One queryable repository for 150+ scouted companies
A large government services consulting firm centralizes emerging technology scouting research in Airtable across its innovation and business development functions. More than 150 companies are tracked by technology domain, funding, contacts, and engagement history, with AI-powered summarization and auto-tagging replacing scattered spreadsheets and a costly point-tool pipeline.
The problem
Technology scouting research was scattered across spreadsheets and chat threads, with limited visibility into prior outreach to any given company. Categorizing companies and technologies by hand was slow, and restricted data policies blocked uploading pitch decks into some existing tools.
There was no firm-wide insights repository, which made initial background research slow and commercializing what had already been learned nearly impossible. A costly point-tool pipeline added expense without solving the sharing and security problems.
What they built
Innovation, business development, and other internal business units share a base that categorizes companies and technologies with auto-tagging, tracks engagement and conversation history, and schedules demos and proof-of-concept work with recorded outcomes.
AI summarization condenses company details and pitch materials into a queryable format, investor relationships are mapped through linked records, and qualified companies route to account teams with a recommendation attached. Conference contacts feed into the same repository.
The outcome
Company intelligence now lives in one consolidated repository instead of scattered spreadsheets, with AI summaries accelerating the research synthesis that used to take analysts hours per company.
The firm retired a costly point-tool pipeline in favor of the shared base, and outreach coordination improved because anyone can see a company's engagement history before reaching out again.
Inside the solution
Technology Scouting and Company Intelligence
Research & Knowledge Management
- Company and technology categorization with auto-tagging
- Engagement and conversation tracking
- Demo and proof-of-concept scheduling and outcomes
- AI summarization of company details and pitch materials
- Scattered tracking across spreadsheets and chat threads
- Limited visibility into prior outreach
- Manual tagging and categorization of technologies
- No firm-wide insights repository
- Consolidated company intelligence in one repository
- Faster research synthesis via AI summaries
- Improved outreach coordination across teams
- Retirement of a costly point-tool pipeline
- Innovation
- Business development
- Internal business units
- Harmonic
- PitchBook
- Workday/Active Directory
- Zapier
Tech Scouting Research & Company Intelligence
Track every scouted technology company in one queryable repository, categorized by technology domain, funding round and auto-tags, with the full engagement history, demo and proof-of-concept outcomes, investor relationships and screening scorecards attached to each record. Airtable AI writes the company summaries, auto-tag suggestions, engagement recaps and account-team recommendations, while automations open a screening scorecard on every new company, move qualified companies into handoff, and email a weekly pipeline digest.
From scattered spreadsheets to one queryable repository
Copy the templates
Centralize the company repository
Wire the integrations
FAQ
Frequently asked questions
New company records are tagged by technology domain automatically as they enter the base, so analysts spend their time on evaluation instead of sorting companies into categories by hand.
A single Airtable repository with AI summarization built in. The same base that tracks companies also condenses their pitch materials, removing the need for a separate paid tool.
Every conversation and engagement links to the company record, so anyone opening a company can see its full contact history before reaching out again.
A recommendation and handoff step routes qualified companies to account teams directly from the repository, with the engagement history and AI summary attached.
Yes. AI summarization condenses company details and pitch materials into a consistent, queryable format, which is the foundation the auto-tagging and recommendation workflows build on.