CyborgDB Features

CyborgDB is the end‑to‑end–encrypted vector database built for regulated industries. Deploy in minutes, search hundreds of millions of vectors with sub-millisecond latency, and meet the world's toughest compliance regimes without exposing a single byte of plaintext.

Encrypt Everything

Zero‑plaintext execution from ingestion to query

Every object — vectors, metadata, keys — is encrypted before it touches the network or external services. Queries execute inside a confidential enclave, so neither our service nor your cloud provider ever sees plaintext.

End‑to‑end AES‑GCM encryption for data
Encrypted indexing & retrieval — no plaintext embeddings leave memory
Forward secrecy with per‑record re‑keying
Ready for Confidential Computing deployments

Built for Compliance

Reduce Complaince Burden for AI Applications

CyborgDB ships with the controls auditors look for — historical logs, key segregation, and encryption validated to government standards — so you can pass security reviews instead of rewriting them.

Helps with HIPAA, GDPR, and FedRamp controls
FIPS 140‑3 validated crypto modules
Fine‑grained RBAC via AWS, GCP & Azure KMS

Scalable Performance

100K QPS on 100 M encrypted vectors

No need to choose between security and speed. CyborgDB's CUDA‑accelerated ANN algorithms keep encrypted searches at sub-millisecond latency — even at billion‑vector scale.

CUDA‑accelerated ANN for high-speed encrypted search
High‑recall encrypted index with dynamic ingestion
Horizontal scaling with completely-distributed architecture

Integrate in Minutes

Works with the stack you already run

Whether you're adding semantic search to Postgres or piping embeddings from an LLM, our SDKs and connectors get you deploying Confidential AI applications in minutes.

Drop‑in connectors for Postgres, AWS RDS, Redis and more
SDKs for Python, JavaScript/TypeScript & C++
Simple REST APIs for any language
Built‑in RAG & LLM orchestration helpers

Ready to build secure,
scalable AI?