Investing in Qi4M’s OrcheXtra: The Agentic Ecosystem to Manage Investment Cycles with Precision
Investing in Qi4M’s OrcheXtra: The Agentic Ecosystem to Manage Investment Cycles with Precision
The problem
In finance, bringing an investment product from concept to client involves a long chain of specialised teams; from product design and portfolio management to risk, compliance, marketing, and distribution, each using different tools and terminologies. This results in a fragmented ecosystem where information flows slowly and is often inconsistent. Without a shared infrastructure, departments maintain separate versions of data and processes, creating digital silos and operational friction.
And while AI tools hold promise, they often add complexity; layering new models and tools on top of an already overloaded stack, rather than simplifying it.
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Subscribe hereThe solution
Qi4M’s answer is OrcheXtra, an AI-native, agentic ecosystem that connects data, processes, and people across the investment value chain.
At OcheXtra’s core is a network of specialised AI agents designed to collaborate in real time. They don’t just generate content, they generate context. Each agent contributes to an integrated decision-making process, ensuring that the insights shared remain coherent, consistent, and always up to date.
Rather than replacing human input, OrcheXtra strengthens it, enabling teams to move faster, communicate better, and align around shared intelligence.
This results in a smarter, more adaptive decision-making flow that enhances collaboration across all layers of an organisation, from analysts to portfolio managers to client advisory teams.
Together, founders Vittorio and Davide built Qi4M around an enterprise-grade agentic AI ecosystem. They validated their enterprise-grade agentic AI model with Mediobanca through the MBSpeedUp programme, embedding OrcheXtra into real operational flows and demonstrating measurable value.
Qi4M represents a shift in how AI is deployed across regulated, data-driven industries. Where most platforms still operate in silos, Qi4M’s architecture enables interoperability, transparency, and controls essential traits for AI adoption in financial environments.
The team
Vittorio Carlei (Co-Founder)
Vittorio Carlei, is an AI expert with over two decades of experience in quantitative finance, enterprise systems, and applied machine learning. Holding a PhD in economics, with more than 30 scientific publications and over 15 patents, he has long worked at the intersection of academia and industry.His research exposed how structural inefficiencies limit innovation in financial institutions, a realisation that shaped Qi4M’s mission: to build an AI-native framework that enhances collective decision-making without replacing human expertise.
Davide Massenzana, (CFA Co-Founder)
Davide joined as co-founder of Qi4M’s strategic evolution, bringing over 20 years of experience working with asset and wealth management clients across Europe. His industry knowledge and background in investment banking reinforced Qi4M’s ability to align technology with concrete institutional needs.
Why We’re Excited to Invest
Andrea Guzzoni, Sector Director, Founders Factory. “We believe the next wave of AI in financial services won’t come from replacing humans, but from connecting them. Qi4M’s agentic ecosystem brings that vision to life, collaborative, compliant, and already delivering value inside a major financial institution.”
What Qi4M is getting From the Programme
Expanding OrcheXtra’s deployment across multiple financial verticals
Strengthening its collaborative AI framework for regulated environments
Refining its go-to-market strategy and partnership model
Deepening connections with institutional clients and technology partners
Building a global network of pilot projects demonstrating the power of agentic collaboration
Qi4M joins Founders Factory’s growing portfolio of startups defining the next wave of applied AI, where intelligence isn’t just generated, but shared.
We're looking for ambitious founders in fintech.
Learn more about our MBSpeedUp investment programme.
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