About NovaMind

We started NovaMind because we saw a gap: plenty of companies had AI ambitions, but few had the technical depth and business acumen to turn those ambitions into production systems that actually deliver ROI.

Our Mission

To make enterprise-grade artificial intelligence accessible to every organization — regardless of where they are on their AI journey. We believe the companies that will define the next decade are the ones that learn to make AI a core competency today.

That means not just building models, but building the teams, processes, and infrastructure that let organizations innovate with AI independently. Our goal is to make ourselves unnecessary — to leave every client more capable than we found them.

Company Timeline

2019
NovaMind founded in San Francisco
2020
First enterprise client; built fraud detection system processing $2B in transactions
2021
Expanded to 30 employees; launched NLP and computer vision practices
2022
Opened London office; won "AI Startup of the Year" at TechCrunch Disrupt
2023
Series B funding; 150+ models deployed across 40 clients
2024
Launched AI Agents practice; partnered with leading cloud providers

Our Values

Impact Over Hype

We measure success by business outcomes, not buzzwords. Every solution we build has a clear ROI thesis behind it.

Radical Transparency

We tell you when AI isn't the answer. Honest assessments build trust — and save you from expensive mistakes.

Relentless Iteration

AI is never "done." We build systems that learn, adapt, and improve continuously — just like the teams behind them.

Human-Centered AI

The best AI amplifies human capability. We design for collaboration between people and machines, not replacement.

Leadership Team

Researchers, engineers, and operators with decades of combined AI experience.

MC

Dr. Maya Chen

CEO & Co-Founder

Former Head of AI at a Fortune 500 fintech. PhD in Machine Learning from Stanford. 15+ years building production ML systems.

JO

James Okafor

CTO & Co-Founder

Ex-Google Brain researcher. Specializes in large-scale distributed AI systems and MLOps. Built infrastructure serving 100M+ predictions daily.

SK

Dr. Sarah Kim

VP of Research

Published 40+ papers in NLP and computer vision. Led research teams at DeepMind and OpenAI. Bridges cutting-edge research with practical applications.

AR

Alex Rivera

VP of Engineering

Scaled AI platforms at two unicorn startups. Expert in cloud-native architecture, Kubernetes, and building high-reliability ML pipelines.

PP

Dr. Priya Patel

Head of AI Ethics

Former policy advisor on AI governance. Ensures every solution we ship is fair, transparent, and aligned with responsible AI principles.

MW

Marcus Webb

Head of Delivery

10+ years managing complex AI implementations across healthcare, finance, and logistics. Keeps projects on time and on budget.

Join Our Team

We're always looking for brilliant minds who want to work on the most interesting AI problems in the world.

Get in Touch