Purpose-built models
Not a generic LLM. PhEye serves NLP models trained specifically for PII and PHI entity recognition — higher precision, faster inference, and a tiny fraction of the compute cost of an LLM at the same task.
Why PhEye
Domain lenses
Swap models per workload: a General Purpose lens for broad coverage, a Healthcare lens trained on clinical text, a COVID-19 lens for pandemic-era documents. Each lens is tuned for the entities that matter in its domain.
Runs in your VPC
Deploy PhEye alongside the data. Sensitive text never leaves your infrastructure — no third-party API, no model-provider account, no outbound dependency.
ONNX runtime
CPU-friendly inference via ONNX. No GPU required for most workloads — production deployments commonly run on the same instance class as the rest of the application stack.
Pluggable into Phileas and Philter
PhEye is the default model server for both Phileas and Philter — wire it in via configuration. Or call its HTTP API directly from anything that speaks JSON.
Confidence-aware
Every detection comes with a numeric confidence score between 0 and 100. Tune precision and recall by filtering at a threshold — accept everything above 75, drop everything below 50, decide policy by entity type.
Ready to use PhEye?
Three ways to get going — deploy the open source yourself, spin it up from a cloud marketplace, or work with our team directly. Pick the path that fits.