Confident Security
Confident Security, founded in 2025 in San Francisco, provides CONFSEC, an enterprise-grade AI inference platform that delivers verifiably-private interactions with leading LLMs via Confidential Computing, serving regulated industries including healthcare, financial services, legal, government, and B2B SaaS.
- Company typePrivate
- Founded2025
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Confident Security does
Confident Security is a San Francisco-based, venture-backed startup founded in 2025 that builds CONFSEC, an enterprise-grade AI inference platform delivering verifiably-private interactions with large language models. The company's core technical premise is that conventional self-hosting and vendor-side policies are insufficient for regulated workloads, and that privacy guarantees must be cryptographically enforceable and remotely auditable. CONFSEC implements Confidential Computing primitives including Oblivious HTTP (OHTTP), Remote Attestation, Trusted Platform Module (TPM), Transparency Logs, Secure Boot with Hardened OS, Confidential VMs, and Reproducible Builds, with architectural lineage to Apple's Private Cloud Compute (PCC). The platform is exposed as an OpenAI-compatible REST API with Python and Node.js SDKs and a CLI tool, supporting multiple open-source models (Mistral 7B, Llama 4 Scout, DeepSeek R1 70B, Gemma 3 27B, Qwen 3 30B, Nomic Embed) and supporting custom-model hosting.
The company monetizes through usage-based token pricing, with rates pinned to approximately 2x current market prices per model, and through enterprise on-premise licensing for organizations that need to offer confidential inferencing inside their own environment. Distribution is product-led and API-first, complemented by an open-source ecosystem play via OpenPCC, released in November 2025 as a community standard developed collaboratively with engineers from Databricks and Apple. Target customers are organizations in regulated verticals, primarily healthcare (HIPAA, HITECH), financial services (PCI DSS, FINRA, KYC), legal, government, and enterprise B2B SaaS, as well as hyperscalers and AI vendors needing verifiable privacy guarantees for their enterprise customers. The company exited stealth in July 2025 with a $4.2 million seed round led by Decibel Partners and joined the Nvidia Inception Program, Cloud Security Alliance, and Confidential Computing Consortium.
Confident Security firmographics
Firmographics- Name
- Confident Security
- Legal name
- Confident Security
- Website
- https://confident.security
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Confident Security, founded in 2025 in San Francisco, provides CONFSEC, an enterprise-grade AI inference platform that delivers verifiably-private interactions with leading LLMs via Confidential Computing, serving regulated industries including healthcare, financial services, legal, government, and B2B SaaS.
- Ownership category
- akta.pro rank
Confident Security industry classification
Industry- Product category
- Private AI Inference Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI)
Keywords
Where Confident Security is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Confident Security business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales
Revenue model
- Token-based API Usage: Usage-based pricing where customers pay per million tokens processed through the secure AI inference API. Supports multiple LLM models including Mistral 7B, Llama 4 Scout, DeepSeek R1, Gemma 3, Qwen 3, and Nomic Embed with separate input/output token pricing.
- On-premise Licensing: License the Confident Security software for on-premise deployment to offer confidential inferencing to customers directly. Contact sales for enterprise licensing terms.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Monthly | Usage-based token pricing across multiple LLM models |
| Subscription | Annual | On-premise enterprise licensing |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels6 records
Confident Security product offering
Product offeringCore offering
Confident Security provides CONFSEC, an enterprise-grade secure and private AI inference platform built on OpenPCC, an open-source standard for verifiably-private AI inference. The platform delivers OpenAI-compatible API access to leading LLMs with end-to-end encryption, confidential computing technologies, and remote attestation, ensuring prompts and responses are never stored, logged, used for training, or accessible to operators. It targets regulated industries (healthcare, FinTech, legal, government) and AI vendors requiring HIPAA, PCI DSS, GDPR, and SOC 2 compliance guarantees.
Product overview
Confident Security offers a unified product portfolio centered on CONFSEC, an enterprise-grade secure and private AI inference platform, and OpenPCC, an associated open-source standard for verifiably-private AI interactions. The product ecosystem includes CONFSEC CLI for terminal-based interaction, plus Python and Node.js SDKs for developer integration. Together, these products enable organizations to use leading LLMs with end-to-end encryption and privacy guarantees that surpass legal standards, preventing data from being stored, seen, or used for training.
Differentiator
Problem solved
Functional benefit
Brands
- CONFSEC: An enterprise-grade secure and private AI inference platform that utilizes end-to-end encryption and private cloud architecture to protect user data in AI applications.
- OpenPCC
Products and services
- CONFSEC CONFSEC is an enterprise-grade secure and private AI inference platform that provides verifiably-private interactions with AI models through end-to-end encryption and confidential computing. It exposes an OpenAI-compatible API to leading LLMs (Mistral, Llama, DeepSeek, Gemma, Qwen, Nomic Embed) with guarantees that data is never stored, logged, used for training, or shared with third parties.
- OpenPCC (Open Privacy-Preserving Cloud) OpenPCC is an open-source standard for private AI inference that ensures all AI interactions are verifiably-private. Developed with engineers from Databricks and Apple, it provides encryption and standardized protocols (Oblivious HTTP, Blind Signatures, Remote Attestation, TPM, Transparency Logs, Confidential VMs, Reproducible Builds) for secure LLM interactions.
- On-premise CONFSEC Deployment Licensed deployment of the CONFSEC software for on-premise installation, enabling enterprises and AI vendors to offer confidential AI inferencing to their own customers directly within their infrastructure.
Quantifiable outcome
- Data guaranteed to never be used in training AI models
- +4 more outcomes
Companies that use Confident Security
Customer profileSegments6 records
Ideal customer profiles5 records
Confident Security technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability2 records
Feature9 records
Confident Security partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core and minor.
