No call lost
Every request is captured and routed.
06 / 08 — Services
When milliseconds matter you need a different architecture. We build phone systems based on Asterisk, live features with WebSockets and multiplexing, and AI-powered voice assistants that answer, understand and route calls.
01
The typical data flow — from input to result. Every station is replaceable and adapted to your systems.
02
Telephony, live communication and WebSockets — right up to the AI phone assistant.
03
This is what an excerpt from a typical project looks like — readable, commented and without magic. That is exactly how we hand code over to your team.
extensions = { eingang = {
["s"] = function(ctx, ext)
app.answer()
local anliegen = ki.zuhoeren(channel, { sprache = "de-DE", max = 20 })
local ziel = ki.einordnen(anliegen) -- Vertrieb | Support | Termin
crm.notiz(channel.CALLERID("num"):get(), anliegen)
app.dial("PJSIP/" .. ziel, 30)
end
}} 04
Every request is captured and routed.
WebSockets instead of constant polling.
SIP, Asterisk, WebSocket — no proprietary lock-in.
From assistant to human with full context.
05
06.1
Requests are captured and summarised before a human takes over.
06.2
Callers are recognised in the CRM, conversations documented automatically.
06.3
Vehicles or jobs on the map in real time.
06.4
Real-time co-editing with presence and synchronisation.
06
An Asterisk system with speech recognition and a language model: capture requests, answer standard questions, summarise, route.
A native or Flutter app with offline database, photo documentation, signatures and sync as soon as there is signal.
07
Yes. Speech recognition, a language model and speech synthesis can be connected to a phone system such as Asterisk. The assistant answers standard questions, records requests and hands over to humans.
WebSockets keep a persistent connection between browser or app and server, so messages and status changes arrive instantly — without constant polling.
If you like, yes: setup, hardening, updates and monitoring of your Asterisk servers.
More services
LLM applications that work with your data and complete tasks on their own.
Language models on your own hardware — data-sovereign, no cloud dependency.
Business processes that run themselves — with intelligent assistants and integrations.
Ready when you are
Describe your project in a few sentences — you’ll get an honest assessment of feasibility, effort and the way forward.