AIPitchScout turns founder rooms into machine-readable deal flow.
AIPitchScout captures live pitches, demos, and follow-up meetings, then converts them into structured investor intelligence: transcripts, evidence tags, deal memory, API feeds, and SVET Rating valuation context for agentic VC workflows.
Online signals miss what investors learn in the room.
Digital data sources are abundant, but they rarely capture the current, credible signals that emerge from physical founder-investor interactions: how founders defend assumptions, respond to expert feedback, demonstrate product depth, and evolve after the first pitch.
As AI commoditizes generic online research, verified physical presence becomes a premium trust layer. AIPitchScout converts that live interaction layer into searchable, evidence-backed data for VC teams, angels, family offices, and agentic AI systems.
The live-data gap
- Current context: founders reveal timing, urgency, and resilience during live sessions.
- Credible evidence: demos, judge feedback, and follow-up answers create verifiable deal records.
- AI-ready structure: investor agents need clean records, not scattered notes and inbox fragments.
From founder conversation to investor data infrastructure.
Capture
Live pitches, demos, office hours, and follow-up sessions are recorded as structured source events.
Structure
Transcripts, evidence tagging, and entity-level deal memory transform raw sessions into durable records.
Evaluate
SVET Rating and standard Silicon Valley valuation methods add comparable scoring and valuation context.
Distribute
Weekly or monthly updates and API feeds deliver machine-readable intelligence into investor workflows.
A community advantage built from repeated Silicon Valley interaction.
AIPitchScout starts with 2.5 years of Mountain View pitch event history, 90-120 attendees per event, 10-15% investor participation, more than 500 hosted pitches, 5+ financed companies, and a 1,000+ member founder-investor community.
The edge is not another online scraping layer. It is repeated access to live founder behavior, investor questions, judge feedback, and community memory from one of the Bay Area's strongest free monthly startup showcases.
Positioning
- Human Premium: verified physical presence gains value as digital content becomes cheap.
- Founder graph: live events create proprietary relationship, feedback, and progress signals.
- Investor integration: records are built for analysts, partners, and agentic AI workflows.
Under 2% of Silicon Valley deal-flow capture in a conservative market case.
Base case with 15% of Seed and Series A deals across SF, NYC, and London hubs.
Optimistic case with 40% of global early-stage emerging manager deal-flow.
Subscription data feeds for investor teams.
AIPitchScout is designed as an annual subscription product priced at $3,000 to $5,000 per investor, scaling from focused weekly or monthly intelligence feeds into deeper API access and workflow integrations.
Steady-state revenue range
- $150K-$300K: 40-60 investors.
- $800K-$1.5M: 150-250 investors.
- $3M-$6M+: 500-800+ investors.
Operators, builders, and ecosystem specialists.
SVET Svitlo
Silicon Valley startup ecosystem builder and board adviser with 15+ years in fundraising, go-to-market, governance, and recurring founder-investor events.
Ashan Devine
Computer specialist building AI systems, RAG tools, native AI apps, and agentic workflow integrations for speed and accuracy.
Cindy Rusli
Co-founder and creative lead with engineering, linguistics, UX design, immersive experience, gaming, and fine-art photography background.
Rana Biswas
Senior software engineer with 14+ years in large-scale web applications, micro-services architecture, cloud migration, and RESTful APIs.
Steven Pease
Software builder with recent AI infrastructure optimization work at Meta and UCLA computer science background.
Ky Tan
Creative technologist with illustration, film, XR launch, production tooling, internet culture, AI video, and marketing funnel experience.
Arav Kasliwal
Entrepreneur and technologist building decentralized applications, scalable software systems, smart-contract security, and data architecture.
Enrique Zueco
Technology entrepreneur focused on logistics, supply-chain platforms, real-time data processing, marketplaces, and growth execution.
Technical, venture, infrastructure, and global expansion guidance.
Yicheng Li
Machine learning theory specialist across kernel methods, spectral algorithms, neural networks, optimization, and high-dimensional probability.
Vivek Somani
Technology leader in fintech, scalable engineering teams, distributed systems, product strategy, and financial platforms.
Jorge Zavala
Silicon Valley advisor connecting Latin American talent with Bay Area venture building, design thinking, and ecosystem growth.
Fabian Hoffmann
Digital transformation and industrial IoT executive with corporate venture capital and operational excellence expertise.
Alejandro Parra Garcia
International expansion and business development leader focused on cross-border partnerships, investments, and acceleration programs.
Jay Gubbi
Cloud infrastructure, cybersecurity, enterprise software, GTM strategy, strategic planning, and global operations advisor.
Haricharan Bharathi
Computer vision, deep learning, backend systems, real-time object detection, data pipelines, and distributed systems specialist.
Raj Patil
Distributed systems, cloud computing, full-stack development, high-throughput pipelines, and AI/ML enterprise integration advisor.
Founder and operator credibility from the event network.
"SVET's pitch events provide invaluable practice and feedback from experienced judges."
"SVET hosts quality re-pitch events that deliver real feedback from experts."
"SVET makes enormous contributions to Silicon Valley's startup community."
"SVET masterfully directs vibrant events with genuine support for all startups."
"SVET powers Hacker Dojo's strong startup ecosystem."
"SVET's professionalism and charisma make events shine for all startups."
Raising $500,000 SAFE to scale the live-data layer for agentic venture capital.
The financing expands live data capture, strengthens API delivery, and grows distribution across investor workflows. AIPitchScout's long-term vision is to become the structured trust layer for venture intelligence: live, searchable, evidence-backed data that helps investors and AI agents understand founders before the market does.