Real-time AI voice agents
Inbound and outbound agents that answer questions, book appointments, and update records over the phone, with barge-in support so callers can interrupt naturally.
Robotics & Emerging AI
Voice AI development that sounds natural.
Callers and users expect a voice system to understand them on the first try and answer without awkward pauses. Our voice AI development team builds speech pipelines and AI voice agents that listen accurately, respond quickly, and hand off gracefully to people when needed.
- Low-latency streaming
- Phone and web
- Natural-sounding voices
01 Overview
From raw audio to useful, spoken answers
A good voice experience depends on three pieces working together in a fraction of a second: speech recognition software that transcribes accurately despite accents and background noise, a reasoning layer that understands intent, and a voice that sounds human enough to keep people on the line. Voice AI development is about tuning that whole chain, not just picking a model, because a delay or misheard word at any stage breaks the conversation.
We build conversational voice AI on streaming components like Deepgram or Whisper for transcription, large language models for dialogue, and ElevenLabs or Azure Speech for text to speech solutions. Twilio, LiveKit, and SIP integrations connect agents to phone lines, contact centers, and in-app calling. Beyond live agents, we deliver speech analytics that turn recorded calls into searchable transcripts, summaries, and quality signals your teams can act on.
02 Capabilities
Voice AI & Speech capabilities.
End-to-end Voice AI & Speech: strategy, engineering and the production operations that keep it working.
Speech recognition and transcription
Streaming and batch transcription with custom vocabulary, speaker diarization, and punctuation, tuned for domain terms like drug names, part numbers, or legal phrases.
Text-to-speech and voice design
Expressive synthetic voices with controlled pacing and pronunciation, plus brand voice creation where you hold the rights and consent for the source recordings.
Telephony and contact center integration
Connections to Twilio, Amazon Connect, Genesys, and SIP trunks so agents route calls, transfer to humans, and log outcomes in your CRM.
Speech analytics and call insights
Automated transcripts, summaries, sentiment, and compliance phrase detection across recorded calls, giving supervisors a searchable view of what customers actually say.
Multilingual voice experiences
Language detection, transcription, and spoken responses across many languages, with fallback logic that routes callers to the right human team when confidence is low.
03 How we deliver
From first call to production.
Every Voice AI & Speech engagement follows the same five stages, so you see value early and risk stays low.
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01
Discover Typically 1–2 weeks
AI readiness assessment, data audit and use-case discovery. We rank opportunities by business value and feasibility and agree on measurable success criteria.
Output: Roadmap · data audit · success metrics
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02
Prototype Typically 2–4 weeks
A working proof of concept on your real data, scored against an evaluation set — so you see accuracy, latency and cost before committing to a full build.
Output: PoC · evaluation report · build estimate
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03
Build Sprint-based
Production engineering: data pipelines, model training or fine-tuning, RAG retrieval, agent tooling, APIs, guardrails and the user interface your team will actually use.
Output: Production code · APIs · guardrails
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04
Deploy Cloud, on-prem or edge
Secure deployment on AWS, Azure, Google Cloud, your private infrastructure or edge devices, with CI/CD, LLMOps and MLOps pipelines from the first release.
Output: CI/CD · infrastructure as code · rollback
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05
Operate Ongoing
Monitoring, drift detection, retraining and cost optimization keep models accurate and affordable as your data, users and the AI landscape change.
Output: Monitoring · retraining · cost reports
04 Use cases
Where it pays off.
Practical, high-value applications we design and build for clients across industries.
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UC-01
After-hours appointment scheduling line
A voice agent answers calls outside business hours, checks calendar availability, books or reschedules visits, and sends a text confirmation to the caller.
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UC-02
Restaurant phone ordering assistant
Callers place takeout orders by voice, the agent confirms items and modifiers, and the finished order lands directly in your existing point-of-sale system.
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UC-03
Clinical documentation from conversations
Doctor-patient conversations are transcribed and drafted into structured notes for clinician review, reducing the time clinicians spend typing up records after each visit.
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UC-04
Voice controls inside mobile apps
Users search, navigate, and complete actions hands-free while driving or cooking, powered by in-app voice assistant development on streaming speech and intent models.
05 Technology
The stack we use.
Proven, well-supported tools chosen per project for accuracy, cost and long-term maintainability.
Speech recognition
- OpenAI Whisper
- Deepgram
- AssemblyAI
- Google Cloud Speech-to-Text
Voice synthesis
- ElevenLabs
- Azure AI Speech
- Amazon Polly
- Cartesia
Real-time and telephony
- Twilio
- LiveKit
- Pipecat
- Amazon Connect
- WebRTC
06 Industries
Built for your sector.
We deliver Voice AI & Speech for regulated and fast-moving industries alike.
How fast can an AI voice agent respond?
Response speed depends on the transcription service, language model, voice engine, and network path working together. We use streaming at every stage, start generating speech before the full reply is ready, and host components close to your callers. We measure end-to-end latency during testing and tune the slowest link until conversations feel natural.
Can speech recognition software handle accents and noisy calls?
Modern models handle a wide range of accents well, and accuracy improves further with custom vocabulary, noise suppression, and testing on recordings from your actual callers. We evaluate several engines against your audio before choosing one, since performance on clean benchmark data does not always match phone-quality speech.
What happens when the voice agent cannot help a caller?
We design explicit escalation rules: low confidence, repeated misunderstanding, sensitive topics, or a direct request for a person all trigger a transfer. The live agent receives the transcript and a short summary so the caller never has to repeat themselves. Escalation behavior is tested as carefully as the happy path.
Can you create a custom voice for our brand?
Yes, with proper consent. Providers like ElevenLabs and Azure support custom voices trained on recordings from a voice actor who has agreed to that use. We help set up the recording process, licensing documentation, and pronunciation tuning, and we avoid cloning any voice without clear written permission.
How is caller data protected in conversational voice AI?
We design storage and processing around your requirements, such as HIPAA, PCI DSS, or GDPR. Options include redacting card numbers and personal details from transcripts, disabling vendor data retention, encrypting recordings, and keeping processing within specific regions. Callers can also be informed about recording and AI use at the start of each call.