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.
Build AI into a product people can use.
SaaS products with AI features, retrieval, quality evaluation and per-request cost estimates.
2015Building production software since
300Projects delivered
100%Source and production visibility
5.0Across 18 verified Clutch reviews
Product features with quality and cost controls
We build AI SaaS products with both the commercial platform and model behaviour in mind. Accounts, permissions, billing and tenant isolation are planned alongside answer quality, response times and running costs.
Retrieval grounding
Your data chunked, embedded and retrieved so answers are grounded in your own content and traceable, rather than confidently wrong.
Evals before ship
An evaluation set that measures quality against real examples, so regressions are caught before your users hit them instead of after.
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.
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.
Production monitoring
Cost, latency, drift and quality tracked in production, with a routing layer to tune spend as usage climbs.
See the work in practice
Related projects, with the decisions, delivery and results explained.
01
Social eventsFour years across the app and operations
Mobile app, backend, advertising tools, a digital marketplace and website.
4+ yrssupport across five codebases
02
Energy brokerageTenders, contracts and accounts brought together
Supplier tenders, contract management, brokerage accounting and client records.
100+suppliers per tender
03
Event technologyTicketing owned by the event team
Multi-organiser commerce, Stripe instalments and two native apps in one connected platform.
£2M+ticket sales processed
A clear plan, regular progress
You work with the same senior team from the first scoping conversation through to launch and support.
- 01
Scope & cost
We agree the outcome, users, integrations, budget and main technical risks before the work starts.
- 02
Architecture
We plan the data, interfaces and failure modes around the way the system needs to operate.
- 03
Build & review
You receive source access, a working environment and regular demonstrations throughout delivery.
- 04
Launch & support
We launch, document and monitor the work, then hand it over or continue as your engineering team.
Related services
Explore other AI systems services.
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.”
Related guides
Field notes from real builds, on the decisions this work turns on.
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AIAI Agents Are Leaking Data: What the OpenAI Incident Means Before You Deploy One
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Frequently asked questions
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 reduce incorrect AI answers?+
We combine retrieval from approved sources, citations, evaluation examples and human review or escalation for consequential outputs. These controls reduce errors; they do not guarantee that every answer is correct.
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.
Tell us what you’re working on
Bring your idea, your existing system or the problem you need to solve. A 30-minute call with our senior team will help clarify the next step.