Voice agents & call flows
Inbound and outbound call experiences with explicit prompts, branching logic, error paths, and a clear route to a person.
Voice technology · AI · communications
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
Reliable voice products depend on the complete path: media, recognition, decisions, integrations, and what happens when automation needs help.
Inbound and outbound call experiences with explicit prompts, branching logic, error paths, and a clear route to a person.
Audio ingestion, streaming or batch transcription, timestamps, structured extraction, and handling for uncertain results.
Use language models for bounded tasks such as classification, summarization, or response drafting—with validation and fallbacks.
Connect call control, audio processing, service APIs, and operational events without blocking the live media path.
Coordinate voice with WhatsApp, Telegram, and other business channels while preserving useful customer context.
Monitor delivery, failures, latency, and handoffs; give teams a way to understand and improve the workflow.
A reliable voice pipeline
We connect the stages and define their boundaries so the call can stay responsive even when downstream AI or business systems need more time.
Receive the call or audio event and establish session context.
Recognize speech, identify intent, and extract only the fields the workflow needs.
Apply clear business rules; use AI within bounded, testable tasks.
Route, notify, update a system, or move the conversation to a person.
Measure outcomes and inspect failures without exposing unnecessary audio or personal data.
Designed with safeguards
Selected project · botto.ai
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.
Engineering foundations
Voice systems span more than a model. We combine call routing, real-time media, transcription, structured AI decisions, application logic, and event data.
Telephony control, SIP routing, and real-time media handling for voice applications.
Whisper converts speech to text. Jev returns structured, confidence-aware decisions that application code can validate and route—with a human fallback when needed.
Backend and mobile services connect calls to existing tools, internal workflows, and customer-facing applications.
Persist workflow state, process operational events, and make system behavior visible to the teams who run it.