// Services
For teams putting AI into production, not just a demo. Six disciplines, one senior team — we ship the smallest system that survives, and hand it over observable, evaluable, and yours.
Tool-using agents that act on your systems — calling your APIs, running workflows, deciding what to do next — with guardrails, retries, and traces so they are safe to run unattended in production.
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Retrieval grounded in your own data, with an eval harness that proves the answers are faithful to the source — not plausible-sounding guesses.
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Models wired into your product behind an interface you control, provider-agnostic by design. Every prompt and model change is gated on evals — measurable quality, not vibes.
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Full-stack, AI-native products from first prototype to a system users trust — designed, built, and shipped in your repo and your conventions.
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The queues, workers, observability, and cost controls that keep models fast, reliable, and on budget once real traffic arrives.
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A clear-eyed read on where AI pays off and where it does not — an architecture review, an honest risk and feasibility assessment, and a prioritised roadmap before you commit budget.
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Live and on-demand video that holds up under real traffic — WebRTC pipelines, adaptive delivery, and AI on the stream (transcription, moderation, search) without adding lag your users feel.
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// The system we build
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.
// Engagements
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$4–8kfixed · 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.
02 · Build
from$20kfixed scope or pod
Ship the product — designed, built, and delivered in your repo and conventions, with evals and observability from day one.
03 · Operate
Where it growsfrom$4k/ month
Keep it running and improving after launch — SLA, monitoring, cost control, and steady iteration 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
We map the problem, the data, and the eval that defines "done".
A working slice in weeks — real model, real data, measured.
Hardened, observable, evaluable. Shipped where users live.
Cost, latency and reliability tuned as load and scope grow.
// Let's build
Tell us where you are. We reply within a day with a concrete next step.