AI products for funded startups
A working AI product in weeks, on your own accounts, with a written report every week.
Blog / Category
Applications built for how a business actually runs: ordering, scheduling, billing, administration.
Off-the-shelf software fits the average business. When your operation is not average, the workarounds start: spreadsheets beside the system, copy and paste between tools, steps that live in someone’s head.
We build software around how your business actually runs, from the first prototype to a product in production, with the tests, security reviews and weekly reports that let you trust what ships.
This is for you if
Articles
Sixteen weeks of a product had no automated checks. By its September release it had 918, and a gate that blocks any release when one fails. What we built, and the two times the safety net itself needed fixing.
A product that holds several companies’ sales calls must never let one see another’s. Saying so is easy. Here is how we checked it on the live system, and what we built so the answer stays true after every change.
97 code changes, 74 of them written together with an AI coding assistant. How we built SuperEscuela’s student app and teacher records system, and the rules that kept the AI useful and the data safe.
Who holds the repository, the cloud account and the AI keys decides how easy it is to change partners, hire a team or raise the next round. Why we build on the client’s own accounts from the first day.
Self-serve software cannot ask every customer to copy an access key and book a call with their admin. How we built a one-click, read-only CRM connection, and why “what you did not share” deserves a screen of its own.
A billing error would have given top-tier customers a fifth of what they paid for. It was waiting in a feature nobody could test yet. How one round of hands-on review found it, and 30 other problems, before the first invoice.
SuperEscuela is a free school for Spanish-speaking children who may have an old phone and a weak signal. The technical choices that follow from that, and why “light” is a feature, not a compromise.
After a raise, the instinct is to hire. Hiring is right, but it is slow, and the first months decide what the next round sees. When a senior team that ships from week one makes more sense, and how it should hand over.
A sales-coaching expert had a method proven by hand, a clickable mockup and an 8-week plan. The core product was working in eight weeks, as planned. Week by week, what that took, and how risks were handled along the way.
Related work
Sales technology · client details withheld
A sales-coaching expert had a method proven by hand and a clickable mockup. We built the product around six AI agents that score calls against the client’s own scorecard, watch the CRM pipeline, prepare managers, coach reps, run one-to-ones and diagnose dips, with self-serve sign-up, CRM connection and billing.
Sales technology
Financial services · client details withheld
A management tool for mutual funds, built together with an AI assistant for the team that runs them.
Financial services
Non-profit education platform · our own project
A school that is played: free, ad-free and offline-first, for Spanish-speaking children, with a records system for teachers. Built with an AI pair programmer; its content is written by an AI pipeline against Costa Rica’s national curriculum: 733 topics, 2,786 lessons and 13,705 practice questions so far.
Education
Tell us where your operation feels slow, repetitive or difficult. We will tell you what is worth building, and what the next practical step could be.
Prefer to write directly? enable JavaScript to see the address