AI-Native Stack
Every engineer uses Cursor and Claude Code. Designers use v0 for fast UI exploration. Everyone drafts, reviews and documents with AI. This is how we actually work, not a sales wrapper.
Website & Apps
AI-native product development, from prototype to production.
We build products using the same AI-native stack modern startups use, so you get more shipped in weeks than bigger teams ship in months. Our own AI platform, Amy, runs on this exact stack.
Website & Apps
Shipping software used to mean throwing more engineers at the problem. That maths has changed. A small senior team using the right AI tools can now ship in weeks what larger teams used to ship in quarters. We built our own workflow around that shift, use it on Amy and this site every day, and bring the same pace to your build.
Prototype → Build → Ship
What we do
What we deliver
Rapid Prototyping
A working prototype in your inbox in a week. Not slides, not just a Figma file, but software your team can click through and react to. You find the problems while they are still cheap to fix.
AI-Assisted Coding
Our engineers use Cursor and Claude Code every day. AI handles boilerplate, refactoring support and test generation. Our engineers own the architecture, review the code and make the trade-offs. Fast, but still controlled.
Modern Infrastructure
Vercel, Next.js, Supabase, edge functions, monitoring and error tracking. The stack modern SaaS products run on. Not a website with an AI plugin bolted on.
AI-Native Features
Retrieval, agents, voice, integrations with Claude, GPT and other models, and function calling. Built into the product properly, not dropped in as a generic chat widget.
Quality & Testing
AI helps us create tests. Automated regression checks catch issues before release. Load tests run before major launches. A human still runs through the main flows before every deploy.
Team Knowledge Transfer
You leave with the code, documentation and playbooks. Your team gets time with ours so they understand how everything works. If you do not need us after launch, that is a good outcome.
Reference Implementations
We build and run Amy, our own AI platform, on this same stack. What we recommend to you, we use ourselves in production.
B2B Enterprise Ready
SOC 2 certified. We've been through enterprise procurement, security questionnaires and integration reviews many times.
Our process
How we ship
Four phases, with something working at the end of each one.
Website Design & Development
Build, revamp, enhance or reposition your B2B website.
UX/UI Design
Design a new product, or sharpen an existing one, around your users.
Custom Applications
Apps, portals, playbooks and tools, built around your need.
AEO & SEO
Get found by buyers, and by the AI engines they now ask first.
SHIP AI-NATIVE PRODUCT FASTER.
Questions
Frequently asked.
New products from scratch, AI features added to existing products, or embedded engineering support to level up your team. Usually six to twelve week builds, with the option to extend.
Yes. We can ship a project and hand it over, or pair with your engineers for a quarter to accelerate something specific. Either way, your team ends up more capable, not more dependent on us.
Both. If you have existing code, we work in it. If you are starting fresh, we recommend Next.js on Vercel with Supabase because we ship fastest on that stack. But we adapt.
We build so you can swap Claude, GPT-4o or Gemini as the market shifts. Model calls go through an abstraction layer, so the product is not tied to one provider. No unnecessary lock-in.
Custom Applications is where we build specific tools such as calculators, configurators or portals for marketing teams. This page is for engineering leaders who need us to build actual product. Different buyer, different conversation.
Yes. Our free 90-minute workshop maps where AI actually fits in your product before you spend anything on a build.
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