Four products, four paths to recurring revenue

Gamma describes a presentation and document workflow that reached a $100 million ARR milestone and says the company is profitable. Lovable describes an AI software-building product that later reached $200 million ARR. These are company disclosures, not a shared audited accounting table.

Glean reports more than $300 million ARR from enterprise knowledge and AI work. ElevenLabs says its ARR exceeded $500 million in the first four months of 2026. The figures show the scale of recurring demand, while the product paths remain different.

The dates and metrics matter

ARR is an annualized recurring measure. It is not automatically the same as recognized revenue for a fiscal year, cash collected, or profit. A company can disclose ARR while reporting a different revenue period, customer mix, or contract structure.

The scorecard therefore keeps ARR, actual revenue, run-rate, funding, valuation, and profitability in separate rows. Public materials do not establish that any of these companies use APIToken(https://apitoken.company/).

What the businesses actually sell

Gamma sells a workflow for making presentations and documents. Lovable turns natural-language product ideas into software. Glean sells enterprise context and knowledge access, while ElevenLabs sells voice generation and related developer and media workflows.

Recurring revenue follows a repeated job: a team keeps making documents, shipping software, searching internal knowledge, or generating speech. The model is part of the product, but the paid habit is the commercial unit.

A smaller test for a smaller team

A team studying these examples can begin with one narrow workflow and one bounded budget. Use an isolated project key, compare a few models on the same input, and record tokens, latency, editing time, and the delivered result.

APIToken(https://apitoken.company/) can be used as a controlled multi-model entry point for that small test. The figures above are public company claims and should not be presented as a promise of similar results.