Freed: Revenue, team and how it was built

Team of 2 to 10 · 21 months after launch, revenue growing

The two founders first ran an AI calling agency for any industry, which barely covered costs and lost customers. In January 2025 they narrowed to one niche, allied-health clinics on one practice system, and built deep booking integrations and local-accent voices for it. The co-founder said that customers called the first price cheap, so they raised it.

Team of 2 to 10 · 38 months after launch

In the United States many medicines need the insurer's approval before the pharmacy can fill them. That approval still means forms, faxes and phone calls. The two founders had worked at healthcare software startups. They built a system that reads the insurer's rules and the patient's chart and does the form work. The Lean AI Leaderboard listed it at US$6 million a year with 5 employees in March 2025.

Team of 2 to 10 · 8 months after launch, revenue growing

One founder's mother is a doctor, her clinic was the first user, and the founders say they spent years inside clinics before building. The founders say that, instead of one narrow tool, their engineers assemble reusable workflow blocks for each practice in days. So a practice can start with one painful task and add more. The founders said in June 2026 that 80% of growth came by word of mouth.

Team of 2 to 10 · 6 months after launch, revenue growing

The three founders ran a dental marketing agency and their own call center for two years before they built the product. So they knew where clinics lose patients: calls that go to voicemail after hours, and insurance questions that need a call back. They connected the voice agent to the clinic software that already holds the calendar. They added live insurance verification, which they say no other system did during the call.

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. The founders said in November 2025 that every pilot had become a paying customer.

Team of 2 to 10 · 11 months after launch

The founders say that setting up this kind of database by hand takes companies two to three months per trial. They also say that clinic staff spend hours typing records into it. Harbor turns the protocol into a draft database in about 10 minutes. It turns the paper records into form entries with a confidence score for each value. So a small sponsor can start a study in days.

Team of 2 to 10 · 6 months after launch

The founders are lawyers who built the legal departments of two Berlin startups. 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. 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 · 17 months after launch

Companies that let staff use AI need one login and one bill. They need rules on which model each team may use. They also need a way to share what works. AICamp sells that layer on top of the model providers, per user, to small and medium-sized companies. The directory Arrfounder listed it at US$25,000 a month in a record created in June 2025, 17 months after the private beta.

Team of 2 to 10 · 17 months after launch

In complex B2B software sales, the account executive often cannot answer a technical question and promises an answer from an engineer next week. DeltaGen answers from the seller's own documentation within about three seconds, so the rep can answer on the same call. It sits on the rep's screen and joins no meeting as a bot. The company sells this as its main difference from tools such as Gong.

Team of 2 to 10 · 32 months after launch, revenue falling

It sold one promise that a customer can measure: a first reply to every new lead within 10 seconds. It sold this to businesses that already pay for many leads through Meta ads. A demo on the website brought sales calls through organic search before the product was built. Revenue then fell from US$9,000 to US$12,000 a month in late 2025 to under US$2,000 in September 2026. In the same months the founder launched other products.

Team of 2 to 10 · 33 months after launch, revenue falling

The product goes where the customers already are. A shop owner does not install a new app or learn accounting software. Instead, the owner writes into a chat. The founder wrote of having worked as a data scientist at a microloan company and of running a café. So the founder knew both the bookkeeping problem and the reason banks ask for records.

Solo founder · 19 months after launch, revenue growing

The founder, a digital nomad, had collected more than 1,000 receipts from many countries to track his own spending. He built the app for that use. It reads every line item instead of only the total, which matters for travellers with receipts in foreign scripts and currencies. Small, steady releases widened the market: 25 versions between 21 January and late October 2026. A translation of the app into 52 languages did the same, without a team.

Solo founder · 13 months after launch, revenue growing

A founder who had sold courses since 2022 built the email tool that he wanted for himself, and priced it by emails sent. His own newsletter was the first test of it, and the product now lets AI agents run an account.

Solo founder · 12 months after launch, revenue falling

The founder built a tool that he wanted for himself as a runner. He trained with a human coach from late July 2025 and stopped a marathon at kilometre 32. The product keeps what he valued in that coaching: varied sessions, pace ranges and a plan that follows what he runs.