What is the Catalist Connector?

The Catalist Connector allows Claude to interact directly with your Catalist workspace. It goes beyond retrieving information from the Catalist Database: it can help you configure and manage the research process itself.

Key capabilities include:

• Company discovery and segmentation: Identify relevant companies by technology, business model, application and other criteria. Claude builds the search query and saves the results in Catalist.
• Custom scoring logic: Let Catalist help you build domain specific custom scoring logics based on your criteria that it can apply on larger datasets to identify quality leads.
• Data enrichment: Activate Catalist, LinkedIn, Crunchbase, Creditsafe and other enrichment services.
• Company intelligence: Access financial history, news, patents, contacts and custom data points for each company.
• Custom classification: Screen and tag companies against your own criteria at scale.
• Market mapping: Create structured market maps, dashboards, reports and watchlists.
• Ongoing tracking: Refresh company data automatically and get notified when companies jump in relevance.

The connector lets you do more than analyse information: you build and maintain the foundation for a more structured way of scouting that makes you more effective as a team.

1. Market mapping: Claude translates your search criteria into queries, builds the collection and sets up custom tags to categorise companies by any dimension, such as technology or business model. It also activates the relevant data enrichment services and reports on the results.
2. Calibrated bulk scoring: Claude builds the scoring logic in Catalist based on your strategic criteria and calibrates it against your feedback on sample companies, so the scores reflect your own judgement. Catalist’s bulk scoring then applies this logic across the full company list at scale.
3. Multi-source data enrichment: Claude activates enrichment services such as Catalist, LinkedIn, Crunchbase and Creditsafe across a collection, combining financial, funding, headcount and company data into a single, complete dataset.
4. Deliverable generation: Market reports, company profiles, comparison tables, presentations and Excel exports can be produced directly from a collection, without manual data transfer.
5. Cross-collection analysis: Analytical questions about a market or portfolio receive direct, sourced answers, such as which companies raised funding in the past twelve months or how a segment is distributed by country.
6. Bulk workspace management: Deal flow statuses, comments, tags and collection assignments can be updated across many companies at once.
7. Automated monitoring and reporting: Collections and enrichment data are refreshed on a recurring schedule, with periodic summaries of new entrants, funding rounds, news and other changes.