General Application

Hi, I'm Brian, Co-Founder of Egra. We just raised $5.5M to build foundation models for brain signals.

We're a small team tackling one of the hardest problems in ML — decoding human brain activity from noisy, real-world EEG signals — and turning it into technology that actually works. If what we're building resonates with you and you think you'd make us better, we want to talk.

We're building toward a world where thought is an interface.

You silently compose a message and it types itself. You navigate an AR display without lifting a finger. Software adapts to your cognitive state in real time. A universal interface between human thought and digital action.

The product we're building to get there has three layers:

1. A Neural Encoder: a foundation model that maps raw EEG into robust, reusable embeddings that work across devices, subjects, and contexts

2. A Neural API: a stable interface that any app can call: "What is the user's state?" "What intent is most likely?" "What changed?"

3. Reference applications: proving utility and driving our data collection flywheel

You'll have complete ownership over your work from day one. No lengthy onboarding, no waiting for permission, no navigating layers of approval. A small founding team, deep technical problems, and the resources to solve them. If you thrive with high agency and want your work to directly shape the company's trajectory, this is that kind of place.

We're open to a wide range of backgrounds — engineering, research, operations, design, hardware, neuroscience, business. What matters most is that you're exceptional at what you do, excited about the problem, and comfortable in a fast-moving team of 3–5 people where everyone ships.

If you're not sure whether you're a fit, apply anyway. We'd rather have a conversation than miss someone great.

Send us a short note about who you are, what you've done, and why Egra interests you. A resume or portfolio helps, but a thoughtful paragraph matters more.