
VectorCat
Enterprise AI for biotech & pharma
Data intelligence powered by AI agents for process automation & knowledge extraction

VectorCat
Enterprise AI for biotech & pharma
Data intelligence powered by AI agents for process automation & knowledge extraction
Knowledge management and data governance with AI
VectorCat is designed to address the specific data challenges in the biotech and pharmaceutical industries, such as:
- make data easy to find, whether it's from the wet lab, CROs or computational teams
- harmonize data/metadata from multiple sources with flexible schemas
- extract structured data from unstructured (e.g. protocols) - to run analysis or catalog it
- use AI to search and summarize all existing knowledge on a particular topic/drug etc.
VectorCat overview:

Data integration
Connect multiple resources used in the organization, from lab notebooks and file sharing systems to cloud storages and dashboards.

Data lineage
Make it easy to understand how data flows within the organization, even when it is created, modified and used by different teams.

Semantic search
Our semantic search understands the meaning of your query, delivering results beyond exact matches.

AI agents for data
From summarizing institutional knowledge to automating data requests – our agents can be used and deployed on-the-go. More info here.
Built for everyone. Including AI.
We have developed a flexible system that accommodates diverse needs of users. VectorCat offers intuitive interface for researchers and business users, while offering enough complexity for technical teams - including an opportunity to customize and develop AI agents right inside our platform.
Easy UI
for scientists & business
Powerful API
for engineers and AI
Data catalog designed for biotech & pharma:
Industry-specific data formats
From gene sequencing files to microscopy images, we can connect your very specific data assets to the rest of your data infrastructure to improve data observability and usability.
Structured and unstructured data as part of the same stack
Lab notes, protocols and other unstructured data can be an important part of the data stack alongside structured data. If this is your case, we can help you connect these diverse data types into a unified and searchable system.
Customization to your infrastructure
Most likely, you already have software applications in place, and changing those would be a challenge. We adapt our system to be compatible with your existing infrastructure, so that you don’t need to move your data or convince people of adopting new tools.
Security first
We prioritize security at every level. Our robust access control protects your sensitive data, and data governance policies of your choice will automatically apply to AI, reducing potential leak risks from privileged granted access.