Katalyze announces 10.5M seed round. Read the press release ->

Agentic Infrastructure for Life Sciences

Katalyze runs the operational work between your data
and your decisions

So your scientists and engineers get back to the work only they can do. Every source unified, every agent grounded in your data, every answer traceable to its source.

What Changes

A more efficient future
to unlock.

Measured at sites inside five of the top twenty global pharma companies, helping deliver over 10 million doses to patients.

About Katalyze

Accelerating the path from science to medicine.

Katalyze accelerates the science that becomes the world's medicine, by freeing scientists and engineers from operational drag.

About Katalyze

Accelerating the path from science to medicine.

Katalyze accelerates the science that becomes the world's medicine, by freeing scientists and engineers from operational drag.

The Foundation

Every source, one place to work from.

Upload a CoA or a stability file, or connect the systems you already run. Everything lands in one input directory, where Katalyze extracts the data, normalizes it, and unifies it into the Operational Data Layer.

Every relationship is linked to the Primary Production Record: the ontology and knowledge graph connecting your specs, SOPs, and batches, with every answer anchored to its source. The picture you used to assemble by hand is already built when you arrive.

All Your Sources

All Your Sources

Katalyze deploys into the infrastructure you already have, with no changes to your existing architecture. 40+ built-in connectors, integrated in weeks, not months.

One Fluid Layer

An ontology and knowledge graph connecting your specs, SOPs, and batches, along with every relationship, with every answer anchored to its source.

Your Agents

A 24/7 team of AI experts hired for the difficult work.

Expert-designed agents, each built for one job and grounded in your data. They profile a run, surface what matters, and frame it as a hypothesis to test, not an instruction to act, handing your experts a head start instead of a black box.

Point one at a fermentation batch and it reads feed rates, dissolved oxygen, pH, temperature, vessel weight, and the production signal across the full run. Each agent returns its findings as a dashboard or a report, not just a chat reply. Together, they are the Katalyze Agent Catalog: twenty years of MSAT, ready on day one.

Data Explorer

I analyze process runs. I profile the data, flag phase transitions and off-trends with values and timing, and frame findings as hypotheses to test, not instructions to act.

Process Optimizer

I look for what drives yield. I rank the factors, estimate the gain from moving each, and flag the change likeliest to pay off.

Fault Detector

I catch faults as a run unfolds. I find the moment it breaks from normal, isolate the mechanism, and point to the likeliest source.

Deviation Investigator

I work OOS and deviation cases. I rebuild the record, weigh material, machine, method and measure, and land on the likeliest root cause and its CAPAs.

Process Monitor

I keep a process honest. I check each point against its control limits, tell real drift from noise, and call whether it's in control and capable.

Want to join the team building Katalyze?

3 open roles

We're always looking for talented people who want to help businesses cut through AI overwhelm and build systems that work.

Who We Are

Designed by veteran experts.

Katalyze was engineered by technology and industry leaders in collaboration with a community of over a hundred tenured scientists who have actually done the work at companies such as Sanofi, Pfizer, and Lilly.

Reza Farahani

Co-Founder, CEO

Shreyas Becker

Co-Founder, COO

Hannes Bretschneider

Chief AI Officer

Matt Cruz

Founding Engineer

Want to be part of the team?

11 open roles

We're always looking for talented people who want to help businesses cut through AI overwhelm and build systems that work.

Who We Are

Designed by veteran experts.

Katalyze was engineered by technology and industry leaders in collaboration with a community of over a hundred tenured scientists who have actually done the work at companies such as Sanofi, Pfizer, and Lilly.

Reza Farahani

Co-Founder, CEO

Shreyas Becker

Co-Founder, COO

Hannes Bretschneider

Chief AI Officer

Matt Cruz

Founding Engineer

Want to be part of the team?

11 open roles

We're always looking for talented people who want to help businesses cut through AI overwhelm and build systems that work.

Features

The agentic operating system.

Integrated into your existing systems in days instead of months, so that scientists and engineers can speak in plain language, trust their findings, and build agents only they can build.

Build Your Own Agents

Ask in Plain Language

Findings You Can Trust

Fits Your Existing Stack

Build the Agents Only You Can

Every plant and lab has problems no vendor will ever build for. Agent Studio lets your own experts compose new ones, on the same grounded substrate the Catalog runs on, with the same auditability and the same domain priors.

