and a clear way to judge its usefulness.
- Rebuilding context for each use case
- Separate projects can repeat the work of connecting sources and interpreting their meaning.
- Moving from an answer to usable work
- Teams need findings, draft documents, and plans they can assess and use in operational work.
- Choosing where to expand
- Leaders assess the first deployment and choose where its context can support the next priority.
Put the knowledge in your systems to work.
Connect the information the job needs. Your existing systems remain the source of truth.
Explore connectors- SharePointDocumentsAvailable
- Veeva VaultDocumentsAvailable
- SAPEnterprise systemsAvailable
- SnowflakeData platformsAvailable
- Outlook / Microsoft GraphDocumentsAvailable
- SFTPFile storesAvailable
- PubMedScientific sourcesAvailable
- ScienceDirectScientific sourcesAvailable
Where Katalyze can support your team.
Connect the knowledge each solution needs, then use it to investigate questions and prepare work for review.
Explore all solutions- 01
Deviation Investigation
Start with a defined investigation that brings the relevant records, hypotheses, and review responsibilities together.
- reuses feeding records · batch records
- adds batches · deviations · harvest results
- Revised · J. M. · run recorded
- 02
Yield Optimization
Use connected process and material context to support the next question about manufacturing performance.
- reuses master batch record · batches · harvest results
- adds lots · feed timing · literature
- 12 batches · BR-0415 the comparison
- 03
Raw Material Characterization
Extend operational context to examine material and supplier differences that matter to the process.
- reuses lots · certificates
- adds suppliers · composition data · requirements
- lot 2231-B · data requested
- 04
Tech Transfer
Use established process knowledge and evidence to help prepare transfer documentation for another site or program.
- reuses master batch record · batches · feeding records
- adds Site B · its questions
- Draft 1 · for review · J. M.
Give your team time to work through the hard questions.
Katalyze investigates evidence and drafts documents. Your experts refine the work and decide what follows.
How Agentic Solutions work- Your Enterprise AI team
Your leaders choose the first job
Select an operational need, the people who own it, and how the team will assess the result.
Start with one job - Katalyze
Katalyze establishes the context
Connect relevant sources and model the operation through a customer-specific Ontology and Knowledge Graph.
customer-specific · source-grounded - Katalyze
Katalyze performs the defined work
Use governed agents to investigate evidence and draft documents or action plans within the selected solution.
run 2026-03-18-0412 · 5 actions - Your Enterprise AI team
Your experts assess the result
Assess the evidence, the expert review effort, and how the result helps the operational team move forward.
Revised · J. M. · one comment - Katalyze
Katalyze extends the shared context
Reuse and expand the established Context Layer for additional solutions and their information needs.
4 jobs · 13 things connected · 7 reused - Your Enterprise AI team
Your leaders choose where to expand
Use what the deployment demonstrates to set the next scope, owners, and operational priorities.
review records · monitor activity · ask in plain language
Customer adoption and results in pharmaceutical operations.
What really separated Katalyze was that it was built for an enterprise like Sanofi from day one. The ontology layer was already in place. Data ingestion into the intelligence layer was solved. They had the security, the governance, the deployment story, everything we needed to scale this across R&D, not just run a pilot in one corner of the organization.
Sabya DGlobal Head (VP) R&D Data Platforms & Products- Of the pharma top 20 run Katalyze
- 5
- Doses delivered with Katalyze
- 10M
- Tenured scientists and engineers behind the agents
- 100+
How Katalyze fits your team's work.
Explore the records, responsibilities, and review process behind the work.
More time for the work that moves medicine.
Bring the job you want to move forward and the records you'd like connected. Thirty minutes on how Katalyze would do the work, and where your experts come in.
Or, just a quick chat to run through the product, your call.
