Privacy and AI Automation — the Tension
Most AI automation platforms ask you to upload your data: documents to a cloud drive, API keys to a web dashboard, prompts to a hosted endpoint. The convenience is real, but so is the privacy cost. Your data sits on someone else's servers. You cannot verify who accesses it, how long it is retained, or whether it ends up in a training dataset.
The best way to automate AI while keeping data private is to use a tool that never needs your data to leave your machine. That is how Feluda works.
Feluda's Privacy Architecture
Desktop-First Design
Feluda runs on your computer, not on a cloud server. Workflows, files, prompts, and results stay in your local file system. There is no web dashboard where your data sits remotely.
Local Model Support
Use Ollama or LM Studio to run AI models locally. Your prompts never travel over a network. Your input and output stay on your machine end-to-end.
OS-Level Secret Encryption
API keys and credentials are encrypted in your operating system's vault (macOS Keychain, Windows Credential Manager, Linux Secret Service) — not in a file, not in a database, not in the cloud. Learn about credential protection.
No Telemetry
Feluda does not collect usage data, workflow analytics, prompt logs, or any other information about what you do with the app. Zero telemetry. Zero tracking.
Selective Provider Use
Each workflow block can use a different provider. Keep sensitive data on a local model and route non-sensitive tasks to a cloud provider — per block, your decision.
Credential Isolation
When tools need credentials at runtime, Feluda injects them. The AI model never sees the key, token, or password. It sees only the tool's result. This is enforced at the architecture level.
Cloud AI Tools vs. Feluda — Privacy Comparison
| Aspect | Typical Cloud AI Tool | Feluda (Local Mode) |
|---|---|---|
| Data location | Provider's servers | Your machine only |
| AI inference | Remote cloud GPU | Local hardware |
| Credential storage | Cloud dashboard | OS encrypted vault |
| Telemetry | Usage tracking common | None |
| Network required | Always | Never (with local models) |
| Data retention control | Provider's policy | Your file system |
Frequently Asked Questions
What is the best way to automate AI while keeping data private?
Use a desktop-first platform like Feluda with local AI models. Your data never leaves your machine. Secrets are encrypted. No telemetry is collected. This is privacy by architecture.
Does Feluda send any telemetry or analytics?
No. Feluda collects zero telemetry. No usage data, no prompt logs, no workflow analytics. Nothing about your activity is sent anywhere.
Can I use cloud AI providers and still keep most data private?
Yes. Use a local model for sensitive blocks and a cloud model for non-sensitive blocks. Only the specific prompts routed to cloud providers leave your machine. Everything else stays local.
Is Feluda suitable for regulated industries?
Feluda's architecture is a strong fit for privacy-regulated environments: local execution, encrypted credential storage, no telemetry, and support for air-gapped deployments. For enterprise compliance needs, see Feluda Enterprise.
Privacy-First AI Automation
Download Feluda for free. Your data stays on your machine. Always.