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.
SaaS products with AI features, retrieval, quality evaluation and per-request cost estimates.
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.
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 projects, with the decisions, delivery and results explained.
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02
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You work with the same senior team from the first scoping conversation through to launch and support.
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.
Explore other AI systems services.
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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.
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.
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.
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.