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// Services

Real-time AI that survives production

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.

Deliverables

  • Measured latency budget, end to end
  • Failure and load findings
  • Cost-per-minute breakdown
  • Prioritised, costed fix list

Tech

  • WebRTC
  • WHIP
  • LiveKit
  • MediaMTX
  • GStreamer
  • FFmpeg
02

Voice Agents in Production

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.

Deliverables

  • Latency budget incl. the SIP/PSTN leg
  • Turn-taking and barge-in tuning
  • Telephony and backend integration
  • Replay eval harness on a golden set

Tech

  • LiveKit
  • WebRTC
  • SIP
  • Go
03

Real-Time Rescue & Migration

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.

Deliverables

  • Monitoring on the counters that bind
  • Alerts derived from measured limits
  • Capacity re-measured as the fleet grows
  • Incident response, stated hours

Tech

  • WebRTC
  • WHIP
  • LiveKit
  • MediaMTX
  • GStreamer
  • FFmpeg
05

RAG & Knowledge Systems

Retrieval grounded in your own data, with an eval harness that proves the answers are faithful to the source — not plausible-sounding guesses.

Deliverables

  • Ingestion & chunking pipeline
  • Hybrid vector + keyword search
  • Grounded answer synthesis
  • Retrieval eval suite

Tech

  • OpenAI
  • Anthropic
  • SearXNG
  • Firecrawl
  • Postgres
06

Compliance-Grade Recording

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.

  1. Your productapp + users
  2. Model / agentthe LLM core
  3. Retrieval + toolsgrounding, actions
  4. Evals + guardrailsthe quality gate
  5. Observabilitytraces + cost
  6. 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.

    • Target architecture & success metrics
    • Scope, plan & costed fix list
    • Fixed price, credited against the build
  • 02 · Build

    Build

    from$12kfixed scope or pod

    Ship the product — designed, built, and delivered in your repo and conventions, with evals and observability from day one.

    • Turnkey fixed scope, or a dedicated pod
    • Evals & observability from day one
    • Documented and yours — no lock-in
  • 03 · Operate

    Where it grows

    Run & Scale

    from$1.5k/ month

    Keep it running and improving after launch — SLA, monitoring, cost control, and steady iteration as you scale.

    • Incident response in stated business hours
    • Uptime, performance & cost monitoring
    • Limits re-measured as you scale

+ Specialized tracks — deeper engagements for real-time video, AI, and data-intensive products, when your domain needs it.

Not a pick-one menu — most teams start with a Sprint and grow into ongoing operation. Every engagement ships documented, evaluable, and yours.

Not sure which? Get an estimate

// How we work

From prototype to production, in four moves.

01

Discovery

We map the problem, the data, and the eval that defines "done".

02

Prototype

A working slice in weeks — real model, real data, measured.

03

Production

Hardened, observable, evaluable. Shipped where users live.

04

Scale

Cost, latency and reliability tuned as load and scope grow.

// Let's build

Have something to build?

Tell us where you are. We reply within a day with a concrete next step.