Remote AI & Rails studio · Serving US, UK & Europe
Software that compounds
Custom AI software development for international teams — generative AI, ChatGPT and LLM integration, copilots, and agents inside real web, mobile, and CRM products. Built on Ruby on Rails by a senior remote team that stays after launch.
- Ship AI into the product. A thin vertical slice first — then harden retrieval, tools, and evals for production.
- Take over a codebase. Audit, stabilise, then add AI where it changes outcomes — without a rewrite.
- Extend your team. Senior engineers embedded in your process, not a black box.
Features that earn ROI
Years building products
Where we are deepest
Typical first reply
What you get
AI-led product services
AI is the lead engagement. The rest is how we design, build, and run the products that carry it.
AI product development
Copilots, agents, RAG, and LLM workflows shipped into production — with evals and cost control.
Custom web development
CRM, ERP, and platforms built to host AI features — not bolt them on later.
Mobile development
iOS and Android apps with on-device or API-backed AI assistants users actually keep.
UX & UI design
AI interfaces that show confidence, citations, and fallbacks — not a blank chat box.
CRM development
Pipelines with AI drafting, scoring, and summarisation wired into the workflow.
Ruby on Rails
The backbone for AI features — jobs, vectors, APIs, and upgrades that stay maintainable.
How we work
From use case to production AI
No discovery theatre. We prove one AI outcome, harden it, then scale what works.
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01
Prove the use case
- Workflow and data audit
- ROI and risk agreed
- Thin vertical slice
- Success metrics defined
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02
Build for production
- Retrieval, tools, guardrails
- Weekly shipped increments
- Cost and latency budgets
- Direct access to engineers
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03
Operate and improve
- Eval suites and tracing
- Model and prompt iteration
- Roadmap owned together
- Support that does not lapse
Technology
Depth where it matters
AI models change weekly. We keep the product stack small and well understood — so you can swap models without rewriting the business.
AI & models
Providers and patterns chosen for the job — not whatever is trending this week.
Back-end & data
Domain models, jobs, and retrieval that hold up as AI traffic grows.
Front-end & platform
Interfaces and deployments that make AI feel native to the product.
Let's talk about the AI you want to ship
Tell us where you are — an idea, a half-built product, or a system that needs AI that earns its keep. We will reply with a practical next step.
