Your agent works in the demo and dies on real calls. We measure where the latency actually goes — phone leg included — fix it, and keep it fixed. Start with a fixed-price audit; everything after it is optional.
01
Real-Time AI Audit
A fixed-scope diagnostic of a real-time or voice system already in flight: where the latency actually goes, what breaks under load, what it costs per minute — and a prioritised, costed fix list you can act on with or without us.
Voice agents that survive real calls, not just the demo — a latency budget that counts the phone leg, turn-taking that doesn't talk over people, and evals that catch a regression before your customers do.
The team that built your real-time stack is gone, or the platform under it no longer fits. We take ownership of what exists, stabilise it, and move it somewhere you can maintain — without a rewrite you can't afford.
Deliverables
A dated verdict on whether to move at all
An inventory of the undocumented guarantees
Numeric abort thresholds and the unwind cost
A runbook and a contractual last day
Tech
WebRTC
WHIP
LiveKit
Vonage
MediaMTX
GStreamer
FFmpeg
04
Real-Time Ops
Real-time systems degrade quietly: an encoder falls back to software, a provider reprices, a model is deprecated. Monitoring aimed at the counters that actually move, alerting on the degradation that precedes failure, and a person who answers inside stated hours.
Recording a regulated conversation is not a storage problem. Consent capture, redaction on the live pipeline, retention schedules that expire on time, and an audit log that reconstructs who heard what.
Deliverables
Consent capture and proof
Redaction on the live pipeline
Retention and expiry schedules
Immutable audit log + access review
// The system we build
More than a model call
Whatever the discipline, the model is a small part of the system we ship around it — grounded in your data, measured against evals, observable, and safe to run in production.
Your productapp + users
Model / agentthe LLM core
Retrieval + toolsgrounding, actions
Evals + guardrailsthe quality gate
Observabilitytraces + cost
Deploydurable, autoscaled
A representative shape — abstract by design; the mix and depth vary per engagement.
// Engagements
Start small, scale as it proves out.
One path, three steps — a paid Sprint to de-risk, a fixed-scope build, then ongoing operation as it grows. Priced on outcomes, not hours.
01 · Entry
Start here
Architecture Sprint
$2–4kfixed · 1–2 wks
De-risk before you build. We map the system, choose the architecture, define what “done” and “fast enough” mean, and prove the risky part with a working POC. Credited to the build.