Industry · AI support for smoke and CO detectors

No more 3am chirps without sleep loss

A chirping smoke detector at 3am is the most universal home support call. helpcode.ai identifies the model, explains the chirp pattern, walks through battery, dust and end-of-life — without paging a fire-safety pro.

Hosted in the EU GDPR

Three problems specific to this sector

01

Customers call fire safety for chirping detectors

Customers call fire safety for chirping detectors

02

Wrong battery type bought again and again

Wrong battery type bought again and again

03

End-of-life confused with battery dead

End-of-life confused with battery dead

Typical results — first 90 days

90%
Customer self-resolution
60%
Fire-safety calls deflected
15+
Brands covered

Typical workflow

01 Upload. Manuals, schedules, brand documentation — indexed in minutes with chunking tuned for the vertical.

02 Tuning. Your reviewer validates the most-asked questions and the team tunes hybrid retrieval on the first-run false positives.

03 Deploy. Web widget, mobile or voice — whichever channel your customers already use. SSO to your CRM, CSV log export.

04 Iterate. Dashboard surfaces unanswered questions. Add a manual → indexed in 4-8 minutes → live.

Frequently asked questions

How quickly can we go live for smoke detectors?
It depends. You can be live in minutes — upload a few PDFs and you already get meaningful value. Timelines extend only when you want to connect more of your infrastructure (CRM, ticketing, knowledge base, voice channel, SSO).
How is data isolated between customers?
Per-tenant database + per-tenant retrieval scope. No training on customer data. DPA + sub-processor list public.
Languages supported?
Eight by default — English, German, Italian, French, Spanish, Dutch, Polish, Portuguese. More on request.
Can we integrate with our CRM / ticketing system?
Yes — bi-directional webhook to Salesforce, HubSpot, Zendesk, Freshdesk, Jira Service Management, Intercom, or any HTTP endpoint.