# Use Cases - VectorCat

> See VectorCat in action. Watch demos of data findability, metadata management, SPI detection and cross-team collaboration built for biotech and pharma.

Source: https://www.sci2sci.com/usecases

# Built for real problems in life sciences

We designed our product around 3 main challenges our respondents mentioned in interviews with 100+ biotech professionals.

[### Data findability Find historical data across legacy systems](#findability)[### Metadata management Automate metadata extraction and curation](#datacatalog)[### Team collaboration Bridge teams and eliminate friction points](#collaboration)

Data Findability

## Data findability and traceability

**Can't find data from a few years ago?** Poor documentation? A colleague left and now you're playing detective across five systems and hundreds of folders?

You're not alone. Our research with **100+ biotech professionals** found that over **80% struggle with data discovery** — especially after migrations, team changes or when digging into historical projects.

That's exactly why we built these features first. This section shows how we make data discovery simple, even for legacy systems and old projects.

### Locate data and documents

Click to load video from Vimeo

Search across all your systems with natural language queries

#### Locate data and documents

#### Trace lineage and context of data

#### Understand historical research flows

#### Search across languages

#### Company-specific search filters

Metadata Management

## Metadata management and data governance

_"Managing metadata is hard, manual and painful."_

We heard this story in **70% of our customer interviews**. Schemas need constant updates. People fill in duplicate information. Nothing stays organized.

**We listened.** Our data catalog handles schema evolution automatically, curates metadata for you and updates seamlessly as your data grows.

Plus, we added smart governance features — like automatic PII/confidentiality checks and permissions that let people find data without accessing sensitive content.

### Annotate metadata for automatic pipelines

Click to load video from Vimeo

AI-powered annotation to feed your analysis workflows

#### Annotate metadata for automatic pipelines

#### Check data for confidentiality

#### Company-specific search filters

#### Capture and harmonize data from reports

Team Collaboration

## Cross-team collaborations and partnerships

**Managing data within your team?** That's one challenge.

Coordinating with CROs, universities or even other departments in your own company? **That's where things get messy.**

**60% of our interviews** highlighted these collaboration friction points. Different systems, different standards, different workflows.

We designed our platform as a bridge — connecting science teams with tech teams, internal data with external partners. Features that work for everyone, regardless of technical background.

**Because collaborations shouldn't get stuck in data silos.**

### Track work in collaborations

Click to load video from Vimeo

AI agent to recover relationships between teams, projects and external partners

#### Track work in collaborations

#### Search across languages

#### Capture and harmonize data from reports

## Ready to solve these problems?

Book a call to see how VectorCat tackles data findability, metadata curation and collaboration friction — on your own data.

[Book a Call](https://www.sci2sci.com/enroll) [Learn about our Agents](https://www.sci2sci.com/ai-agents)