Nessie

A shared context layer for you, your team, and your agents.

Y CombinatorFall 2025ActiveConsumer

What they do

Problem

AI-driven knowledge work and decision context is fragmented across tools and lost between sessions, preventing ideas and reasoning from compounding over time.

Solution

Nessie automatically syncs conversations from major AI providers into a structured, queryable shared context layer usable by humans and AI agents without manual capture.

Who it's for

Teams and knowledge workers who use multiple AI assistants and agent workflows across an organization.

Founders

Anna Zhang

Co-Founder & CEO

Co-Founder & CEO @ Nessie. Yale BS ‘24. Prev engineer @ Amazon's recommendation service. Shipped ML-powered features for billions of customers and led experiment that demonstrated a $200MM/year revenue impact. Obsessed with augmenting human cognition since high school, having conducted neuroscience research at The Rockefeller University. Founded Nessie with Tiger to build AI brains after hitting the 1-million-token limit in multiple Gemini chats.

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Tiger Wang

Co-Founder & CTO

Co-Founder & CTO @ Nessie. Yale BS ’24. Previously at Amazon, engineered planetary-scale authentication systems handling 40 billion requests/day. Promoted in a Tier-0 org in record time. Shipped an Android app with 70k+ users at age 13 and researched Linux kernel security at Yale. Expert in reverse-engineering complex systems.

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