// ai-first software engineering
Intelligence, engineered in.
i-AI builds software with AI at its core: assistants that know your business, systems that read their own data, and products that get better with every use. The rest of the stack comes with it.
// capabilities
AI at the core. Everything else around it.
An AI feature is only as good as the software, data and infrastructure it lives in. We build all of it, so nothing gets lost between suppliers.
AI
Assistants trained on your documents, automation for the work your team does by hand, and document processing that reads what humans used to retype. Every system measured against an eval suite before it launches, and watched after.
See the serviceSoftware Engineering
Custom web applications, APIs and integrations. The solid, tested foundations an AI feature needs before it can be trusted with real work.
See the service /services/databasesDatabases
Schema design, tuning and vector search. AI is only as smart as the data you feed it, so we treat the data layer as the main event.
See the service /services/hostingHosting & DevOps
Managed hosting with CI/CD, monitoring and backups, plus the model-cost and latency dashboards AI workloads need.
See the service /services/seoSEO
Search visibility for the AI era: technical SEO, Core Web Vitals, and making your business the answer ChatGPT and Google cite.
See the service /services/designDesign
Interfaces for products that think: chat, suggestions and confidence signals designed so users always know what the AI did and why.
See the service /services/saasSaaS
AI-native products from idea to paying subscribers: MVP builds, billing, multi-tenancy and per-query economics that survive scale.
See the service// how we ship
Five stages, and the last one never stops
AI projects fail when nobody defines what "good" means. We define it in numbers at stage one and measure against it forever after.
Assess
We map where AI genuinely helps your business and where it doesn't. You get a ranked list of opportunities with honest effort estimates.
Design
Prototypes you can try, and an eval suite agreed up front. We define "accurate enough" in numbers before writing code.
Build
Short cycles with a working demo every fortnight. Evals run from week one, so quality is a graph, not an opinion.
Launch
Guardrails on, human fallback wired, costs capped. The system goes live knowing exactly what it's allowed to do.
Learn
Accuracy monitored, prompts and models tuned, new data folded in. The system you buy improves after you've paid for it.
AI systems running in production
Median accuracy across our eval suites
Uptime across our managed hosting
Of high-stakes actions approved by a human
// why i-ai
Engineers first. AI second.
Anyone can wire a chatbot to an API in an afternoon. Making it accurate, safe and affordable in production is engineering, and that's the part we're known for.
- Measured, not vibed. Every AI system ships with an eval suite. If accuracy drops, we know before you do.
- Humans stay in charge. Refunds, emails, anything with consequences waits for a person to approve it.
- Your data stays yours. Processing agreements, UK/EU residency options and GDPR handled from day one, in writing.
- Honest about the tool. When a plain script beats a language model, we say so and build the script. It's cheaper and it never hallucinates.