Aimay builds AI-enabled software, internal tools, automation, and operational systems for businesses that need better execution. That can include workflow software, reporting tools, integrations, delivery systems, and customer-facing products.

The best fit is operationally heavy teams and new ventures that have a real workflow, delivery, or systems problem to solve. Aimay is especially useful where software and operations are tightly connected.

Very involved. Scope, architecture, tradeoffs, and implementation stay close to the real problem instead of being passed through layers of management.

Most engagements begin with a short discovery phase to understand the workflow, constraints, current tooling, and delivery priorities. From there, Aimay proposes a focused first phase with clear outcomes.

Practically. AI should improve speed, reliability, or decision quality. If a simpler software or workflow solution is better, that is the better answer. The goal is useful systems, not AI for its own sake.

Yes. A lot of useful engineering work sits inside the business: handoffs, scheduling, reporting, documentation, integrations, and operational visibility. Those systems often create more value than a surface-level app refresh.

The stack depends on the job, but Aimay commonly works with TypeScript, Next.js, Node.js, PostgreSQL, Supabase, and modern cloud tooling. The selection follows the operational constraints, not fashion.

Aimay is based in London, UK, and works remotely with teams across time zones.