Litmas AI: Revenue, team 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 · sold 28 months after launch

Three founders built it without outside money in 2023, and the first message, that it replaced lawyers, scared the customers away. They changed it into an assistant for lawyers, connected it to the Spanish official gazette and court decisions, and had it take the Spanish judiciary entrance exam in front of a notary. According to Merca2, that public test turned a handful of customers into hundreds a month. Doctrine, a French legal AI company, bought it in February 2026.

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 · 15 months after launch

It was built by a practising lawyer who knew the problem, and it was launched on the Instagram account of a lawyer with a large audience who became his partner. In the founder's account to the Micro-SaaS case study, about 400 people started the free trial on launch day and 40 of them paid.

Team of 2 to 10 · 20 months after launch

The founder had sold several companies, one of them to the private equity firm KKR, by the company's About page, and found each time that owners had little visibility into what their company was worth or who might buy it. Large language models made it possible to turn financial statements and transaction data into a written valuation report in minutes, so a small team could offer a free first valuation to owners and use it to reach them years before a sale.

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 · 4 months after launch

The founders had worked inside healthcare billing before, so they knew that insurance follow-up calls are a large, repetitive and expensive part of the work. A voice model can now hold this kind of short, scripted business conversation. The company sells to health systems and billing firms through pilots, and the founders said in November 2025 that every pilot had become a paying customer.

Solo founder · 7 months after launch

Designers often want a second opinion before a client review and have no colleague to ask. The maker is a product designer with more than 25 years of UX work, so the critique format follows how a senior designer reviews work: name what is unclear, then give three concrete changes. The first three critiques are free, and a subscription is needed after that.

Team of 2 to 10 · 50 months after launch, revenue growing

The founder is a search-and-rescue dog handler who saw that teams still kept paper logs. Professional dog units must prove training for certification, audits and court, so a structured record with timestamps and edit history has a clear buyer. The AI summaries turn those records into advice without extra work for the handler.

Team of 2 to 10 · 10 months after launch

The founder spent twenty years in supply-chain and production roles and saw new workers struggle to learn from scattered documents while experienced operators retired. The product records what experts do and turns it into guidance that a new worker can follow in their own language.