Recommend AI chatbots similar to Torry.io with a privacy/security focus

Here are several AI chatbots and services that emphasize privacy/security and offer functionality similar to Torry.io (private, end-to-end options, self-hosting or minimal data retention). Short notes on what makes each privacy-focused and what to check before you rely on them.

1. PrivateGPT (local/self-hosted)

• What it is: A collection of tools and guides to run LLMs locally on your machine so queries never leave your device.
• Privacy focus: Local-only inference; no cloud transmission if configured that way.
• Check: Model size vs. hardware; you’re responsible for updates, security patches, and model licensing.

2. Ollama

• What it is: A local inference platform for running LLMs on your Mac/PC with an API-like interface.
• Privacy focus: Models run locally by default; no cloud storage of prompts.
• Check: Supported models and hardware requirements; enterprise options for controlled deployment.

3. PrivateStack / On-premise deployments of OpenAI-compatible models (e.g., via Replicate, Hugging Face Inference on private infrastructure)

• What it is: Host open models (Llama 2, Mistral, Falcon) in your own cloud/VPC so data stays within your network.
• Privacy focus: Full control over data retention and access controls when self-hosted.
• Check: Requires ops expertise; be sure to configure encryption, logging, and access policies.

4. Hugging Face Infinity / Inference API with Private Endpoints

• What it is: Hosted inference for many models, with options for private endpoints or enterprise isolation.
• Privacy focus: Private inference endpoints and contractual controls (enterprise plans).
• Check: Read the enterprise contract for data usage/retention terms.

5. Anthropic Claude (Enterprise + Private Deployment options)

• What it is: Commercial chatbot models with enterprise-grade deployment options.
• Privacy focus: Offers contractual data protection and enterprise deployment features that avoid using prompts for model training.
• Check: Enterprise plan required for strict data commitments.

6. Mistral / Mistral-Inference (self-hosted or private cloud)

• What it is: Open and open-weight models that can be run on private infrastructure.
• Privacy focus: Self-hosting ensures prompt data never leaves your control.
• Check: Hardware needs, licensing.

7. Cohere (Private endpoints / enterprise)

• What it is: Large-model provider with enterprise isolation and private inference options.
• Privacy focus: Private endpoints and contractually limited data use for enterprise customers.
• Check: Enterprise-level plan and review the data processing addendum.

8. Perplexity Enterprise / Enterprise privacy modes

• What it is: Conversational search/assistant with enterprise privacy controls in paid tiers.
• Privacy focus: Business agreements that can restrict data usage and retention.
• Check: Feature availability depends on plan.

9. Self-hosted chat stacks (e.g., RAG + local LLM: LangChain + local model + vector DB on private infra)

• What it is: Build-your-own assistant: local LLM for inference, local vector DB (Milvus, Chroma) and LangChain-like orchestration.
• Privacy focus: Full control over data flow and storage.
• Check: Engineering effort; ensure secure key management, TLS, and least-privilege access.

10. Tecton / Private LLM platforms (vendor-specific)

• What it is: Several vendors provide private LLM-hosting platforms tailored to enterprises (search “private LLM platform”).
• Privacy focus: Designed for regulatory compliance, VPC isolation, and SIEM integration.
• Check: Vendor contracts, certifications (SOC2, ISO), and integration support.

How to evaluate privacy claims (quick checklist)

• Where is inference performed? (Local / private cloud / vendor cloud)
• Is prompt data logged or used for training? Check the data usage policy or DPA.
• Are there private endpoints or VPC options for enterprise use?
• Do they provide encryption in transit and at rest, access controls, and audit logs?
• What certifications or contractual guarantees (DPA, SOC2, ISO) are available?
• Licensing limits on models (some open weights still have use clauses).

If you tell me whether you prefer (a) fully local desktop, (b) self-hosted on your cloud, or (c) a hosted vendor with strict enterprise privacy, I can give a shorter list tailored to that environment and provide setup pointers.