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What is Phala?

Phala is transforming AI deployment by offering a confidential compute architecture that protects sensitive workloads with hardware-level guarantees. Built on advanced TEE technology, Phala ensures that code, data, and model outputs remain private—even from administrators, cloud providers, and hypervisors. Its catalog of confidential AI models spans leaders like OpenAI, Google, Meta, DeepSeek, and Qwen, all deployable in encrypted GPU environments within minutes. Phala’s GPU TEE system supports NVIDIA H100, H200, and B200 chips, delivering approximately 95% of native performance while maintaining 100% data privacy. Through Phala Cloud, developers can write code, package it using Docker, and launch trustless applications backed by automatic encryption and cryptographic attestation. This enables private inference, confidential training, secure fine-tuning, and compliant data processing without handling hardware complexities. Phala’s infrastructure is built for enterprise needs, offering SOC 2 Type II certification, HIPAA-ready environments, GDPR-compliant processing, and a record of zero security breaches. Real-world customer outcomes include cost-reduced financial compliance workflows, privacy-preserving medical research, fully verifiable autonomous agents, and secure AI SaaS deployments. With thousands of active teams and millions in annual recurring usage, Phala has become a critical privacy layer for companies deploying sensitive AI workloads. It provides the secure, transparent, and scalable environment required for building AI systems people can confidently trust.

What is Anoni?

Anoni helps professionals harness the power of AI technology while ensuring the protection of confidential documents. Numerous industries such as legal, human resources, healthcare, accounting, consulting, and public administration often encounter difficulties in implementing AI tools due to the existence of personal and sensitive details within contracts, resumes, case files, patient records, and client documents. The conventional method of manually redacting this information can be labor-intensive, susceptible to errors, and might diminish the document's usability. To tackle these concerns, Anoni processes documents directly on the user's device, effectively identifying personal and confidential data, and subsequently anonymizing, pseudonymizing, or redacting it prior to any sharing, analysis, or AI application. Importantly, the documents remain securely stored on the user's machine, eliminating the need for cloud-based processing services. Originating from France, Anoni caters to users who prioritize privacy in AI-driven tasks, document evaluation, collaborative efforts, and data preparation activities. Its capabilities encompass local processing, customizable detection parameters, advanced pseudonymization methods, and the provision of detailed reports—all while ensuring the user's environment remains intact. This approach guarantees careful handling of sensitive information, facilitating seamless integration into efficient workflows. Moreover, Anoni empowers users to manage their data responsibly, allowing them to benefit from AI advancements without compromising confidentiality.

Media

Media

No images available

Integrations Supported

DeepSeek R1
Llama 3.1
Qwen2.5
Qwen3

Integrations Supported

DeepSeek R1
Llama 3.1
Qwen2.5
Qwen3

API Availability

Has API

API Availability

Has API

Pricing Information

$50.37/month
Free Version
Free Trial Offered?

Pricing Information

$0
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Phala

Date Founded

2019

Company Location

United States

Company Website

phala.com

Company Facts

Organization Name

Anoni

Date Founded

2026

Company Location

France

Company Website

anoni.dev/

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