On January 23, 2026, Singapore-based AI-powered corporate services platform Osome announced via PRNewswire that it has appointed Eugenio Ferrante as CEO. The company reported back-to-back record months for new-customer revenue in November and December 2025 and said AI-driven automation has helped push annual recurring revenue and average revenue per user up more than 20% year-on-year.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Osome sits in a growing class of AI‑enabled vertical SaaS platforms where the ‘AI’ is not a flashy chatbot but a dense layer of automation over paperwork, accounting and compliance. The company claims it now serves roughly 10% of all tech startups in Singapore with an in‑house platform that blends proprietary models and human experts to handle incorporation, bookkeeping and filings across multiple jurisdictions.([prnewswire.com](https://www.prnewswire.com/ae/ar/news-releases/u0634u0631u0643u0629u002Du006Fu0073u006Fu006Du0065u002Du062Au064Fu062Du0642u0642u002Du0646u0645u0648u064Bu0627u002Du0642u064Au0627u0633u064A-302668738.html)) That sort of mundane back‑office work is exactly where AI can quietly consume millions of white‑collar hours without much fanfare.
In AGI terms, the interest here is how companies like Osome operationalize AI at scale: not as a single frontier model, but as a workflow engine that uses models, rules and humans in combination. Their reported growth suggests that ‘AI as infrastructure’ for small businesses is a viable business model, and that more of the world’s transactional and regulatory data will flow through AI‑mediated systems. That data—if retained and anonymized—becomes training fuel for increasingly capable agents that understand corporate processes end‑to‑end, which is precisely the kind of capability AGI‑oriented labs want.



