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Voice technology · AI · communications

AI that understands the call—and knows what happens next.

From speech recognition and transcription to voice agents and telephony integrations, we connect audio to the business workflows behind it. We engineer the pipelines, safeguards, and integrations that make voice a practical part of a product.

What we engineer

Voice is a system—not just a model or a dialer.

Reliable voice products depend on the complete path: media, recognition, decisions, integrations, and what happens when automation needs help.

01

Voice agents & call flows

Inbound and outbound call experiences with explicit prompts, branching logic, error paths, and a clear route to a person.

02

Speech recognition & transcription

Audio ingestion, streaming or batch transcription, timestamps, structured extraction, and handling for uncertain results.

03

AI-assisted conversation logic

Use language models for bounded tasks such as classification, summarization, or response drafting—with validation and fallbacks.

04

Telephony & SIP integration

Connect call control, audio processing, service APIs, and operational events without blocking the live media path.

05

Multichannel communication

Coordinate voice with WhatsApp, Telegram, and other business channels while preserving useful customer context.

06

Operations & observability

Monitor delivery, failures, latency, and handoffs; give teams a way to understand and improve the workflow.

A reliable voice pipeline

From first sound to the right next step.

We connect the stages and define their boundaries so the call can stay responsive even when downstream AI or business systems need more time.

  1. 01

    Capture

    Receive the call or audio event and establish session context.

  2. 02

    Understand

    Recognize speech, identify intent, and extract only the fields the workflow needs.

  3. 03

    Decide

    Apply clear business rules; use AI within bounded, testable tasks.

  4. 04

    Act or hand off

    Route, notify, update a system, or move the conversation to a person.

  5. 05

    Review

    Measure outcomes and inspect failures without exposing unnecessary audio or personal data.

Designed with safeguards

Explicit latency budgetsHuman fallback pathsConsent & retention rulesObservable failure states

Selected project · botto.ai

Communication products need more than a dialer.

Botto.ai is a multi-channel communications platform that brings voice campaigns, speech recognition and synthesis, messaging workflows, audience tools, CRM/API integrations, and reporting into one operating context.

A voice workflow has to do more than play audio. It needs to interpret a response, choose a safe next step, update the right system, route exceptions, and keep useful context available to the team.

Our work on Botto.ai sits at that intersection: telephony, speech processing, backend orchestration, and the product workflows that connect conversations to business operations.

Explore Botto.ai

Engineering foundations

A voice stack built end to end.

Voice systems span more than a model. We combine call routing, real-time media, transcription, structured AI decisions, application logic, and event data.

01 / REAL-TIME MEDIA

Call and media infrastructure

Telephony control, SIP routing, and real-time media handling for voice applications.

FreeSWITCHKamailiortpengineSIP / RTP
02 / SPEECH & DECISIONS

Transcribe, then choose a safe next step.

Whisper converts speech to text. Jev returns structured, confidence-aware decisions that application code can validate and route—with a human fallback when needed.

Whisper · speech-to-textJev · structured decisions
03 / APPLICATIONS

Product and service logic

Backend and mobile services connect calls to existing tools, internal workflows, and customer-facing applications.

KotlinGoLua / OpenRestyPython
04 / DATA & OPERATIONS

State, events, and observability

Persist workflow state, process operational events, and make system behavior visible to the teams who run it.

RedisRethinkDBClickHouse
See our architecture practice

Have a voice workflow in mind?

Let's map the conversation
to the system behind it.

Talk to our team