Best-in-class
AI stack.
We don't lock you into one AI provider. For every AI MVP, we choose the model and infrastructure that actually fits your use case — not just the most popular option.
AI that works for your business —
not the other way around.
We select, configure, and manage the AI models that best fit your goals. You stay in control of what runs, what it costs, and how it evolves — without needing to understand the technical details.
The right AI for the job — every time
Your system isn't tied to one provider. We select from OpenAI, Google, Anthropic, and open-source models based on what actually performs best for your use case — not what's trending.
Built around your priorities, not ours
Need fast responses? Lower running costs? Maximum accuracy? We match the model to what matters most to your business — and explain the trade-offs in plain language before we build.
Your system stays current — without rebuilding
As better models become available, we can upgrade your system without starting from scratch. The architecture is designed for change from day one — so you're never stuck on yesterday's technology.
Deployed for real work, not demos
Every system handles real users, real data, and real volume. We apply model updates as the landscape evolves — your product keeps improving without additional project cycles.
We match the model to your goal
Tell us your priority — we handle the technical selection. No jargon, no guesswork. You choose the outcome; we choose the right tool.
Best for most business tasks
The right fit for most projects — customer-facing chat, content workflows, product copy, and internal tools. Strong quality at a cost that scales with your business.
We recommend the right profile during scoping — and explain the reasoning in plain language.
You stay in control.
We handle the complexity.
We manage the technical side so you don't have to. But every decision — which model runs, what it costs, who owns the infrastructure — stays with you.
You approve the model choice
We recommend the right model for your use case and explain why — you give the final sign-off.
No surprise costs
AI usage is billed directly by the provider at standard rates. We don't mark it up or bundle it into our fee.
Your API keys, your account
You hold the keys and manage billing directly with the provider. Full visibility, no intermediary layer.
Switch or scale whenever you need
The system is yours. Change providers, upgrade models, or scale independently — no permission required.
Frontier models,
right tool for the job.
OpenAI
Our primary model family for complex reasoning, code generation, and multi-modal applications. GPT-4.1 is our default for most product builds.
Best for
Anthropic
Claude 3.7 Sonnet excels at long-context tasks, document analysis, and situations where safety and nuance are paramount. Preferred for healthcare and legal applications.
Best for
Google DeepMind
Gemini 2.5 Pro powers applications requiring real-time search grounding, video understanding, and the largest context windows available (2M tokens).
Best for
Mistral AI
Mistral provides European data residency — critical for EU-regulated industries. Codestral is our choice for specialised code completion tasks.
Best for
Perplexity
Perplexity powers any feature requiring real-time web search with cited sources — market research tools, news monitoring, and competitive intelligence.
Best for
Vercel AI SDK
The Vercel AI SDK is our infrastructure layer — it abstracts model providers, enables seamless streaming UIs, and allows us to switch models without rewriting code.
Best for
How we choose
the right model.
Model selection is a technical decision, not a brand preference. We evaluate four criteria for every feature we build.
Task complexity
Cost optimisedSimple classification uses fast, cheap models. Complex multi-step reasoning uses frontier models. We never overbuild.
Data residency
GDPR compliantEU-regulated industries require EU data processing. We route to Mistral or on-premise deployments when required.
Latency requirements
Sub-500ms UXReal-time user-facing features use streaming + fast inference. Background processing uses larger, slower models.
Context window needs
Up to 2M tokensDocument analysis and long-form tasks require 128K+ context. We select models that fit the data, not the other way around.
Production-grade
from day one.
We don't build demos. Every system is production-ready, scalable, and built on battle-tested infrastructure.
Built with the best.
Delivered on schedule.
The models and infrastructure above power every AI MVP we deliver. Let's talk about what's right for yours.