Learning. Equity. Network. System.
The Ultimate VC-Founder Matching Platform
Founders are flying blind into the most critical decisions of their entrepreneurial journey. The current system is broken, creating massive inefficiencies and missed opportunities.
Academic research and founder testimonials reveal the depth of the matching problem between VCs and startups. Understanding fund thesis alignment, stage preferences, and industry focus is critical but often opaque.
"I spent 8 months pitching to VCs who had never invested in B2B SaaS. If I had known their portfolio focus upfront, I could have saved months."— Series A Founder, Pittsburgh
"The hardest part wasn't building the product—it was figuring out which VCs actually invest in our stage and geography."— Pre-seed Founder, Austin
"I wish there was a way to see VC investment patterns and portfolio conflicts before pitching. It would save everyone time."— Growth Stage Founder, Denver
VCs funding competitors, IP leakage risks
80% of funding concentrated in CA, MA, NY, TX
Average 45+ days with minimal actionable feedback
52% of deals fail due to valuation misalignment
61% unprepared for investor questions
Founders struggle with dilution scenarios and equity management
Founders don't recognize predatory terms
Understanding long-term implications of equity decisions
A comprehensive platform that combines Carnegie Mellon's academic rigor with cutting-edge technology to solve every aspect of the VC-founder matching process, capturing data critical to economic decisions both academic and practical.
Data-driven education tools and CMU expert content
Founders gaining access to needed capital through strategic alignment
Founder-VC matching and transparency tools
Comprehensive platform approach with enhanced data capture for improved decisions for everyone
Experience the complete LENS ecosystem through our integrated platform mockups
Comprehensive dashboard with VC match cards, confidence scores, and integrated Learning/Equity/Network/System navigation
Multi-step intake process covering business fundamentals, team dynamics, traction metrics, and investment preferences
Statistical confidence intervals provide actionable VC recommendations with specific outreach strategies for each match level
Mobile-optimized interface with VC discovery cards, mobile cap table tools, and CMU course library access
Featured courses from CMU Award winning faculty in Entrepreneurship & Innovation
Interactive tool with dilution scenarios, what-if modeling, and founder equity retention tracking
Detailed VC-founder match analysis with confidence scoring and contact strategy recommendations
Peer comparison with industry benchmarks, revenue multiples, and realistic vs aspirational indicators
Automated analysis with red flag warnings, clause-by-clause breakdown, and negotiation recommendations
Professional CRM interface for managing VC meetings with preparation checklists and outcome tracking
Interactive network graph showing connections to VCs, mentors, and CMU alumni with warm intro pathways
Using comprehensive VC data from multiple institutional sources, our algorithm provides precise founder-VC compatibility scoring with statistical confidence intervals.
Six key differentiators that create an unassailable market position
First VC platform built on peer-reviewed Carnegie Mellon research methodology
Comprehensive VC database from multiple institutional sources, not surveys
Access to 100,000+ alumni globally with proven entrepreneurial success
Cap table optimization and advanced financial modeling, not basic templates
Addressing 80% funding concentration in 4 states with underserved region focus
Statistical confidence intervals, not binary yes/no matching algorithms
LENS combines Carnegie Mellon's academic excellence with cutting-edge technology to advance research in entrepreneurship and economic decision-making.