Healthcare & senior living · Local & private AI

Local and private AI for healthcare and senior living

Protected health information cannot sit in a marketing CRM or a third-party model, which is why most clinical intake automation stops at the front desk. Running the model on infrastructure the practice controls moves that line. The constraint was never the capability; it was where the data had to travel to reach it.

Start a buildIndustry overview
02Self-hosted inference · Retrieval on private data
Local & private AI02
Self-hosted inferenceRetrieval on private dataDe-identification
Healthcare & senior livingIllustrative

Local & private AI models

Self-hosted inference, fine-tuning, retrieval on private data, and de-identification.

Local & private AI · Healthcare & senior livingOne pairing of the matrix
Service
Local & private AI models
Industry
Healthcare & senior living
Covers
Telehealth · Senior living · Clinics & practices
Architecture
Unchanged from every other vertical — only the breaks differ
Engagement
A defined build, or run under management

What usually breaks

Before anything gets built.

The same failures recur across healthcare & senior living. Strygon maps the specific system before proposing anything, but these are the ones worth checking for.

PHI in marketing tools

Protected data ends up in ad platforms and CRMs that were never designed to hold it. That is a liability rather than a feature.

Manual eligibility

Eligibility and paperwork checks are done by hand, so intake is slow and staff time goes to data entry.

Broken handoff

The handoff from inquiry to clinical staff is an email and a hope, with no structured record behind it.

Recurring in healthcare & senior livingObserved pattern · the specific system still gets mapped

The approach

What Strygon does about it.

Local & private AI models, aimed at those failures specifically rather than at a generic checklist.

01Local & private AI
Inference that never leaves the buildingLocal & private AI
01
Part of the scoped build

Inference that never leaves the building

Self-hosted models handle intake summarization and document extraction on hardware the practice controls, with no call to a third-party cloud.

02Local & private AI
De-identification in front of anything externalLocal & private AI
02
Part of the scoped build

De-identification in front of anything external

Where an outside service is required, a de-identification layer sits in front of it, so what leaves is not protected information.

03Local & private AI
Retrieval over the practice’s own recordsLocal & private AI
03
Part of the scoped build

Retrieval over the practice’s own records

Answers are grounded in internal documents and cite them, instead of a general model guessing at a specific practice’s policies.

The approach for this pairingScoped in writing before work starts

What gets built

Concrete deliverables.

Everything in local & private ai models, applied to how healthcare & senior living actually runs.

All of local & private aiIndustry overview
Self-hosted / on-prem LLM and vision deployment
Fine-tuning, evaluation, and quantization pipelines
Retrieval (RAG) over private data
On-device and edge inference
De-identification and policy guardrails
In scopeScoped in writing before work starts

Also for this industry

Other parts of the same system.

CRM & automation
CRM & automation03
Pipeline architectureSpeed-to-lead
Applied hereIllustrative

CRM & automation infrastructure

In healthcare the handoff, not the lead, is the failure point. An inquiry that becomes an email to a clinician has no record, no owner, and no clock.

Read the crm & automation read
Custom software
Custom software02
Internal toolsData pipelines
Applied hereIllustrative

Custom software

The paperwork nobody markets: eligibility, prior authorization, and intake. It is where the hours go, and no configured CRM touches it.

Read the custom software read
Acquisition
Acquisition05
Paid search & socialLanding pages
Applied hereIllustrative

Acquisition

Standard ad pixels put protected data into platforms never built to hold it. Tracking has to be rebuilt before spend can scale safely.

Read the acquisition read
Web & commerce
Web & commerce04
Next.js buildsCommerce
Applied hereIllustrative

Web & commerce

A healthcare site collects sensitive information on the very first form. Where that form posts matters as much as how the page looks.

Read the web & commerce read

Start

Start with what’s broken.

Send the situation in a paragraph. Strygon comes back with a read on what’s likely wrong and what it would take to fix, before anyone talks about price.

Most builds start withleads dying in an inbox., three half-finished pipelines., follow-up nobody owns., numbers that never agree., four vendors blaming each other.

Or email hello@strygon.com

What to send
A paragraph. What broke, and where it shows up.
What comes back
A read on what is likely wrong and what fixing it takes.
Price
The last conversation, not the first