Actively investing · $5M–$50M checks · Seed onwards

Yan-David "Yanda" Erlich

General Partner & Head of Tech Investing at B Capital investing in AI co-workers & the infrastructure that supports them. I love to partner with companies enabling the shift from chatbots to colleagues, from seed onwards.

Yan-David Erlich
GP & Head of Tech Investing B Capital
$550M+
Deployed into AI across B Capital, Coatue, and angel investments
55×
DPI on my Weights & Biases seed angel check
$3M→$50M
ARR at Weights & Biases as COO/CRO. Hit/beat plan every quarter
4×
Venture-backed founder. 3 acquisitions (LinkedIn, CAI, Qualcomm)

From Chatbots to Colleagues

  1. 01 · Tools “Help me” Assist a person with a task.
  2. 02 · Agents “Do this for me” Execute a task end to end.
  3. 03 · Co-workers “Own this with me” Own outcomes alongside you. Where I invest

AI is evolving from tools that assist (help me) to agents that execute (do this for me) to co-workers that own outcomes alongside you (own this with me). The difference is fundamental: co-workers retain context across interactions, develop expertise in your specific business, and operate autonomously within defined boundaries. They don't just respond to prompts; they anticipate needs, learn from feedback, and improve continuously, much like a great new hire.

The agent→co-worker transition is happening now. I invest in the applications (engineering, sales, finance) and infrastructure (memory, orchestration, observability) that will capture the next wave of enterprise value. $5M to $50M checks from seed onwards.

I've been a founder, engineer, operator, and investor. That means I can help at every stage: from first product decisions to scaling GTM to navigating board dynamics. I've written code, closed deals, built teams, and run a P&L. I know what the problems feel like from the inside.

What I Look For

  1. AI technical depth + domain expertise Exceptional founders with strong founder-market fit over traction alone.
  2. Data moat quality & uniqueness As models commoditize, unique high-quality data with continuous feedback loops becomes the primary differentiator.
  3. Workflow embedding depth Products indispensable to users' daily work are defensible. Deep integration creates switching costs.
  4. Progressive defensibility Clear plan for layering-in defenses over time. Technical moats alone don't last.

Selected Investments

$550M+ deployed into AI across B Capital, Coatue, and angel investments. AI angel investments include Weights & Biases, Forethought, Braintrust, Haize Labs, Twin Labs, and Espa Labs.

Operator-Turned-Investor in AI

Deep AI operating experience combined with a decade of early-stage investing.

  1. Start

    Engineering & product at Google and Microsoft

    I started my career in engineering and product at Google and Microsoft.

  2. Founder ×4

    Four venture-backed companies, three acquisitions

    Parsable (acquired by CAI), ChoiceVendor (acquired by LinkedIn), Mogad (acquired by iSkoot/Qualcomm), and Happiness Engines.

  3. Coatue

    General Partner

    Built the enterprise investing practice for Coatue's Venture funds and led early AI investments including Weights & Biases, Covariant, Abacus.AI, Infinitus, Impira, and Raycast.

  4. 2021

    COO, then CRO at Weights & Biases

    My deepest conviction bet. I angel invested at Seed (55x DPI), led the Series A & B for Coatue (10x blended DPI), and served as Board Director for 3 years. Then I left venture to join as COO, building global GTM from scratch and scaling the company from $3M to $50M ARR. As CRO, I hit or beat plan every quarter. Weights & Biases was acquired by CoreWeave in 2025.

  5. Today

    General Partner & Head of Tech Investing, B Capital

    I led our investments in The OpenAI Deployment Company, Perplexity, Axiom, Goodfire, CodeMetal, Unblocked, and Collinear. I continue to invest behind the AI Co-Workers thesis.

Things I've Made

Connect

Building AI co-workers? Let's talk.

Building AI co-workers or the infrastructure that enables them? I'd love to work with you. I'm actively making new investments in AI solutions (engineering, sales, finance, support) and enabling infrastructure (memory, orchestration, observability). $5M to $50M checks.

Reach out