Katalyze announces $10.5M seed round. Read the press release ->
Book a call
We view every relationship as a partnership.
Speak directly with the senior leadership at Katalyze about how implementing agentic infrastructure can save on costs, increase throughput and empower your scientists and engineers.
Deployed at sites with five of the top
twenty global pharma companies
Turn confusion into clarity, today.
Book a 30-minute demo. We'll walk through a live run, deviation to release record, and map Katalyze to the systems you already have. Most teams are live in weeks.
Deployed at sites with five of the top
twenty global pharma companies
Turn confusion into clarity, today.
Book a 30-minute demo. We'll walk through a live run, deviation to release record, and map Katalyze to the systems you already have. Most teams are live in weeks.
Deployed at sites with five of the top
twenty global pharma companies
Turn confusion into clarity, today.
Book a 30-minute demo. We'll walk through a live run, deviation to release record, and map Katalyze to the systems you already have. Most teams are live in weeks.
FAQ
Your questions answered.
Everything you need to know about working with Katalyze. Still have questions? Schedule a call and we'll walk you through it.
What is Katalyze?
Katalyze is agentic infrastructure for life sciences. It runs the operational work between your data and your decisions: it unifies the systems a pharma operation runs on into one grounded record, then puts expert-designed agents to work on top of it. Your scientists and engineers get back to the work only they can do, and every answer the platform returns traces to its source.
What does Katalyze actually do, day to day?
It takes on the operational drag around the science. Pulling a batch's full history together, investigating a deviation, reconciling a batch record, reviewing lab data, drafting the report. The agents do the assembly and the documentation. Your experts keep the decisions. Work that used to take weeks or months moves in hours.
What does "agentic infrastructure" mean, and how is it different from an AI tool?
An AI tool answers questions in one system. Agentic infrastructure sits underneath all of them. Katalyze connects the systems where operational knowledge lives - MES, LIMS, ERP, documents, even paper and Excel - into a single data layer, then runs agents that do the work itself: monitoring processes, investigating deviations, assembling release records. Every output is anchored to its source, so it holds up in an audit.
Does Katalyze work with the systems we already run?
Yes. It sits across your existing stack, not in place of it, with more than 40 connectors for the cloud, data, lab, and quality systems pharma runs on: MES, Veeva, LIMS, TrackWise, ELN, historians, SAP, and more. Most teams are live in weeks, with no system overhaul and no change to their architecture.
How is this different from a LIMS, a data lake, or a point solution?
A LIMS records lab results. A data lake stores data without giving it meaning. A point tool automates a single task. The Primary Production Record is the layer underneath all of them: an ontology and knowledge graph that holds every batch, lot, deviation, sample, instrument, and specification as one connected, source-anchored record an agent can reason over and a person can verify.
Does Katalyze replace our scientists and engineers?
No. Katalyze absorbs the manual work, not the judgment. The platform takes on the assembly and the documentation; your experts keep every decision. You set where an agent acts and where a person signs. And when the science is yours alone, Agent Studio lets your people build the agents only they could build.
How do people work with the agents?
In plain language. Katalyst, the platform assistant, lets your teams ask questions of the record and put agents to work without writing code, and turns work that used to take weeks into dashboards, reports, and findings published across your organization in hours.
Where does our data live, and how is it protected?
In your environment, under your governance. You control access and permissions, data is encrypted in transit and at rest, and every action against it is recorded in a complete audit trail. Katalyze operates within your data privacy and sovereignty requirements, not around them.
FAQ
Your questions answered.
Everything you need to know about working with Katalyze. Still have questions? Schedule a call and we'll walk you through it.
What is Katalyze?
Katalyze is agentic infrastructure for life sciences. It runs the operational work between your data and your decisions: it unifies the systems a pharma operation runs on into one grounded record, then puts expert-designed agents to work on top of it. Your scientists and engineers get back to the work only they can do, and every answer the platform returns traces to its source.
What does Katalyze actually do, day to day?
It takes on the operational drag around the science. Pulling a batch's full history together, investigating a deviation, reconciling a batch record, reviewing lab data, drafting the report. The agents do the assembly and the documentation. Your experts keep the decisions. Work that used to take weeks or months moves in hours.
What does "agentic infrastructure" mean, and how is it different from an AI tool?
