Team - Equmenopolis

Founders

Yoichi Matsuyama

CEO & Co-Founder

Previously led NLP product at a conversational commerce platform where he first built the coreference resolution engine that became Equmenopolis's core. Eight years in dialogue systems research before moving to product.

Priya Nair

CTO & Co-Founder

Distributed systems engineer who spent six years building real-time inference infrastructure. Holds three patents in low-latency NLP pipelines. Designed Equmenopolis's context state engine from scratch with under 10ms overhead target from day one.

Marcus Webb

Head of Research

PhD in computational linguistics from Stanford. Published research on entity tracking in multi-document discourse. Joined Equmenopolis to work on the same problem in a production environment instead of a lab setting.

Engineering & Operations

Sofia Reyes

Lead Backend Engineer

Builds and maintains the context state API. Previously at a Series B fintech platform handling high-throughput event streaming. Focused on keeping P95 latency under 80ms as session complexity scales.

James Okafor

ML Engineer

Trains and evaluates intent classification models. Specializes in low-resource fine-tuning and model distillation. Wrote the internal benchmark suite used to test context retention across dialogue domains.

How We Work

⚙

Small and focused

We don't hire to grow headcount. Every engineer owns a vertical from model to API. No hand-offs, no tickets disappearing into queues.

📊

Data before decisions

Every product change is validated against turn-level metrics. If fallback rate doesn't move, the feature didn't work - we don't ship it regardless of how good it looks in a demo.

🔍

Transparent research

We publish the methodology behind our context architecture. If a competitor builds something better from our writeup, that's fine - it means the field moves forward.

THE TEAM