IntellySoft is a senior engineering studio. We design, build and ship AI-native products end to end — backend, agents, web, mobile — with the same team from spec to launch.
No handoffs between agencies, freelancers and contractors. The people who design your product also build it, deploy it, and keep it healthy.
Retrieval pipelines, tool-using agents, prompt and cost optimisation, observability and golden-set evaluation. We instrument every release so quality never silently regresses.
Opinionated, accessible, fast. Designed in the same repo we ship from.
Next.js, Flutter, Django, FastAPI. Typed end to end, tested where it matters, deployed on the platform that fits your stage.
Postgres, Redis, Qdrant, Kubernetes. We pick proven defaults so the interesting work happens in your product, not in your YAML.
Same methodology on every engagement, scaled to project size — discover, build, iterate. Six steps under the hood, no surprises in the middle.
We learn your business and write a spec — the source of truth for everyone, humans and AI agents alike. Architecture, scope, the metric that matters.
Design and code in the same repo, shipped on a real cadence. AI is throughout — review, scaffolding, tests — but humans own architecture and quality.
Production rollout with monitoring and evals, then iteration from real usage — not imagined edge cases. We stay on as long as it is useful.
One team, one spec, four kinds of work — most engagements combine two or more.
Custom agents wired into your tools and data. Tool-use, memory, evals, guardrails — built so they actually run in production, not just demo well.
We plug models and agents into the tools you already run — CRM, ERP, support, internal apps — so your team gets compounding gains without changing how they work.
From marketing sites to dashboards and SaaS products. Fast, accessible, type-safe end-to-end — and designed in the same repo, not handed off as Figma.
Native-feel apps with React Native or Swift / Kotlin where it matters. Offline-first, push, deep links — and a release pipeline that doesn't break on Friday.
“They wrote a spec in week one that we still reference. Six weeks later we had a product, not a prototype.”
“The eval suite they built caught two regressions before users did. That alone paid for the engagement.”
“Senior, opinionated, and they push back. Exactly what you want at the start of an AI product.”