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Cyborg

Cyborg

Cyborg lets regulated enterprises run AI vector search and storage on encrypted data.

Operating headquarters
New York, NY, US🇺🇸
Founded
2013
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Contents

  1. 01Market Outlook
  2. 02Competitive Strengths
  3. 03Competitive Risks
  4. 04Pricing Strategy
  5. 05Customer Acquisition
  1. 01Market Outlook
  2. 02Competitive Strengths
  3. 03Competitive Risks
  4. 04Pricing Strategy
  5. 05Customer Acquisition

Market Outlook

Regulation and the AI build-out both push in favour of Cyborg. As regulated enterprises move sensitive data into AI pipelines, at-rest-only encryption leaves plaintext exposed during search, and the 2026 NVIDIA cuVS work on confidential vector search shows the GPU stack accommodating the confidential-computing approach rather than displacing it.

The trajectory of Cyborg turns on regulation staying strict and on it finishing its certifications. It now runs a three-product line — CyborgDB, Stealth, and File Share — was one of eight companies NVIDIA invited to author the Enterprise RAG Blueprint, and took an iGan Partners investment in May 2025, with FedRAMP Moderate in process toward the government and defence buyers it targets.

Source: developer.nvidia.com

Competitive Advantages

The decisive edge of CyborgDB over at-rest-only vector databases is that its encryption holds through the query itself: it searches ciphertext directly, and its per-field keys remain under customer control in their own KMS or HSM, so the operator sees neither plaintext nor keys. Rivals that encrypt only at rest — Qdrant, Weaviate, Milvus, and pgvector — must decrypt before they can search.

That security does not cost throughput. On the 2026 wiki-all-1M benchmark at 768 dimensions and top-k=10, CyborgDB v0.17.0 sustained 220 queries per second, ahead of Weaviate v1.37.0 at 214 and far ahead of Qdrant v1.17.1 at 47 on the same ann-benchmarks harness. Because it ships self-hosted into the customer VPC, that lead compounds instead of depending on vendor cloud terms.

Source: cyborg.co

Competitive Disadvantages

Cyborg gives up convenience against the managed incumbents. CyborgDB ships only as an embedded library, a self-hosted REST microservice, and language SDKs, so a buyer who wants the turnkey managed service of Pinecone, Zilliz Cloud, or Elastic Cloud has no Cyborg equivalent, and Cyborg deliberately leaves the encrypted-in-use managed cell empty. Every deployment assumes infrastructure the customer must run.

Its maturity gate is also still open. CyborgDB is a young line whose first public release, Cyborg Vector Search v0.7.0, landed in late 2024, and its compliance set is unfinished: SOC 2 Type II, HIPAA, and GDPR are ready while ISO 27001 and FedRAMP Moderate remained in progress in 2026. A regulated buyer that requires a completed FedRAMP authorization cannot yet adopt it.

Source: cyborg.co

Pricing Strategy

Cyborg prices below the confidentiality field by giving the entry tier away and metering only usage. The CyborgDB Free plan covers up to one million encrypted embeddings at no cost, and the Standard plan runs $90 per month plus $5 per million operations with self-serve signup, which prices the model on volume rather than per seat. Enterprise is custom-priced through Contact Sales.

Metering frames the comparison with managed rivals rather than matching it. Pinecone and Zilliz Cloud fold hosting into one bill, while Cyborg charges for the software and leaves infrastructure to the customer, so the real comparison turns on the cloud costs the customer already carries. Its air-gapped Enterprise tier, sold only through a sales conversation, targets buyers who can use no public cloud at all.

Source: cyborg.co

Customer Acquisition

Cyborg wins buyers by letting them evaluate without a sales call and routing the serious ones to an enterprise motion. Self-serve signup on the Free and Standard CyborgDB tiers lets a regulated-industry engineer test encrypted search before procurement, while air-gapped and custom deployments close only through Contact Sales.

Its reach is earned rather than bought. Cyborg ran zero Google text ads for cyborg.co in 2026, so demand is pulled by the NVIDIA developer blog, the Cyborg Enterprise RAG Blueprint it co-authored in November 2025, and press coverage such as the iGan Partners announcement in May 2025, not by paid acquisition.

Source: adstransparency.google.com