Chronograph
Knowledge management
Teams manually searched siloed databases. Now, custom connectors link HubSpot and Notion to Claude, saving sales dozens of hours weekly.
- 2 weeks to proficiency for junior staff
- 2-month rollout of Claude Enterprise
Eight siloed tools consumed hours of prep before every founder meeting. Now context surfaces in minutes — investors walk in already deep.
A venture capital firm backing founders in Australia and New Zealand, with $2 billion in funds under management and a portfolio of 130+ companies including Canva, Airwallex, and Linktree.
The investment team's work spanned eight tools (Google Workspace, Slack, Notion, Affinity, Sigma, Webflow, Typeform, and Canva), and pulling data...
“Our biggest operational pain point wasn't access to information; it was that it was scattered across many tools.”
Venture capital firm backing Australian and New Zealand founders.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Airtree's Meeting preparation is part of this use case:
Related implementations across industries and use cases
Teams manually searched siloed databases. Now, custom connectors link HubSpot and Notion to Claude, saving sales dozens of hours weekly.
Manual data checks bottlenecked pitch reviews for weeks. Now, AI runs first-pass screening, freeing analysts for founder interviews.
Customer due diligence took a week of cold outreach. Now, analysts query an AI expert transcript library to finish research in 1 day.
Legacy models crashed at 1M tokens. Bankers now use a single AI agent to process 100M+ token deals and build custom skills without code.
Same work tracked in four disconnected tools. AI pulls live context from all of them—drafts land ready to sharpen, not start.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Eight siloed tools consumed hours of prep before every founder meeting. Now context surfaces in minutes — investors walk in already deep.
A venture capital firm backing founders in Australia and New Zealand, with $2 billion in funds under management and a portfolio of 130+ companies including Canva, Airwallex, and Linktree.
The investment team's work spanned eight tools (Google Workspace, Slack, Notion, Affinity, Sigma, Webflow, Typeform, and Canva), and pulling data...
“Our biggest operational pain point wasn't access to information; it was that it was scattered across many tools.”
Venture capital firm backing Australian and New Zealand founders.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Airtree's Meeting preparation is part of this use case:
Related implementations across industries and use cases
Teams manually searched siloed databases. Now, custom connectors link HubSpot and Notion to Claude, saving sales dozens of hours weekly.
Manual data checks bottlenecked pitch reviews for weeks. Now, AI runs first-pass screening, freeing analysts for founder interviews.
Customer due diligence took a week of cold outreach. Now, analysts query an AI expert transcript library to finish research in 1 day.
Legacy models crashed at 1M tokens. Bankers now use a single AI agent to process 100M+ token deals and build custom skills without code.
Same work tracked in four disconnected tools. AI pulls live context from all of them—drafts land ready to sharpen, not start.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.