Speak with the Team About Agent Studio

Find by meaning, not keywords.

Semantic search reads across your specs, SOPs, reports, and batch records and answers in plain language. Then keep the conversation going. Autonomous drafting, data extraction, and document audit work the same way.

Test Out the Sandbox

Insights with the numbers behind them.

Katalyze builds a living view of every raw material and characteristic, compares each result against its own history, and labels its source, specification, and test method. When a value drifts out of range, it is flagged. When a pattern affects yield, it is surfaced for review.

Learn More About the Primary Production Record

40+ built-in connectors. Weeks, not months.

Katalyze deploys into the infrastructure you already have, with no changes to your existing architecture. SAP, Snowflake, AWS, Azure, Veeva, Sartorius, Eppendorf, Siemens, PI historian, SharePoint, and more. Wherever your data lives, from integration to unstructured paper and excel, we meet it there.

Schedule an Integration Call

Build Your Own Agents

01

Ask in Plain Language

02

Findings You Can Trust

03

Fits Your Existing Stack

04

Build the Agents Only You Can

Every plant and lab has problems no vendor will ever build for. Agent Studio lets your own experts compose new ones, on the same grounded substrate the Catalog runs on, with the same auditability and the same domain priors.

Speak with the Team About Agent Studio

Find by meaning, not keywords.

Semantic search reads across your specs, SOPs, reports, and batch records and answers in plain language. Then keep the conversation going. Autonomous drafting, data extraction, and document audit work the same way.

Test Out the Sandbox

Insights with the numbers behind them.

Katalyze builds a living view of every raw material and characteristic, compares each result against its own history, and labels its source, specification, and test method. When a value drifts out of range, it is flagged. When a pattern affects yield, it is surfaced for review.

Learn More About the Primary Production Record

40+ built-in connectors. Weeks, not months.

Katalyze deploys into the infrastructure you already have, with no changes to your existing architecture. SAP, Snowflake, AWS, Azure, Veeva, Sartorius, Eppendorf, Siemens, PI historian, SharePoint, and more. Wherever your data lives, from integration to unstructured paper and excel, we meet it there.

Schedule an Integration Call

Build Your Own Agents

01

Ask in Plain Language

02

Findings You Can Trust

03

Fits Your Existing Stack

04

Build the Agents Only You Can

Every plant and lab has problems no vendor will ever build for. Agent Studio lets your own experts compose new ones, on the same grounded substrate the Catalog runs on, with the same auditability and the same domain priors.

Speak with the Team About Agent Studio

Find by meaning, not keywords.

Semantic search reads across your specs, SOPs, reports, and batch records and answers in plain language. Then keep the conversation going. Autonomous drafting, data extraction, and document audit work the same way.

Test Out the Sandbox

Insights with the numbers behind them.

Katalyze builds a living view of every raw material and characteristic, compares each result against its own history, and labels its source, specification, and test method. When a value drifts out of range, it is flagged. When a pattern affects yield, it is surfaced for review.

Learn More About the Primary Production Record

40+ built-in connectors. Weeks, not months.

Katalyze deploys into the infrastructure you already have, with no changes to your existing architecture. SAP, Snowflake, AWS, Azure, Veeva, Sartorius, Eppendorf, Siemens, PI historian, SharePoint, and more. Wherever your data lives, from integration to unstructured paper and excel, we meet it there.

Schedule an Integration Call

Enterprise-Grade Security

Auditable by design.

Every answer is grounded in your sources and traceable end to end. When a regulator asks why a batch was released, the answer lives in the record, not in someone's inbox. Source-grounding, audit trails, and traceability are properties of the architecture, engineered for native compliance in the world's most regulated environments.

SOC-2

Type II

HIPAA

Compliant

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.

Katalyze has shortened the time required to provide insights that would have taken very long to arrive at or even not conceptualize altogether. For example, the Katalyze raw material characterization enabled me to identify not just the lot changes aligned with a shift in yield trends but also the attributes of that raw material that changed from the previous lot. This granular information is essential for me as an expert.

Andrew C

MSAT Process Lead - Tetanus USP

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.

What are you interested in discussing?

What challenges are you looking to solve?

By submitting, you agree to our terms of service.

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.

What are you interested in discussing?

What challenges are you looking to solve?

By submitting, you agree to our terms of service.

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.

What are you interested in discussing?

What challenges are you looking to solve?

By submitting, you agree to our terms of service.