Multi-location & local · Local & private AI

Local and private AI for multi-location operators

A multi-site operator has far more recorded calls than anyone will ever listen to. The reason leads are being lost is sitting in those recordings, unheard. Reviewing all of them is not a problem worth solving by hiring someone to review a sample.

Start a buildIndustry overview
04Self-hosted inference · Retrieval on private data
Local & private AI04
Self-hosted inferenceRetrieval on private dataDe-identification
Multi-location & localIllustrative

Local & private AI models

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

Local & private AI · Multi-location & localOne pairing of the matrix
Service
Local & private AI models
Industry
Multi-location & local
Covers
Franchises · Multi-site services · Senior living groups
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 multi-location & local. Strygon maps the specific system before proposing anything, but these are the ones worth checking for.

Siloed sites

Each location’s leads live in a different inbox, so there’s no single pipeline and no comparison across sites.

Listing sprawl

Local profiles and listings drift out of date location by location, quietly costing local search rank.

Friday spreadsheets

Roll-up reporting is a spreadsheet someone rebuilds every Friday, always a week behind.

Recurring in multi-location & localObserved 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
Every call, not a sampleLocal & private AI
01
Part of the scoped build

Every call, not a sample

Transcription and scoring across all locations instead of a spot check somebody does when there is time.

02Local & private AI
Patterns per siteLocal & private AI
02
Part of the scoped build

Patterns per site

Objections and missed opportunities surfaced by location, so coaching has something specific to point at.

03Local & private AI
Kept inside the groupLocal & private AI
03
Part of the scoped build

Kept inside the group

Customer conversations stay on infrastructure the operator controls across every site.

The approach for this pairingScoped in writing before work starts

What gets built

Concrete deliverables.

Everything in local & private ai models, applied to how multi-location & local 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

Multi-location operators do not have a lead problem. They have an ownership problem: a lead that could belong to three branches usually belongs to none of them.

Read the crm & automation read
Acquisition
Acquisition05
Paid search & socialLanding pages
Applied hereIllustrative

Acquisition

Spend across many locations gets managed as one account and judged as one number, which hides the fact that two locations are subsidizing the rest.

Read the acquisition read
Custom software
Custom software02
Internal toolsData pipelines
Applied hereIllustrative

Custom software

Roll-up reporting is where multi-location operators hit the end of configuration. The numbers exist, but they live in five systems that disagree about what a location is.

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

Web & commerce

Location pages carry the highest purchase intent on the site and are almost always the weakest pages on it.

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