Voice AI that understands, acts and scales

We build voice agents and conversational AI that understand, automate and scale every call and every message your business handles.

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Architecture of the voice platform

A real-time voice stack, open layer by layer. Every piece is replaceable: bring your own PBX, your own model or your own CRM.

Telephony

our own pbx

Our own PBX: numbering, diverts, queues, extensions and recording. We run it. If you already have a switchboard we come in over a SIP trunk without touching it; and WebRTC for voice inside your own app.

heydiga PBXSIP TLS + SRTPWebRTCtransfer / barge-in

Voice in / voice out

stt · tts

Multi-provider STT and TTS with automatic fallback. Bidirectional streaming with end-of-turn detection, interruptions and silence control. No menus and no beeps.

multi-provider STTmulti-provider TTSour own VADbarge-in

Orchestrator

multi-llm router

A multi-LLM router: always the best models for the case, with automatic fallback and nothing for you to migrate. Guardrails per use case, continuous evals and escalation to a human.

multi-LLM routeralways latest generationevalshuman in-the-loop

Integrations

tools · api

The agent runs functions against your systems during the call: look up, book, charge, escalate. REST, webhooks or an event queue.

RESTwebhooksOAuth2queues

Observability

ops

Every call leaves a transcript, audio, per-leg latencies and a reason for hanging up. Exportable to your data or BI stack.

transcriptsmetricsexport S3/BQalerts

Bespoke conversational AI projects

Hundreds of thousands of conversations a month, inbound and outbound. None of this switches on with a toggle: it is designed and rolled out in phases.

Volume and concurrency

Thousands of calls at once. Every one of them answered first time.

Outbound calls

Reminder, confirmation or survey campaigns, with their own pacing and retries.

Multi-agent flows

Specialised agents, routing by intent and a way out to a human.

Integration with your core

ERP, CRM, booking engine or that internal system with no public API.

Alongside your contact centre

The agent takes the first line and hands over to your team with the context.

Deployment with requirements

A fixed data region, configurable retention and PII redaction.

Technical sheet and compliance

Latency, concurrency, channels and languages, and the certifications we operate under.

Response latency	~700 ms
Concurrency	thousands of simultaneous calls
Volume	no contractual cap, sized to fit
Direction	inbound and outbound (campaigns)
Channels	voice (SIP / WebRTC), WhatsApp, SMS
Languages	50 languages
Uptime target	99.5% with a signed SLA
Data region	European Union
Audio retention	configurable, 0–365 days
Test environment	sandbox with its own numbering

ISO 27001

Security standards

ENS

Medium category · RD 311/2022

GDPR

Servers in the EU

AI Act

European AI regulation

Encryption in transit and at restAnonymisation and PII redactionConfigurable audio retentionAudit logRole-based access controlAnnual pentestPublic security policy

How the project evolves

It is not a hand-off and goodbye: we start from a baseline metric, measure the impact and keep widening the use cases and the resolution rate.

Baseline metric

We measure where you are today: missed calls, response times, appointments generated.

Deployment

We build the project on that baseline, starting with the use cases that weigh most.

Measured impact

We compare against the baseline: what resolves itself and what escalates to people.

Iteration

Every month we add use cases and push the resolution rate up.

What people say about us

Behind it is an engineering, product and AI team with more than 20 years of building technology. Barcelona and Madrid.

It is not software. It is a virtual person who talks to your customers.

It saves 80% of the time spent managing calls.

Every interaction becomes data that drives the business.

Up to 20x return by turning calls into efficiency.

Not one call unanswered and not one euro lost.

It sounds as natural as a real person.

Talk to us about your voice AI project

Half an hour with our technical team to see whether it makes sense and how we would build it.

Talk to us