Giuseppe Ettorre is the Co-Founder and CEO of Alomana, a startup transforming how financial institutions adopt artificial intelligence. With experience in data and statistics teams at Bloomberg and the European Central Bank, Giuseppe has dedicated his career to solving complex problems with innovative solutions.
Alomana was born from a clear idea: banks, asset managers, and large enterprises need highly customized AI agents—agents that can reason, collaborate, and adapt to unique workflows—rather than relying on generic copilots. Their multi-agent platform not only delivers tailored automation but also provides ROI transparency, enabling organizations to measure the tangible impact of AI on time, cost, and accuracy.
In this interview, Giuseppe shares the vision behind Alomana, the challenges enterprises face when scaling AI, and how his team is building “the AI Banker” for the next generation of financial institutions.
1- Tell us a bit about yourself, and how you got the idea for Alomana.
I’m Giuseppe Ettorre, co-founder and CEO of Alomana. Prior launching our company, I have worked in the data and statistics teams of Bloomberg, European Central Bank. During that time, I contributed to several solutions now used by millions of organizations and market operators worldwide. Today, financial decision-making still relies on fragmented documents and data, manual work, and siloed teams. And because every institution works differently, the needs are highly custom.
That’s where the idea for Alomana came from: creating a kind of “company brain”, AI agents that don’t just chat, but can adapt, reason, collaborate, and take on complex workflows the way a trusted banker or advisor would.
2- What problem/ opportunity do you address, and for which customers?
Enterprises are realizing that AI cannot be one-size-fits-all. Each bank, asset manager, or advisory team has unique workflows, processes, data sources, and compliance requirements. Off-the-shelf chatbots or copilots fall short. Many of our customers had already tested existing solutions, but found them too generic, too rigid, or lacking transparency on impact.
We solve two critical needs:
- Highly custom agents: every company or team needs AI agents tailored to their workflows. With our multi-agent builder, we offer our partners autonomous AI applications, combining reasoning, tools, and data access in a modular way.
- ROI transparency: adopting AI at scale requires proof of value. We offer an observability layer that let users monitor, measure, and compare AI agents against manual tasks, showing clear gains in time, cost, and accuracy.
Our customers are financial institutions, asset managers, and large enterprises who want both tailored automation and measurable impact, rather than generic AI demos.
For example, our Private Banker AI cuts memo generation time by 90% and is already used daily by hundreds of top bankers in Europe.
3- What is your solution/ USP, and who do you compete with?
Alomana offers a multi-agent AI platform built for enterprises. Unlike generic AI copilots, we enable organizations to build, deploy, and govern agents that reflect their exact processes and compliance needs.
We continuously work with hundreds industry leaders to offer the best use-cases that enterprises can control, deploy, and govern.
- Plug-and-play vertical agents (i.e.: AI Investment Analyst, AI Market Maker, AI Private Banker, AI Data Analyst etc.)
- Builder framework to create custom agents and workflows using our orchestration layer and a universe of integrations.
- ROI observability: enterprises can monitor and compare AI autonomy vs manual work, ensuring transparency and measurable gains.
- Enterprise-grade compliance – ISO 27001, full auditability, and 100% customer governance.
Competitors include horizontal agent platforms and generic copilots. Our USP is being enterprise-first, with a custom agents, observability layer, and compliance posture that make us a trusted partner for financial institutions and large enterprises.
4- What are the industry trends or market shifts in your space, and any research?
The market is shifting from generic copilots to agents that actually work in production. Enterprises are done experimenting they now expect AI to deliver clear ROI in specific workflows.
The two big shifts we see:
- From demos to deployment: companies want agents that integrate with their systems, respect compliance, and run at scale.
- ROI-first: adoption depends on proving that AI autonomy beats manual work in speed, cost, and accuracy.
That’s exactly where Alomana fits: agents that work, with immediately measurable ROI.
5- What is your company’s current stage and traction?
We’ve just closed our seed round with top investors and are now scaling across enterprise accounts.
Over the past year, we’ve worked hand-in-hand with dozens of financial institutions and large enterprises, building a product that doesn’t just demo well but solves real, day-to-day problems.
This approach has paid off: we’ve secured multiple enterprise deployments, a massive pipeline across banking, asset management, and utilities, and strong validation that Alomana is becoming the trusted AI layer for enterprise workflows.
6- Your plans for the next 6-18 months, and how can our network help?
Working closely with our clients to offer the best AI agents in the market and see them thrive. We are growing our stellar team.
How the network can help: introductions to forward-looking banks, asset managers, and strategic investors who want to transform their performance and productivity with our AI agents.
7- What’s on your bookshelf or podcast app? Your favourite place for a coffee or a drink?
On my desk: Meditations by Marcus Aurelius.
Podcast: Good old Andrew Huberman.
Coffee: my friends at the iconic Gattullo in Milan.
Giuseppe Ettorre’s journey with Alomana highlights a powerful shift in the financial industry: moving beyond generic AI demos toward enterprise-grade agents that deliver measurable impact. By combining deep industry expertise with a commitment to customization, ROI transparency, and compliance, Alomana is positioning itself as a trusted partner for financial institutions seeking to transform their workflows.
As AI adoption accelerates, the companies that will thrive are those that can prove real value—faster, smarter, and more transparent results. Alomana’s vision of “the AI Banker” captures exactly that future.