Philterd

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Tell us about your stack and the privacy problems you're trying to solve. We typically respond within one business day.

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Please do not enter PII or PHI in this form. If you need to share an example, use a sanitized one.

PII redaction software, self-hosted by design

Self-Hosted PII Redaction Software — Open Source, Apache 2.0, Runs in Your Cloud

Most PII redaction tools route your sensitive data through a third-party API to scrub it - the architectural equivalent of putting the lock inside the burglar's house. Philter runs entirely inside your VPC, on the cloud you already use, with per-instance pricing that flattens out at volume.

  • Runs in your VPC - AWS, GCP, Azure, on-prem, or air-gapped
  • Per-instance pricing - $0.49/hr flat on AWS, not per-character SaaS
  • Open source & auditable - Apache 2.0, every line on GitHub
  • Production-ready - one-click deploy from the cloud marketplaces
Apache 2.0 Runs in your VPC No third-party API HIPAA / GDPR / CCPA ready

Production-tested across

  • Healthcare & life sciences
  • Banking & financial services
  • Legal & e-discovery
  • Government & public sector
  • AI / LLM workloads
  • Contact-center transcripts

Why teams pick Philter over the alternatives

Data stays in your perimeter

No third-party API, no multi-tenant managed service, no “just send us your text and we'll scrub it.” Sensitive data never leaves your account. Why this matters.

Predictable economics at scale

Per-instance billing, $0.49/hr on AWS Marketplace. The TCO math flips around 1M docs/month - AWS Comprehend at that volume runs ~$300k/mo; HA Philter runs ~$720/mo.

Hybrid detection: patterns + NLP

Regex and dictionaries catch the structured stuff fast; purpose-built NLP lenses catch the unstructured context where pattern rules fall down. Tune both surfaces with one policy file.

Full PII lifecycle, not just the redact call

Phinder finds where PII lives at rest; Phield monitors flow; Philter Scope scores policies against gold-standard datasets. One open source ecosystem, not nine vendor contracts.

Apache 2.0 - source-code transparent

The entire detection engine is open source under Apache 2.0. Audit the code, fork it, run it in air-gapped environments - no per-seat licenses, no vendor approval cycle, no “trust the black box.”

Deploys from AWS, GCP, or Azure marketplaces

One-click subscriptions on each major cloud marketplace, or self-host the source directly. Either way Philter runs inside your account - the marketplace path just shortens procurement.

What we’ll cover on the call

  • Your current stack: where PII lives, what you’ve already tried, where the gaps are.
  • The right deployment shape: marketplace, container, on-prem, air-gapped - with the trade-offs.
  • Comparison against what you’re evaluating: AWS Comprehend, Google DLP, Presidio, Private AI - an honest read of where each one fits and where Philter wins.
  • Cost picture: per-instance economics for your real volume, not a generic estimate.
  • A concrete next step: marketplace deploy, embedded engineering, or a no-go.

The call isn’t a demo. It’s a working session.

See if Philter fits your stack

30 minutes with Jeff. Bring your architecture, your constraints, your timeline. You'll leave with a concrete deployment plan - whether or not Philter ends up being the right answer.

Or deploy Philter yourself →