Pioneering AI Infrastructure

Where Speed Meets
Intelligence

A team of relentless builders, pushing the boundaries of what's possible in AI infrastructure. We don't just store vectors, we make them fly.

Our Story

When we started building AI applications, we hit a wall. Existing vector databases couldn't keep up with production demands. They were either too slow, too expensive, or couldn't scale.

So we built Endee from the ground up - a vector database engineered for speed, scale, and efficiency. Not just another storage system, but true AI infrastructure designed for the demands of production workloads.

Our Vector Graph Engine (VGE) represents years of research into graph algorithms, memory optimization, and hardware acceleration to deliver unmatched performance at scale.

But performance alone isn't enough. That's why we pioneered Queryable Encryption - a breakthrough that enables you to search encrypted data without ever exposing it. Your vectors remain encrypted end-to-end, giving enterprises true zero-knowledge security without sacrificing speed.

Chief Architect

The visionary leading Endee's engineering innovation

Vineet Dwivedi

Founder

Vineet is a seasoned tech entrepreneur with over 20 years of experience building and scaling high-performance technology platforms. His career spans distributed systems, AI platforms, and cloud-scale data infrastructure.

As the Founder of Endee, Vineet brings decades of deep technical expertise to building a next-generation vector database - engineered for relentless performance, effortless scalability, and real-world AI workloads. He is deeply passionate about algorithms, systems design, and the science of scale.