From business model to hosting, every piece is designed so your product sells, scales and stays yours.
Pricing, launch scope and the cost of every user, including AI usage, are worked out before we build, so the product pays from its first customers.
Accounts, sign-in, roles and emails are ready on day one, so nothing needs rebuilding when the product takes off.
If your software sells by subscription, plans, free trials, invoices and payment reminders run on Stripe from launch.
Used in-house, the software connects to your CRM, accounting or ERP, and data moves between them without retyping.
Revenue, churn, activation and AI costs stay in view, so every decision rests on current numbers.
AI features make the product smarter without inflating the bill, through caching, the right model for each task and per-user limits.
Everything that runs your product is in your name, monitored and backed up, and you choose who builds it next.
Six building blocks around Next.js, chosen so a product that launches small can grow large on the same foundations.
acmelang.com
Application
Application
React framework for the app and its admin.React framework for the app.
Accounts
Accounts
Accounts and roles, with sign-in by email or a third-party provider.
Payments
Payments
Subscriptions, invoices and reminders.
Data
Data
The go-to relational database.
Analytics
Analytics
Usage, user journeys and retention.
Assistant
Agents that act inside the product on behalf of your users.
A project that leaves you freer than when you started. The hosting, the code and the know-how to evolve them stay in your hands.
We map your workflows and pick the highest-value AI use cases before we build.
Custom-built on proven open source technology, with regular progress reviews.
Shipped to production with monitoring, security and full documentation.
Your people learn to run, extend and trust the AI.
The studio writes up its projects, from technical decisions to the limits it hit in production, so you can start yours a step ahead.
An AI-first company designs its work around AI from the start: for each task it asks whether AI should do the first pass, and people then review, decide and improve. To become one, map how work really runs, pick a few workflows, build for your team, train people to run it, and measure the change.
Strategy
AI helps law firms by taking on routine, document-heavy work: client intake, document review, research support, first drafts, time capture and searching the firm's own knowledge. It saves fee earners time and speeds up responses, but a lawyer must review every output. AI supports professional judgement and does not replace it.