Evolution Timeline: From Insight to Infrastructure

    • Invest in Series A–C startups with strong traction

    • Focus on GTM, revenue, and operational strength

    • Begin capturing data on founders, rounds, and performance

    • Vexter starts logging foundational data

    • Centralize and structure deal data

    • Enrich each opportunity with founder, traction, and sector signals

    • Build scoring systems to rank and qualify companies

    • Vexter uses this enriched data to train machine learning models that spot patterns in successful deals

    • Vexter powers sourcing and investment decisions

    • Surfaces high-potential startups using real-time behavioral and digital signals

    • Scores founders and teams based on historical success indicators

    • Enables fast, data-driven decisions across sourcing, check sizing, and follow-on


We’re developing a model to identify the traits we believe drive founder success — such as follow-through, resilience under pressure, clear communication, and long-term vision.
Using AI, Vexter will extract these signals from sources like LinkedIn, X, Medium, and email behavior — then validate them over time against real outcomes like fundraising success, hiring quality, and go-to-market execution.

In Phase 3, V11 becomes a fully automated VC platform — using machine learning to understand what makes the best founders and teams scale.

We’re building the Founder & Team DNA Engine to go beyond pitch decks and analyze real behavioral signals.

Founder DNA Model


Strong teams evolve. Vexter will track how teams develop — whether they’re becoming more structured, improving communication, or showing emotional stability.
As more data flows in, Vexter will learn to recognize not just promising teams — but fast learners that consistently outperform the market.

With Phase 3, V11 doesn’t just back strong founders. We use Vexter to help us spot the ones built to lead.

Team DNA Engine

How We Map the AI Ecosystem

  • The backbone of AI — chips (NVIDIA, AMD, Intel), cloud (AWS, GCP, Azure), and data platforms (Snowflake, Pinecone, MongoDB) that provide the compute and storage needed to train and deploy models.

  • Large general-purpose models trained on massive datasets — LLMs (OpenAI, Anthropic, Mistral), multimodal models (Gemini, Claude), and open-source alternatives (LLaMA, Falcon).

  • The orchestration and reasoning layer that allows models to act, plan, and execute across workflows. Includes frameworks (LangChain, LlamaIndex), fine-tuning platforms, autonomous agents, and tool-use capabilities.

  • User-facing products that turn intelligence into solutions. Can be horizontal (Notion AI, Copilot, perplexity) or vertical (AI in healthcare, fintech, legal, robotics).

Investment Strategy

At V11, we focus on the places where technology creates lasting impact. We back Vertical AI platforms that don’t just plug into industries — they become the backbone of workflows, learning from usage, compounding data advantages, and building defensibility as they scale.

“Every monopoly is unique, but they usually share some combination of proprietary technology, network effects, economies of scale, and branding." - Peter Thiel

“Our civilization is built on technology. Technology is the spearhead of progress, the realization of our potential.” - Marc Andreessen

Alongside AI, we invest in Frontier Technologies — the sectors where progress in the physical world redefines what’s possible. From breakthroughs in healthcare and biotechnology, to orbital launch and space infrastructure, to the reinvention of energy and industrial systems through robotics, these are the pillars that will shape the next chapter of civilization.

From Frontier to Scale – Backing Defensible AI & Frontier Tech

From Frontier to Scale – Backing Defensible AI & Frontier Tech

Where We Invest

  • Defensible, sector-specific AI platforms that build moats through proprietary data, regulatory depth, and workflow integration.

  • AI-driven grid optimization, carbon intelligence, and next-generation energy infrastructure.

  • Clinical AI, biotech discovery engines, and digital health platforms transforming patient care.

  • Orbital analytics, autonomous spacecraft, and frontier launch systems shaping the future of civilization.

How We Invest

  • Series A-C

  • United States

  • $500K - $5M