AI systems / specialist delivery

AI SaaS product development.

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.

2015Building production software since
8+ yrsLongest active partnership
100%Source and production visibility
5.0Across 18 verified Clutch reviews
Scope

What this service covers.

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.

01

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.

02

Retrieval grounding

Your data chunked, embedded and retrieved so answers are grounded in your own content and traceable, rather than confidently wrong.

03

Evals before ship

An evaluation set that measures quality against real examples, so regressions are caught before your users hit them instead of after.

04

Guardrails and fallbacks

Input and output guardrails, rate limits and graceful fallbacks, so a bad prompt or a model outage degrades cleanly instead of breaking the product.

05

Multi-tenant SaaS foundations

Real tenant isolation, role-based access and usage-based billing wired to your ledger — the platform an AI feature actually lives inside.

06

Production monitoring

Cost, latency, drift and quality tracked in production, with a routing layer to tune spend as usage climbs.

A clear delivery process

From first decision to production.

The same senior team stays close to scope, architecture, build, launch and what comes next.

  1. 01

    Scope & cost

    We agree the outcome, users, integrations, budget and main technical risks before the work starts.

  2. 02

    Architecture

    We plan the data, interfaces and failure modes around the way the system needs to operate.

  3. 03

    Build & review

    You receive source access, a working environment and regular demonstrations throughout delivery.

  4. 04

    Launch & support

    We launch, document and monitor the work, then hand it over or continue as your engineering team.

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Clutch★★★★★5.0 / 5.0

Across 18 independently published client reviews

They have a deeper technical knowledge than any web designer I've met to date.

01 / 04
Common questions

Planning the work.

01Can you put a real number on the running cost before we build?

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.

02How do you stop the model making things up?

Retrieval grounding over your own data, citations on answers, output guardrails, and an eval set that flags regressions before release.

03Do you build the whole SaaS or just the AI layer?

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.

Start a project

Bring us the exact problem.

Book a 30-minute call with the senior team that will scope and lead the work.