CompaniesInvestorsPeople
Home
Loading

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

Get in Touch

  • Contact

  • Request a Demo

  • Request Data Updates

  • Add a Company

Research

  • Companies

  • Investors

  • People

aVenture

  • Download App

  • Pricing

Download the aVenture Research beta for iOS and iPadOSDownload aVenture Research on the Mac App Store

Resources

  • Documentation

  • Use Cases

  • CLI

  • MCP

  • Feature Requests

  • Sitemap

Member

Backed by

Ask AI about aVenture

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy · Terms of Service

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

Loading
Home›
Companies›
Cyborg›
Library
Cyborg

Cyborg

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

Operating headquarters
New York, NY, US🇺🇸
Founded
2013
Loading
Overview
Analysis
Compare
Employees
News
Library

Cyborg - Library

cyborg.co·Crawled Oct 9, 2026·

Topics

Publication type

Content origin
Row density

Product

4 pages
  1. CyborgDB — The Encrypted Vector Database/cyborgdb

    Similarity search directly on encrypted data — self-hosted in your VPC or on-prem. Stays encrypted during search; only the final candidates are decrypted.

  2. Performance/performance
  3. Solutions by Industry/solutions-industries

    Confidential AI for healthcare, financial services, legal, government & defense, and biometric verification — five deployment patterns on one encrypted architecture.

  4. Solutions by Use Case/solutions-use-cases

    Six confidential-AI workloads on one encrypted index — RAG, agent memory, biometric search, multi-tenant isolation, cross-org PSI, and private embeddings.

Blog

6 pages
  1. AI Espionage: Why Vector Database Security Just Became Mission-Critical/blog/ai-espionage

    Anthropic disrupted the first AI-orchestrated cyber espionage campaign — and centralized vector databases are now the highest-value target in the new threat landscape.

  2. AI Has a Memory Problem. We're Fixing It./blog/ai-memory

    Every enterprise AI runs on a vector memory layer that everyone is racing to make faster — and almost nobody is asking what happens when that memory gets compromised.

  3. Ciphering Intelligence: The Future of AI Encryption/blog/ciphering-intelligence-future-ai-encryption

    Nicolas Dupont joins Robotics & AI Infrastructure Leaders to discuss how encryption is evolving to meet the demands of modern AI systems — and why confidentiality must be built in from the ground up.

  4. Confidential Computing Summit 2025: The Missing Piece for Confidential AI/blog/cc-summit-2025

    Nicolas Dupont's talk from the 2025 Confidential Computing Summit on why confidential vector databases are the missing layer in any serious confidential AI stack.

Pricing

1 page
  1. CyborgDB Pricing/pricing

    CyborgDB pricing — free up to 1M encrypted embeddings, $5 per 1M operations on Standard, custom Enterprise plans for regulated and air-gapped deployments.

About

1 page
  1. About/about

    Cyborg is building the cryptographic foundation for confidential AI — encrypted vector search, end-to-end encrypted collaboration, and the primitives that make 'don't trust the cloud' a real engineering choice.

Contact

2 pages
  1. Contact/contact

    Questions about a product, a security review, or a deployment? We usually reply within one business day.

  2. Request a demo — CyborgDB/demo

Homepage

1 page
  1. Homepage/

    CyborgDB delivers billion-vector search on tiered storage, metadata filtering that works under real query patterns, and cryptographic tenant isolation — not just namespaces.

Privacy

1 page
  1. Privacy Policy/privacy

    Cyborg privacy policy. What we collect, how we use it, and what we never see.

Terms & Conditions

1 page
  1. Terms of Service/terms

    Cyborg terms of service.

Coverage

8 items
  1. cyborgincgithub.com/cyborginc

    GitHubRepository owner

  2. Blueprint: Secure RAG Workflows Without Sacrificing AI Performancecyborg.co/blog/nvidia-blueprint/

    Cyborg makes its Enterprise RAG Blueprint available on build.nvidia.com. The blueprint pairs CyborgDB encryption-in-use with NVIDIA Nemotron and NeMo Retriever for secure, high-performance enterprise RAG workflows.

    Nov 2025 · CyborgNews article

  3. Starting Our Open Source Journeycyborg.co/blog/starting-our-open-source-journey/

    CyborgDB begins open-sourcing its client SDKs for Python, TypeScript, JavaScript, and Go. The company says it will open-source the service layer later this year.

    Oct 2025 · CyborgNews article

  4. Secure AI Inference Pipelines: Building End-to-End Private RAG with Cyborg & Protopia AIprotopia.ai/private-test-secure-ai-inference-pipelines-building-end-to-end-private-rag-with-cyborg-protopia-ai/

    Cyborg and Protopia AI present an approach to building end-to-end private RAG inference pipelines. The approach aims to let enterprises use their data without exposing it during retrieval or inference.

    Sep 2025 · ProtopiaNews article