Investors spent hours manually combining filters to screen startups. Now, AI agents translate complex queries into precise targets.
A startup discovery engine aggregates millions of public and private data points to help venture capitalists track company formation and identify emerging businesses.
Discovering relevant early-stage investments required users to manually combine filters across hundreds of fields in a complex search interface. This...
“This UI is invaluable for debugging—instead of rerunning every node, we can directly inspect graph state at any point, make changes, re-run from that point, and observe the difference. Or open up that execution in Playground, with all the context from execution time already there so you can instantly experiment with different models or instructions.”
AI startup discovery engine for venture capital and sales teams.
Framework and developer platform for building LLM-powered applications.
Harmonic's Investment research is part of this use case:
Related implementations across industries and use cases
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Novices were too embarrassed to ask basics publicly. Private AI agents now answer instantly, cutting response times from 10s to near-zero.
Customer due diligence took a week of cold outreach. Now, analysts query an AI expert transcript library to finish research in 1 day.
Scouring 12+ silos delayed critical IP checks. GenAI unified search, letting 4 analysts match the output of a 100-person team.
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
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.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Investors spent hours manually combining filters to screen startups. Now, AI agents translate complex queries into precise targets.
A startup discovery engine aggregates millions of public and private data points to help venture capitalists track company formation and identify emerging businesses.
Discovering relevant early-stage investments required users to manually combine filters across hundreds of fields in a complex search interface. This...
“This UI is invaluable for debugging—instead of rerunning every node, we can directly inspect graph state at any point, make changes, re-run from that point, and observe the difference. Or open up that execution in Playground, with all the context from execution time already there so you can instantly experiment with different models or instructions.”
AI startup discovery engine for venture capital and sales teams.
Framework and developer platform for building LLM-powered applications.
Harmonic's Investment research is part of this use case:
Related implementations across industries and use cases
Typing friction limited query depth. Now, analysts speak complex requests to screen stocks and analyze filings in real time.
Novices were too embarrassed to ask basics publicly. Private AI agents now answer instantly, cutting response times from 10s to near-zero.
Customer due diligence took a week of cold outreach. Now, analysts query an AI expert transcript library to finish research in 1 day.
Scouring 12+ silos delayed critical IP checks. GenAI unified search, letting 4 analysts match the output of a 100-person team.
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
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.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.