Related Products
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About
Anoni helps professionals use AI with confidential documents without exposing the information inside them.
Legal teams, HR departments, healthcare organizations, accountants, consultants, and public-sector teams often cannot send contracts, CVs, case files, patient information, or client records to AI tools because those documents contain personaland sensitive data. Manual redaction is slow, error-prone, and can make a document difficult to use.
Anoni solves this by processing documents locally on the user’s machine. It detects personal and confidential information, then anonymizes, pseudonymizes, or redacts it before the document is shared, analyzed, or used with AI. Documents are not uploaded to a cloud-processing service.
Anoni is built in France for privacy-conscious AI, document review, collaboration, and data-preparation workflows. It includes local processing, configurable detection, realistic pseudonymization, and locally generated reporting.
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About
Confidential AI provides private inference, private agents, confidential VMs and confidential computing infrastructure for AI labs, inference providers, routers, and organizations handling sensitive workloads. Its hosted inference service runs open-weight models in hardware-backed trusted execution environments (TEEs), including Intel TDX and AMD SEV-SNP confidential VMs with NVIDIA GPUs in confidential computing mode. Prompts, responses, and workload data are protected from infrastructure operators, and clients can verify attestation before sending sensitive input. Customers can use an OpenAI-compatible API to deploy inference endpoints and agent workloads, or license the confidential-computing stack for on-premises infrastructure, bare metal, and major clouds. Use cases include serving models while limiting operator access to prompts and model assets, and running sensitive AI workloads on dedicated confidential compute.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Legal, HR, Governement, Privately owned companies
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Audience
AI labs, inference providers, routers and regulated companies.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and VideosNo images available
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Screenshots and VideosNo images available
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Pricing
$0
Free Version
Supported
Free Trial
Not Supported
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Pricing
$0.30 per 1M input tokens
Confidential Inference (OpenAI-compatible API, per 1M tokens):
DeepSeek V4.1 Flash (live): $0.30 input, $0.03 cached input, $1.20 output. Kimi K3 (on request): $3.00 input, $0.30 cached input, $15.00 output. GLM 5.3 (on request): $1.40 input, $0.26 cached input, $4.40 output. Qwen3.8 27B (on request): $0.30 input, $0.03 cached input, $1.80 output. DeepSeek V4 Flash is no longer offered; DeepSeek V4.1 Flash is the current live model. Confidential GPU VMs (per GPU-hour, confidential computing mode): NVIDIA B300: $7.50 (available). NVIDIA B200: $6.50 (available). NVIDIA H100: $3.25 (on request). CPU VMs: $0.05 per core-hour plus $0.012 per GB-hour (AMD SEV-SNP and Intel TDX). Licensed stack (per GPU per year): RTX PRO 6000 $2,789; H100 $3,876; H200 $4,974; B200 $7,625; B300 $9,884. CPU core license $48.85 per core per year. Standard support included; Enterprise support 25% of total license price. Terms: minimum order $500. 50% on signed order, 50% on completion; monthly in arrears for longer engagements. USD by bank transfer (ACH or international wire). Card payments coming soon.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationAnoni
Founded: 2026
France
anoni.dev/
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Company InformationConfidential AI
Founded: 2025
United States
confidential.ai
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Categories |
Categories |
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Integrations
OpenAI
Not Supported
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