CyborgDB is an encrypted vector database that lets regulated enterprises run AI search on data that stays confidential.
Enterprises adopting AI move embeddings and documents into infrastructure they do not fully control, where a breach or an operator can expose the underlying data. CyborgDB answers that with a vector database that searches ciphertext directly: approximate nearest-neighbour search runs on encrypted embeddings, per-field keys stay with the customer in their own KMS or HSM, and only the final candidates are decrypted.
Where mainstream vector databases such as Qdrant, Weaviate, Milvus, and pgvector encrypt at rest and then decrypt to search, CyborgDB keeps encryption intact through the query with IVF and HNSW indexes, encrypted metadata filtering, and hot or cold tiers. It ships as a self-hosted embedded library, a REST microservice, and SDKs rather than a managed service.
| Attribute | CyborgDB | Milvus | Qdrant Vector Database | Weaviate | |
|---|---|---|---|---|---|
| Provider | |  |  |  | |
| Founded | 2013 | 2017 | 2021 | 2019 | |
| Sells To | Enterprise | Enterprise | — | — | |
| Pricing Model | B2B Subscription | Recurring, Software | — | — | |
| Ownership | Private | Venture-backed | Venture-backed | Venture-backed |
Founded 2013
Sells To Enterprise
Pricing Model B2B Subscription
Ownership Private
Provider
Founded 2017
Sells To Enterprise
Pricing Model Recurring, Software
Ownership Venture-backed
Provider
Founded 2021
Sells To —
Pricing Model —
Ownership Venture-backed
Provider
Founded 2019
Sells To —
Pricing Model —
Ownership Venture-backed
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