Home services & trades · Local & private AI

Local and private AI for home services and trades

Home services generates a lot of recorded calls, job photos, and addresses. Most AI tooling handles that by shipping it to a third party and hoping nobody asks. Running the model on hardware the business controls keeps it in-house, and the cost stops scaling with how much you use it.

01Self-hosted inference · Retrieval on private data
Local & private AI01
Self-hosted inferenceRetrieval on private dataDe-identification
Home services & tradesIllustrative

Local & private AI models

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

Local & private AI · Home services & tradesOne pairing of the matrix
Covers
Roofing · Painting · HVAC & electrical · Auto detailing
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 home services & trades. Strygon maps the specific system before proposing anything, but these are the ones worth checking for.

Missed calls

A missed call is a lost job. Calls, forms, and chats land in three places and no one owns the first response.

No speed-to-lead

The lead sits until someone checks the inbox. By then a competitor already booked the estimate.

Whiteboard ops

The schedule and pipeline live on a whiteboard and a phone. Nobody can say what a lead costs or what closed.

Recurring in home services & tradesObserved 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
Calls summarized without leavingLocal & private AI
01
Part of the scoped build

Calls summarized without leaving

Recorded calls are transcribed and summarized on the business’s own infrastructure, so customer conversations stay in the building.

02Local & private AI
Photos that become estimatesLocal & private AI
02
Part of the scoped build

Photos that become estimates

Vision models read job photos and draft the line items, which turns a site visit into a quote before the truck is back.

03Local & private AI
No per-token meterLocal & private AI
03
Part of the scoped build

No per-token meter

Self-hosted inference costs what the hardware costs. Volume stops being a monthly budget conversation.

The approach for this pairingScoped in writing before work starts

What gets built

Concrete deliverables.

Everything in local & private ai models, applied to how home services & trades actually runs.

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.

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.

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