Operational Intelligence for Regulated Industries
Turning documents, records and institutional knowledge into automated workflows — with complete data sovereignty.
In regulated industries — defence, financial services, healthcare, logistics — critical work still depends on unstructured documents and fragmented knowledge. Teams spend days manually extracting, validating, and reporting information from scanned documents, handwritten forms, and inconsistent records, where mistakes carry real consequences. Public AI models are generic, costly, and fundamentally incompatible with the privacy and data sovereignty requirements these organisations face. The result is that information remains operationally inaccessible, even as it grows in volume and importance.
Akro automates that work. Founded in 2025 Akro has built a proprietary platform using a network of specialised models that extract data from scanned documents, handwriting, and messy forms more accurately than frontier AI — running faster, at a fraction of the cost, and deployable entirely on client infrastructure for complete data privacy.
Learn more at akro.ai


Fund
Amigos 1
Co-investors
Angels
Founders
Marcus Quek, Brian Tang
CEO
Marcus Quek
"What stood out to us was the founders themselves: their conviction, technical depth, and pace of execution. The traction Akro has built in just one year speaks to their ability."
Sovereign AI is not a trend — it's a structural requirement for how defence agencies, financial institutions, and regulated enterprises will deploy intelligence for the foreseeable future. Akro sits at the centre of this shift with a platform purpose-built for the most demanding, security-critical environments. What gives us conviction is the speed of execution: from early prototype to production deployments with government and enterprise customers in just twelve months, on a bootstrapped team. Marcus and Brian have built something most AI companies claim but few deliver — enterprise-grade intelligence that never leaves the client's walls, with accuracy that outperforms models hundreds of times larger. We are proud to lead this round and partner with them on this journey.