Voice AI & Real-time Agents
From transcription pipelines to real-time voice agents that handle calls end-to-end — built with low latency, accent robustness, and clear escalation paths to humans.
Voice AI
Voice interfaces that actually understand callers.
Voice systems engineered for sub-second response, robust transcription, and graceful human escalation.
Common signs your team is overdue for voice ai:
- Latency that breaks conversation flow
- Speech-to-text that fumbles names, accents, and domain terms
- Brittle IVR trees customers hate
- No way to measure call outcomes vs. cost per minute
What we build for voice ai:
- Real-time voice agents with sub-second turn latency
- Custom vocabulary / acoustic adaptation for your domain
- IVR replacement with natural-language routing
- Post-call summaries, action items, and CRM updates
- Seamless human handoff with full call context
Capabilities
Where voice AI earns trust
Sub-second voice agents — outcomes our clients keep coming back for.
Inbound call handling
Triage, qualify, and route — book meetings or escalate cleanly.
Outbound reminders
Appointment confirmations, payment reminders, surveys — at scale.
Meeting transcription
Multi-speaker transcripts with summaries and action items piped to your tools.
Compliance monitoring
Detect required disclosures and risky language across all calls.
How we deliver · Build a voice agent
- Listen to real callsProfile call types, common asks, vocabulary, and the emotional shape of conversations.
- Design the dialogueDecide what the agent handles, what it escalates, and how it hands off.
- Build & tuneSTT, LLM, TTS, telephony. Tune latency at every hop.
- Pilot & scaleShadow live calls, take a slice, measure resolution rate, scale up.
Tools & platforms we use
Talk to an engineerFree 30-minute consultation
FAQ
Questions teams ask us about Voice AI
Still unsure? Talk to an engineer. It’s free and there are no slides.
Ask us anythingHow low can latency go?
With a tuned pipeline (Realtime API or streaming STT + small LLM + low-latency TTS), we routinely hit sub-700ms turn latency.
Can the agent handle accents and noisy environments?
Yes — we test against representative calls from day one and tune acoustic models / vocabulary accordingly.
How long does it take to get to production?
Most projects ship a real, usable system in 3–6 weeks. Discovery is 1–2 weeks; build sprints are weekly with demos.
Will my data be used to train models?
No. We default to enterprise tiers (OpenAI, Anthropic, Bedrock, Vertex) that don’t train on your data. For sensitive use cases, we deploy open-weight models on your infrastructure.
How do you control costs?
We design cost-aware from day one — model routing (cheap model first, escalate when needed), caching, batch processing, and per-user budgets with alerts.
Can you work with our existing engineering team?
Yes. We embed alongside your team, transfer ownership progressively, and document everything we build.
Free 30-minute call
Let's build something amazing together.
Our deep pool of certified engineers and IT staff are ready to help you to keep your IT business safe & ensure high availability.
- 1Tell us about your projectA few lines is enough to get started.
- 2A 30-minute callWe listen, ask the right questions and scope it.
- 3A sharp, honest planClear next steps and a quote. No obligation.