# VoIP & Voice Systems

**Phone systems you own, with intelligence on every call.**

A call is the highest-signal interaction most businesses have and the least analysed. We build the phone infrastructure and then make what happens on it searchable.

Canonical: https://technologiesninja.com/service-voip-voice.html

## The problem — Every call, unread.

Hosted phone platforms charge per seat, per minute and per feature, and the recordings sit in a system you cannot query. The information a sales or support conversation contains never reaches the CRM.

Meanwhile the operational basics are often broken: routing that sends callers to the wrong queue, IVR trees nobody has revisited in years, and no reliable record of what was promised on a call.

Reviewing calls manually does not scale. Somebody listens to three out of four hundred and calls it quality assurance.

## What we build — Infrastructure and insight.

- Asterisk deployments with SIP trunks and softphone provisioning
- IVR trees, routing rules and queue logic that match how the team actually works
- Call recording with transcription and speaker diarization
- AI summaries, sentiment and intent extraction per call
- Voice agents wired to business systems through AMI

## Architecture — From ring to record.

01. **connect** — SIP trunks terminate on Asterisk; softphones and desk phones register
02. **route** — IVR and queue logic direct the call, with rules held in one place
03. **record** — Audio is captured and stored on infrastructure you control
04. **transcribe** — WhisperX produces a transcript with speakers separated
05. **analyse** — A local model extracts summary, sentiment and intent
06. **deliver** — Structured output lands in the CRM or dashboard, searchable

**Stack:** Asterisk · SIP · AMI · IVR · WhisperX · Whisper · Ollama · Python · Laravel · Diarization

## Asked most often

**Do we have to leave our current provider?**
Not necessarily. Asterisk can sit alongside existing SIP trunks, and the intelligence layer can be added to recordings you already produce.

**How accurate is the transcription?**
WhisperX with diarization is strong on clear telephony audio and degrades with heavy accents, crosstalk and poor lines. We measure accuracy on your actual recordings during discovery rather than quoting a benchmark.

**Where is call audio stored?**
On your infrastructure. That is usually the reason clients come to us for this rather than buying a hosted add-on.

**What does 412 utterances per call mean?**
It is the average number of separately transcribed and attributed speech segments per call in the call-intelligence build — the granularity the analysis layer works at.

## Where this connects.

- Case study: [AI Voice & Call Intelligence](/project-voice-call-intelligence)
- Case study: [Asterisk VoIP Platform](/project-asterisk-voip)
- Service: [AI Systems & Agents](/service-ai-systems)
- Article: [Voice AI with Whisper, WhisperX and Ollama](/blog-whisper-voice-stack)

## Contact

- Email: info@technologiesninja.com
- WhatsApp: +91 81602 92132
- Availability: Q2 2026 · 2 slots
- Location: Remote · Global
- Response: within 1 business day · NDA available

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