Maite.ai: Revenue, sale and how it was built

Team of 2 to 10 · sold 17 months after launch

Four founders, two of whom had built the drinks-delivery start-up Winelivery, looked for a profession that works with a large, fast-changing body of rules and had not yet adopted AI, and chose Italian accountants and labour consultants. They tested a first version with practitioners and sold monthly subscriptions. In October 2025 TeamSystem, an Italian maker of software for accountants, bought the majority of the company; its press release said Normo.ai had €1.3 million of revenue in 2025.

Team of 2 to 10 · 15 months after launch, revenue growing

It sells one narrow job to one profession in one country: missed calls at small Belgian law firms. The site, the blog and the terms are written for lawyers at the Belgian bars, in French, with answers about professional secrecy and GDPR that this buyer asks first. A small firm pays a fixed 90 euros a month instead of a part-time secretary.

Team of 2 to 10 · 6 months after launch

The founders are lawyers who built the legal departments of two Berlin startups, and the CEO writes that he knows the frustration with old legal software from that work. LawX replaces the whole office system instead of adding one more AI tool, it charges one price per user for the whole team, assistants included, and every AI suggestion waits for a person to approve it. tech.eu reported in May 2026 that the next step was the broader law firm market.

Team of 2 to 10 · 21 months after launch

One founder had worked as a corporate lawyer and the team sold directly to law firms and banks that it already knew. The product was built on Indian court material, which global tools cover less well. Customers made it part of daily work: when the platform went down for maintenance, users called and messaged the team to ask when it would return.

Team of 2 to 10 · 6 months after launch

The founder is a New York trial attorney with about fifteen years of practice, and the company's pages say he built the platform inside his active trial practice and wrote the prompts and templates himself. General legal AI tools are not built for one task such as contested litigation; this one is built only for that. Its pricing page says usage is designed to be passed to clients as a disbursement, like research time on Westlaw or Lexis.

Team of 2 to 10 · 3 months after launch

It is built for one kind of legal work, litigation, by a co-founder who practiced it. General AI chat tools have produced invented case citations that courts have punished, and Litmas AI sells a check of every citation against real court opinions as its main feature. The company stated that its demand came mainly from inbound marketing, and it priced per case so that small and contingency-fee firms can start small.

Team of 2 to 10 · 18 months after launch

Brazilian import costs are hard to predict: the co-founder says that taxes, freight and insurance are about half of the cost of an imported product, and more after a mistake. Many importers still calculate this in old spreadsheets. HeyShip turns the invoice into a cost estimate in minutes and adds warnings about controls and permits.

Solo founder · 27 months after launch, revenue growing

Said US$245K a monthRecords US$263K MRRSaid less than the records

The founder took a twenty-year-old product category with no open-source entry and open-sourced all of it, which gave him millions of Docker downloads and 37,000 GitHub stars without a marketing budget. Revenue stayed small for a year. It multiplied when he turned the product toward people who automate their posting with n8n workflows and, from late 2025, with AI agents, which need an API-first scheduler and keep paying because they post without human effort.

Team of 2 to 10 · 19 months after launch, revenue falling

Said 500+ paying agenciesRecords 207 subscriptionsDid not hold

The founder had an audience before the product existed: a daily YouTube show about SEO since 2023 and an X account that has 62,000 followers today, so the first customers cost nothing. A developer co-founder built the software with AI coding tools. The product started as one plain rank tracker at US$19 a month, grew into a bundle at US$57 to US$2,997 a month, and by July 2025 the first payment of a new customer from a paid ad covered the cost of that ad.

Team of 2 to 10 · 45 months after launch, revenue falling

Said US$19K a monthRecords US$9.6K in JulyDid not hold

It appeared in January 2023 inside Google Slides, a program where people already work, when writing slides from one sentence was new, and users showed it to each other without paid advertising. A blog about presentation topics then brought about 80% of new users from Google search, by the founder's account. Both channels weakened: search traffic fell, and Google added the same function to Slides. The verified total is real, and so is the fall: monthly revenue fell by half between February and July 2026.

Started small, grew after funding · sold 11 months after launch

Its founders wrote some of the methods that the industry already used to run models cheaply, such as AWQ for 4-bit weights. They turned that research into a paid serving API, proved the speed on a public benchmark, and partnered with a cloud company that needed exactly that speed. Eleven months after its first public post, the partner agreed to buy it.

Solo founder · sold 5 months after launch

It launched in the month that AI models became good enough to write a whole app. It sold to people who cannot program, it charged from day one, and it was sold to a company that already had millions of customers.

Solo founder · sold 5 months after launch

Its result is a before-and-after picture of the user's own face, which a short video shows in seconds. The founder chose TikTok as the channel before he built the app, then tripled revenue from almost the same installs by moving and testing the paywall with Adapty.