Costed per token up front
We estimate cost per request, latency and accuracy targets before we build, then route between frontier and smaller models so the margins survive at volume.
We build AI-native SaaS products — retrieval, evals and guardrails wired in, with the cost per request costed up front so the unit economics hold at scale.
An AI SaaS product is two hard problems at once: the multi-tenant platform underneath — accounts, roles, billing, isolation — and the model layer on top that has to stay accurate and affordable on every request. Get either wrong and the product either falls over or quietly loses money as it grows.
We estimate cost per request, latency and accuracy targets before we build, then route between frontier and smaller models so the margins survive at volume.
Your data chunked, embedded and retrieved so answers are grounded in your own content and traceable, rather than confidently wrong.
An evaluation set that measures quality against real examples, so regressions are caught before your users hit them instead of after.
Input and output guardrails, rate limits and graceful fallbacks, so a bad prompt or a model outage degrades cleanly instead of breaking the product.
Real tenant isolation, role-based access and usage-based billing wired to your ledger — the platform an AI feature actually lives inside.
Cost, latency, drift and quality tracked in production, with a routing layer to tune spend as usage climbs.
Related delivery with the client context and measurable outcomes attached.
01
Social eventsMobile app, backend, advertising tools, a digital marketplace and website.
02
Energy brokerageSupplier tenders, contract management, brokerage accounting and client records.
03
Event technologyMulti-organiser commerce, Stripe instalments and two native apps in one connected platform.
The same senior team stays close to scope, architecture, build, launch and what comes next.
We agree the outcome, users, integrations, budget and main technical risks before the work starts.
We plan the data, interfaces and failure modes around the way the system needs to operate.
You receive source access, a working environment and regular demonstrations throughout delivery.
We launch, document and monitor the work, then hand it over or continue as your engineering team.
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Clutch★★★★★5.0 / 5.0Across 18 independently published client reviews
“They have a deeper technical knowledge than any web designer I've met to date.”
Yes. Estimating cost per request is the first thing we do — token usage, model mix and expected volume, priced up front so you decide with the economics in front of you, not after launch.
Retrieval grounding over your own data, citations on answers, output guardrails, and an eval set that flags regressions before release.
Both. We build the multi-tenant platform — auth, roles, billing, tenant isolation — as well as the retrieval, evals and model routing on top, or extend an existing product you already run.
Book a 30-minute call with the senior team that will scope and lead the work.