We're a distributed team of engineers, designers, and data scientists passionate about making vector search accessible to everyone. From San Francisco to Singapore, we're building the future of semantic search.
Co-founder & CEO
Former ML infrastructure lead at Meta. 10+ years building distributed systems at scale. PhD in Computer Science from Stanford.
Co-founder & CTO
Built search infrastructure at Google and Elastic. Expert in distributed systems and vector databases. MIT CSAIL alumni.
VP of Engineering
Previously at Spotify scaling recommendation systems. Specializes in high-performance computing and ML infrastructure.
Head of Product
Former PM at Pinecone and Weaviate. Passionate about developer experience and making complex technology accessible.
Principal ML Engineer
Research background in neural information retrieval. Published 20+ papers on vector similarity search. Ex-OpenAI.
What drives us to build better vector search
We obsess over developer experience. If it takes more than 3 lines of code, we've failed. Simple APIs, clear docs, zero configuration.
Accuracy matters. Our PCA indexing guarantees 100% recall because missing the right result is never acceptable.
No hidden fees, no usage surprises. You know exactly what you'll pay before you start. Storage-based pricing with unlimited queries.
Built for billions of vectors from day one. Our distributed architecture scales seamlessly across regions without complexity.
Enterprise-grade security by default. SOC 2 compliant, end-to-end encryption, and comprehensive audit logs.
We contribute to and learn from the community. Our success is built on the shoulders of open source giants.
We're always looking for talented engineers, designers, and product people who share our passion for making vector search simple and accessible.
View Open Positions →