Built in Vienna. Built for regulated finance.
Ravi Agarwal holds an MSc in Electrical Engineering from Brussels and brings a combination that is rare in the fintech landscape: applied AI research experience and long-form engineering discipline from a safety-critical industry.
As an AI research student assistant in Germany, he worked hands-on with the model architectures, evaluation methods and machine-learning engineering practices that underpin today's agent systems. This means the company's technical decisions, covering model selection, retrieval design, evaluation sets and guardrails, are made from first-hand research understanding rather than vendor documentation.
Before and alongside that, five years as a software engineer in the automotive industry shaped an engineering culture built on requirements traceability, testing rigor, audit trails and functional-safety thinking. That is precisely the mindset regulated financial work demands, and the reason governance in this product is architecture rather than an afterthought.
We give wealth and asset management firms the AI tools the largest institutions can afford, without making you choose between efficiency and your regulatory obligations.