Built by researchers.
Operated by engineers.
NeuralBridge was founded by researchers from Two Sigma, Google DeepMind, and Goldman Sachs who got tired of watching AI demos that couldn't survive production. We build the systems that do.
Production or nothing
We measure success by whether a system runs in production and creates value. Not by demos, reports, or prototypes.
Deep domain expertise
We don't generalize. We go deep in five domains and build the same type of system repeatedly until it's exceptional.
You own everything
Full source code, model weights, prompts, and IP transfer on every engagement. No lock-in. Ever.
The people behind the systems
Dr. Priya Sharma
CEO & Co-founder
Former Head of ML at Two Sigma. PhD in Computational Linguistics from Stanford. Led the team that built the first production LLM system for financial research at a top-tier hedge fund.
Publications
Marcus Webb
CTO & Co-founder
Previously Principal Engineer at Google DeepMind. Built distributed inference systems serving 100M+ requests/day. Obsessed with making production AI reliable.
Publications
Dr. Elena Rodriguez
VP of Research
Former Goldman Sachs Quant Research Director. 10+ years building systematic trading systems. Leads our financial domain expertise and client intelligence solutions.
Publications
James Liu
VP of Engineering
Ex-Stripe and Figma engineering lead. Architect of developer tools used by 50,000+ engineers. Leads our software engineering practice and agentic coding products.
LinkedInEvery 100-day engagement,
structured for delivery.
Discovery & Scoping
Deep dive into your workflow, data environment, and success criteria. We define measurable KPIs before writing a line of code.
Architecture & Baseline
Design the system architecture and deploy a working baseline so you can see progress immediately.
Build & Iterate
Full development with bi-weekly demos. We ship incrementally and adjust based on your feedback.
Deploy & Transfer
Production deployment, team training, documentation, and full IP transfer. You own everything.
Join us
We're always looking for exceptional researchers and engineers who want to build things that run in production.