Productivity

Nessie

Website
Founded 2025Origin source ↗Checked 2026-09-15

Overview

Knowledge work is being restructured by AI. Strategy happens in Claude. Research happens in ChatGPT. Building happens in Claude Code and Codex. Meetings get recorded, notes get written, agents run for hours and leave behind traces nobody reads. The people defining the next decade of work are already thinking with AI every day. But none of that thinking compounds. Every session starts from zero. The reasoning behind decisions, the context behind strategies, the evolution of ideas across hundreds of conversations - all of it evaporates.

Nessie is the infrastructure that makes it permanent. We auto-sync AI conversations and agent traces across every major provider - ChatGPT, Claude, Gemini, Perplexity, Claude Code, Codex, Cursor, OpenClaw, Hermes, and more - alongside meetings, notes, and email from tools like Granola, Read AI, Plaud, and Obsidian. Everything a team produces with AI flows into one place and compounds over time.

Nessie turns that raw, heterogeneous data into an ontology: the live state of a company. Not a static schema but a continuously updated record of what the company knows, what it has decided, who owns what, and how its thinking has evolved, kept current as new work flows in. It is queryable from any agent through our CLI, MCP connector, and plugins, shareable across a team with real permissions, and deployable on-prem for organizations that need it.

Then the loop closes. Once a company’s state is legible to its agents, every agent run becomes training signal: which skills worked, which failed, which workflows keep repeating. Nessie feeds that signal back as reviewable improvements to the skills, prompts, and processes the team runs on. This is what makes a company recursive: its agents get better from its own history, the people working with them get better too, and the compounding never stops.

Where we are going: the AI-native organization runs thousands of agents that are powerful but amnesiac. Nessie is the layer that gives them, and the humans steering them, a shared memory. Science has journals, law has case law, software has git; AI-native knowledge work has had nothing. We are building it.

Founded by two Yale CS grads and former Amazon engineers in San Francisco. Backed by BoxGroup, Pioneer Fund, Y Combinator, Precursor, and more.

https://nessielabs.com

Company description As recorded 2026-11-08

Product & workflow

Connect an integration and Nessie backfills all available history from it, then keeps new sessions, meetings, and files flowing in.

Source-reported As recorded 2026-11-03

Founders & team

Anna Zhang

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.

Founder profile As recorded 2026-09-15

Tiger Wang

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.

Founder profile As recorded 2026-09-15
3team members reported
Source-reported As recorded 2026-09-15

Founded 2025 · Source

News & product activity

Sources & observations

Y Combinator

Profile depthenriched profile
Website observationwebsite reachable
Last website check2026-11-11
Location · source statedSan Francisco, CA, USA
Pricing evidenceA pricing page was detected
Maturity: Operating · 4 of 6 areas documented

Source-based assessment · automated evidence rules

The company website explicitly reports customer or user adoption. This is a source-based assessment of a company claim; scale and revenue are not independently verified.

Company website: home Checked 2026-11-03

Used by people and teams at

Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.

Stage definitions
independent websitesource corroborationreachable websitedescriptive evidenceclassified market and modelsourced peoplesourced founding yearpricing page observeddocumentation observedrecent publishing observed