Extruct AI
Real-time AI company intelligence and automated deep research platform.
What is Extruct AI?
Extruct AI (also recognized as extruct.ai) is a real-time company intelligence platform designed to turn the open web into an active deal flow engine. Developed to assist sales professionals, growth operations, developers, and investors—including those scouting ycombinator 2025 batch companies or tracking startups on the yc w25 and yc x25 lists—the platform researches companies in real-time. Rather than relying on outdated static databases, extruct ai utilizes semantic search and live web crawling to deliver structured firmographics. It serves as a comprehensive yc batch explorer and automated research assistant for identifying high-fit leads, mapping markets, and maintaining clean databases.
Category
Best Extruct AI use cases by task, role, industry, and platform
These use cases show where Extruct AI fits best, ranked by fit score before popularity or pricing.
Extruct AI Pricing Plans
Compare Extruct AI free options, Extruct AI paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free, Basic from $39/mo
2.5K credits per month, infinite credit rollover, features AI research, AI Company Discovery, real-time results, and unlimited support
10K credits per month, infinite credit rollover, features AI research, AI Company Discovery, real-time results, and unlimited support
25K credits per month, infinite credit rollover, features AI research, AI Company Discovery, real-time results, and unlimited support
Custom AI research, features Team Workspace, proprietary data sources, CRM integrations, and exclusive 24/7 support
Pricing updated:Jun 12, 2026
Extruct AI AI Features
Extruct AI Pros and Cons
Pros
- Real-time live-crawled data avoids the issue of stale database records
- Saves manual research time by automating multi-source firmographic synthesis
- Unused monthly credits roll over indefinitely on paid plans
- Seamless outbound workflow integration with popular CRMs and Slack
Limitations
- Credit-based execution limits the volume of data retrieved per billing cycle on lower plans
- Deep enterprise integrations and custom data models require upgrading to custom plans