NovaMind was founded by engineers who got tired of AI being accessible only to teams with massive budgets and dedicated research labs. We built the tools we always wished existed.
Three engineers — Elena, Marcus, and James — quit their Big Tech jobs and started building NovaMind in a San Francisco garage. Fueled by conviction that AI tooling was broken for 99% of companies.
Launched private beta. Reached 100 paying customers in 6 weeks through developer communities. Zero marketing spend — pure word of mouth.
Closed oversubscribed seed round led by Horizon Ventures. Grew team to 15 engineers and launched the Automation Engine — our flagship product.
Achieved SOC 2 Type II certification and signed first enterprise contracts. Deployed NovaMind into Fortune 500 infrastructure for the first time.
Led by SequoiaAI Partners with participation from a16z and Insight Partners. Used to scale engineering to 52 people across 3 time zones and launch the Predictive Intelligence Engine.
NovaMind now serves teams across finance, healthcare, e-commerce, and tech — processing over 2.4 billion API requests per month with 99.9% uptime.
Ex-Google, ex-OpenAI, ex-Stripe engineers who chose to build the tools they always needed.
Former Google DeepMind researcher. PhD in ML from Stanford. 12 years building AI systems at scale.
Former Stripe infrastructure lead. Built payment systems processing $200B+ in transactions.
Former OpenAI product lead. Helped launch GPT-3 API and served 100K+ developers.
We show our work. Every model decision is explainable. Every pricing change is communicated in advance. No hidden fees, no black boxes.
Downtime is a broken promise. We engineer for 99.99% uptime and treat every incident as a personal failure. Reliability is non-negotiable.
Enterprise-grade intelligence shouldn't require enterprise-grade budgets. We price to make NovaMind accessible to teams of 2 and teams of 2,000.
Your data is yours. We never train on your private data without consent. Full GDPR and CCPA compliance is the floor, not the ceiling.
We deploy weekly. Imperfect and live beats perfect and delayed. We listen hard, move fast, and treat feedback as a gift.
We maintain an AI ethics board and publish annual transparency reports. We believe powerful AI demands proportional accountability.
We're hiring across engineering, product, and sales. Come build AI that matters.