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Contact Us

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

Prefer email? support@philterd.ai

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

Consulting

PII redaction, designed for your stack. You own it.

Bring in the team that built the software. We assess what you need and deliver an implementation plan, then either build it inside your own cloud or hand it to your engineers to build. Either way you end up with a system you own outright.

Our engagement process

Four steps, from the first call to a system you own.

Our engagement processFour steps, left to right: Intro call, then Discovery, then Implementation, then Handoff.Intro callLearn your requirementsDiscoveryAssessment and planImplementationWe build the designwhere your data livesHandoffYou own the running system Our engagement processFour steps, top to bottom: Intro call, then Discovery, then Implementation, then Handoff.Intro callLearn your requirementsDiscoveryAssessment and planImplementationWe build the designwhere your data livesHandoffYou own the running system

Intro call

A 30-minute call about what you need to protect and which regulations apply. No pitch, and if the open source toolkit alone is enough, we will say so.

Discovery

A few working sessions on your data, systems, and obligations. You keep the assessment and the implementation plan, whether or not we build it.

Implementation

We build the plan inside your own cloud, so your data never leaves your perimeter. Your engineers can work alongside us.

Handoff

You get the policies, the configuration, and a runbook to run it without us. We are here when you want us back.

See an engagement end to end: AI training-data de-identification, or the PHI risk assessment for healthcare apps.

Selected work

A few engagements we have delivered.

Bankruptcy filing redaction for a law firm

A law firm with no in-house engineers needed PII removed from federal bankruptcy filings under Rule 9037. We designed the redaction, stood up the AWS deployment, and handed back a system that redacts documents automatically as staff save them.

Read the case study →

Multilingual patient chatbot

Embedded real-time PII redaction into a bilingual (English/French) patient chatbot so sensitive information is stripped before messages reach human agents or analytics storage.

Read the case study →

EHR-to-database data pipeline

Deployed Philter inside an AWS data pipeline to de-identify clinical narrative text flowing from an EHR into an analytics database, enabling research access without HIPAA restrictions.

Read the case study →

How we plug in

A few common ways we plug in, from a full build to training models on your data. They are not the only shapes an engagement can take.

Setup and handoff

We stand up PII redaction in your own cloud, configure and validate it on your data, then hand you a running system you own. No in-house engineering team required. If you would rather build from the Discovery plan yourself, that works too.

Custom detection models

Off-the-shelf models miss the identifiers that matter most in your domain. We train specialized PII and PHI detectors on your data, measured against precision and recall you can put in front of an auditor.

Building on Philter for your own clients instead? See Philter for integrators and system builders.