- DatabrickscoreDatabricks engineers collaborated with Confident Security on the development of OpenPCC, the open-source standard for private AI inference. This partnership contributed technical expertise to the privacy-preserving architecture.
- ApplecoreApple engineers collaborated on OpenPCC development. Confident Security's architecture is based on principles and design of Apple's Private Cloud Compute (PCC) system, which millions of users rely on for private AI features.
- Nvidia Inception ProgramminorConfident Security is a member of the Nvidia Inception Program, which supports cutting-edge AI startups.
- Cloud Security AllianceminorConfident Security is a member of the Cloud Security Alliance, an organization dedicated to defining and raising awareness of best practices for secure cloud computing.
- Confidential Computing ConsortiumminorConfident Security is a member of the Confidential Computing Consortium, a Linux Foundation project focused on securing data in use through confidential computing technologies.
Scale indicators1 record
Recent moves6 records
Expansion highlights6 records
Confident Security competitors and assessment
Company assessmentBroad incumbents
- Apple Private Cloud Compute: Apple's own confidential-AI inference architecture that CONFSEC explicitly mirrors. Apple PCC sets the design blueprint and ships PCC-backed AI features at consumer scale, representing both the reference standard and a potential competitor.
- AWS Nitro Enclaves: AWS's hardware-isolated compute environments for processing sensitive data within EC2, including AI workloads with attestation. A broad incumbent offering TEE-based confidential compute that competes with CONFSEC for enterprise AI privacy buyers.
- Microsoft Azure Confidential Computing: Azure's TEE-based confidential VM and confidential AI inference offering within Azure OpenAI Service. Competes head-to-head with CONFSEC on attestation-verifiable AI privacy but bundles with broader Azure enterprise contracts.
- Google Confidential VMs: Google Cloud's Confidential VMs based on AMD SEV and Intel TDX, supporting confidential AI workloads and Vertex AI integrations. Comparable confidential-compute infrastructure competing for the same regulated AI inference customers.
Direct peers
- Anjuna Security: Enterprise confidential-computing platform that wraps workloads in hardware TEEs for verifiable runtime protection. Comparable to CONFSEC in providing attestation-based guarantees and competing for similar regulated workloads.
- Opaque Systems: Confidential AI and analytics platform built on TEEs and cryptographic enclaves, offering secure multi-party computation for AI workloads. Directly comparable to CONFSEC in confidential AI inference and analytics use cases.
Emerging players
- Phala Network: Decentralized confidential-computing network providing TEE-based AI inference and agent execution. Overlaps with CONFSEC on confidential AI inference but distributes infrastructure across a decentralized node network.
- Enveil: Privacy-enhancing technology company offering secure search, analytics, and AI inference using homomorphic encryption and secure enclaves. Directly competes with CONFSEC in privacy-preserving AI inference for regulated industries.
- TripleBlind: Privacy-preserving AI company enabling secure data collaboration and model inference through cryptographic and hardware-based techniques. Overlaps with CONFSEC on verifiable privacy guarantees for AI workloads in healthcare and finance.
- Oasis Network: Layer-1 blockchain with confidential computing (Trusted Execution Environments) for private smart contracts and AI workloads. Comparable in confidential AI compute but delivers it through a decentralized network rather than an enterprise API.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Confident Security social profiles
Digital presenceConfident Security compliance and trust
Trust signalCompliance7 records
Confident Security financial estimates
Financial estimateRevenue estimate
Valuation estimate
Confident Security leadership team
Management profileNumber of profiles
Profiles1 record
Confident Security funding detail
Funding detailFunding overview
Funding rounds1 record
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Confident Security M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Confident Security
What does Confident Security do?
Confident Security provides CONFSEC, an enterprise-grade secure and private AI inference platform built on OpenPCC, an open-source standard for verifiably-private AI inference. The platform delivers OpenAI-compatible API access to leading LLMs with end-to-end encryption, confidential computing technologies, and remote attestation, ensuring prompts and responses are never stored, logged, used for training, or accessible to operators. It targets regulated industries (healthcare, FinTech, legal, government) and AI vendors requiring HIPAA, PCI DSS, GDPR, and SOC 2 compliance guarantees.
Is Confident Security a public or private company?
Confident Security is a private company. It is classified as venture growth investor backed and is currently operating.
When was Confident Security founded?
Confident Security was founded in 2025. It employs 1 to 10 people.
Where is Confident Security based?
Confident Security is headquartered in San Francisco, United States, in the North America region.
How does Confident Security make money?
Two revenue lines are on record. Token-based API Usage is the primary driver. The others are on-premise Licensing.
Who are Confident Security's main competitors?
Broad incumbents on record are Apple Private Cloud Compute, AWS Nitro Enclaves, Microsoft Azure Confidential Computing and Google Confidential VMs. Direct peers are Anjuna Security and Opaque Systems. Emerging players are Phala Network, Enveil, TripleBlind and Oasis Network.
Does Confident Security have an API?
Yes. CONFSEC provides an OpenAI-compatible API for secure and private AI inference. The API enables developers to make AI inference requests that are verifiably private and secure. Authentication uses API keys (CONFSEC_API_KEY environment variable) combined with OpenID Connect (OIDC) configuration for identity verification. The API supports standard chat completions and completions endpoints. Documentation available at docs.confident.security. Developer documentation is at docs.confident.security.
What industry is Confident Security in?
Confident Security's product category is Private AI Inference Platform. Its primary akta.pro industry code is HDAAAKAI, Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs). Its NAICS code is 518210 and its SIC code is 7372.