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Description
Confer is a privacy-first AI chatbot developed by Signal founder Moxie Marlinspike to challenge the data practices of popular AI assistants. It mirrors the conversational experience of tools like ChatGPT while eliminating the risk of user data collection. Confer is built so that conversations cannot be accessed, stored, or monetized by the service itself. Messages are protected using WebAuthn-based encryption, ensuring secure communication between users and the AI. On the backend, all processing occurs inside a Trusted Execution Environment with remote attestation safeguards. The system uses open-weight AI models to handle a wide range of user queries. This approach makes Confer far more complex than traditional AI setups but significantly more secure. Users can safely discuss highly personal topics without worrying about surveillance or profiling. Confer offers a limited free tier for casual use. A paid plan unlocks unlimited access and more advanced capabilities for privacy-conscious users.
Description
Confidential AI offers a secure platform for private AI inference, agent environments, and confidential computing solutions tailored for AI laboratories, inference service providers, routers, and organizations that manage sensitive data. Its hosted inference service operates open-weight models within hardware-backed trusted execution environments (TEEs), utilizing technologies such as Intel TDX and AMD SEV-SNP confidential virtual machines, paired with NVIDIA GPUs in a confidential computing configuration. The system ensures that prompts, responses, and workload information remain safeguarded from infrastructure operators, allowing clients to authenticate attestation prior to submitting sensitive information. Users have the flexibility to implement an OpenAI-compatible API to establish inference endpoints and agent workloads, or alternatively, they can acquire the confidential-computing stack for deployment on their own premises, bare metal servers, or across major cloud platforms. This service is particularly beneficial for scenarios that involve serving models while restricting operator access to prompts and model assets, as well as executing sensitive AI workloads in a dedicated confidential computing environment. Additionally, the emphasis on robust security measures fosters trust in the processing of sensitive data, enabling clients to focus on innovation without compromising privacy.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
OpenAI
No
Pricing Details
$35/month
Free Trial
Yes
Free Version
Yes
Pricing Details
$0.20/1M input tokens
Cloud inference is metered per 1M tokens: DeepSeek V4 Flash costs $0.20 per 1M input tokens ($0.018 cached input) and $0.40 per 1M output tokens, invoiced monthly in arrears. GPU VMs are billed per GPU-hour; listed rates start at $1.90 per GPU-hour, depending on the GPU. Licensed software starts at $2,789 per GPU per year, invoiced monthly in arrears. Dedicated GPU VM orders have a $500 minimum and a three-month minimum term.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Confer
Website
confer.to/
Vendor Details
Company Name
Confidential AI
Founded
2025
Country
United States
Website
confidential.ai
Product Features
Product Features
Virtual Machine
Backup Management
No
Graphical User Interface
No
Remote Control
No
VDI
No
Virtual Machine Encryption
No
Virtual Machine Migration
No
Virtual Machine Monitoring
No
Virtual Server
No