An AI tool answers questions in one system. Agentic infrastructure sits underneath all of them. Katalyze connects the systems where operational knowledge lives - MES, LIMS, ERP, documents, even paper and Excel - into a single data layer, then runs agents that do the work itself: monitoring processes, investigating deviations, assembling release records. Every output is anchored to its source, so it holds up in an audit.
Does Katalyze work with the systems we already run?
Yes. It sits across your existing stack, not in place of it, with more than 40 connectors for the cloud, data, lab, and quality systems pharma runs on: MES, Veeva, LIMS, TrackWise, ELN, historians, SAP, and more. Most teams are live in weeks, with no system overhaul and no change to their architecture.
How is this different from a LIMS, a data lake, or a point solution?
A LIMS records lab results. A data lake stores data without giving it meaning. A point tool automates a single task. The Primary Production Record is the layer underneath all of them: an ontology and knowledge graph that holds every batch, lot, deviation, sample, instrument, and specification as one connected, source-anchored record an agent can reason over and a person can verify.
Does Katalyze replace our scientists and engineers?
No. Katalyze absorbs the manual work, not the judgment. The platform takes on the assembly and the documentation; your experts keep every decision. You set where an agent acts and where a person signs. And when the science is yours alone, Agent Studio lets your people build the agents only they could build.
How do people work with the agents?
In plain language. Katalyst, the platform assistant, lets your teams ask questions of the record and put agents to work without writing code, and turns work that used to take weeks into dashboards, reports, and findings published across your organization in hours.
Where does our data live, and how is it protected?
In your environment, under your governance. You control access and permissions, data is encrypted in transit and at rest, and every action against it is recorded in a complete audit trail. Katalyze operates within your data privacy and sovereignty requirements, not around them.
FAQ
Your questions answered.
Everything you need to know about working with Katalyze. Still have questions? Schedule a call and we'll walk you through it.
What is Katalyze?
Katalyze is agentic infrastructure for life sciences. It runs the operational work between your data and your decisions: it unifies the systems a pharma operation runs on into one grounded record, then puts expert-designed agents to work on top of it. Your scientists and engineers get back to the work only they can do, and every answer the platform returns traces to its source.
What does Katalyze actually do, day to day?
It takes on the operational drag around the science. Pulling a batch's full history together, investigating a deviation, reconciling a batch record, reviewing lab data, drafting the report. The agents do the assembly and the documentation. Your experts keep the decisions. Work that used to take weeks or months moves in hours.
What does "agentic infrastructure" mean, and how is it different from an AI tool?
An AI tool answers questions in one system. Agentic infrastructure sits underneath all of them. Katalyze connects the systems where operational knowledge lives - MES, LIMS, ERP, documents, even paper and Excel - into a single data layer, then runs agents that do the work itself: monitoring processes, investigating deviations, assembling release records. Every output is anchored to its source, so it holds up in an audit.
Does Katalyze work with the systems we already run?
Yes. It sits across your existing stack, not in place of it, with more than 40 connectors for the cloud, data, lab, and quality systems pharma runs on: MES, Veeva, LIMS, TrackWise, ELN, historians, SAP, and more. Most teams are live in weeks, with no system overhaul and no change to their architecture.
How is this different from a LIMS, a data lake, or a point solution?
A LIMS records lab results. A data lake stores data without giving it meaning. A point tool automates a single task. The Primary Production Record is the layer underneath all of them: an ontology and knowledge graph that holds every batch, lot, deviation, sample, instrument, and specification as one connected, source-anchored record an agent can reason over and a person can verify.
Does Katalyze replace our scientists and engineers?
No. Katalyze absorbs the manual work, not the judgment. The platform takes on the assembly and the documentation; your experts keep every decision. You set where an agent acts and where a person signs. And when the science is yours alone, Agent Studio lets your people build the agents only they could build.
How do people work with the agents?
In plain language. Katalyst, the platform assistant, lets your teams ask questions of the record and put agents to work without writing code, and turns work that used to take weeks into dashboards, reports, and findings published across your organization in hours.
Where does our data live, and how is it protected?
In your environment, under your governance. You control access and permissions, data is encrypted in transit and at rest, and every action against it is recorded in a complete audit trail. Katalyze operates within your data privacy and sovereignty requirements, not around them.