Phaeth's privacy story is structural: the pipeline runs on your hardware, only encrypted structural metadata reaches the AI layer, and no LLM is ever in the inference path. Here's exactly what does and doesn't leave your environment.
When Phaeth's AI agent plans your pipeline, it needs to know what your data looks like, not what's in it. We send the structural skeleton (column names, types, statistical summaries) so the agent can reason. The rows themselves are processed on your machine and never sent anywhere.
// raw rows never leave your machine
Your laptop, your on-premises server, or your private cloud. Phaeth is a piece of software you run, not a SaaS that ingests your data.
The AI planning layer sees column names, data types, and statistical summaries. It does not see your rows or values. The router enforces this.
The agent proposes; you decide. Pipelines pause for confirmation at join plans, feature engineering, and target derivation. No silent transformations.
Every trained model is captured as a deterministic recipe. Same inputs, same hash, same predictions: replayable byte-for-byte, forever.
The AI agent plans the pipeline: it decides which columns to use, which model to pick, which features to engineer. Once the model is trained, that plan is captured deterministically and the model runs without any LLM in the loop. Predictions are produced by classical ML algorithms with hash-verifiable parameters.
This is what makes Phaeth's predictions reproducible, auditable, and safe to deploy in regulated environments. It is also why we can ship the recipe to a compliance team and say: replay it yourself, the bytes will match.
The trained model is a portable artefact. You pick where it runs, and you can change your mind without retraining.
Stay on your laptop or workstation. Best for development, privacy-sensitive data, and small-to-medium datasets.
Push the recipe to your infrastructure: on-premises, private cloud, or air-gapped. Best for team access and production workloads on regulated data.
We host the twin and run live ingestion for you. Best when you want always-on alerts and an API without operating the infrastructure yourself.
The combination of local-first execution, metadata-only routing, and hash-verifiable recipes makes Phaeth natively compatible with the requirements of SOC2, GDPR, and HIPAA-adjacent workflows. Self-hosted deployment is the recommended path for regulated environments: you control the data plane completely.
For specific compliance attestations or to discuss a regulated deployment, reach out at [email protected].
Open the app and see for yourself: nothing in your environment leaves it.