---
type: company
title: NovaMind
tags:
  - yc-w25
  - ai-agents
  - seed-stage
---

# NovaMind

AI agent startup building autonomous agents for enterprise workflow automation. YC W25
batch. Currently seed stage.

## Overview

NovaMind replaces traditional SaaS dashboards with fleets of task-specific AI agents
that execute complex business workflows end-to-end. Their flagship demo is a
procurement agent that handles a 47-step workflow autonomously: vendor discovery, RFQ
generation, bid comparison, approval routing, and purchase order creation.

## Key People

- Sarah Chen — Founder and CEO. Former Anthropic ML engineer. Stanford CS 2020.
- Priya Patel — CTO and co-founder. Stanford CS PhD 2022. Ex-Google Brain.

## Funding

- Seed: $4M raised March 2025, led by Threshold Ventures (Marcus Reid). Post-money
  valuation $20M. Angels include YC partners.
- Pre-seed: YC standard deal (W25 batch).

## Technology

- Multi-agent coordination layer designed by Priya Patel, based on her Stanford
  research on emergent communication protocols.
- "Compiled procedures" — agents learn reusable sub-routines from successful task
  completions rather than relying on static prompt chains.
- Supervisor agent architecture for error recovery and dynamic re-planning.
- 94% task completion rate on complex multi-step workflows in benchmarks.

## Go-to-Market

- Vertical-first strategy starting with procurement and supply chain.
- 2 enterprise design partners signed pre-launch.
- Launch target: Q3 2025.

---

## Timeline

### 2025-03-15 — YC W25 Demo Day

NovaMind presented at W25 Demo Day. Standout demo of the batch. Sarah Chen
demonstrated the procurement agent live, completing the full 47-step workflow in under
4 minutes. Strong investor interest post-presentation.

### 2025-03-28 — Seed Round Closed

Closed $4M seed led by Threshold Ventures. Marcus Reid joins board. Capital allocated
primarily to hiring: 3 senior engineers, 1 design partner lead. Company is 4 people
currently (Sarah, Priya, and 2 founding engineers).

### 2025-04-01 — Hiring Kickoff

Sarah shared that they posted senior engineer roles. Looking for people with
distributed systems and/or ML inference optimization backgrounds. Targeting SF-based
candidates for in-person collaboration during the early stage.
