"Enterprises attempting to adopt AI at scale typically spend months testing integrations, stitching together tools, and building prototypes that prove difficult to move into production. Alomana's approach is to abstract that complexity away, allowing organisations to deploy personalised AI across their existing systems and deliver measurable output quickly."
"The platform can perform advanced data analysis across large database tables, generate full-stack applications, build custom AI agents for specific teams, and automate mission-critical processes such as financial controls, risk and security flows, and operational tasks, all within a single orchestration layer."
"Enterprises waste enormous energy on prototypes instead of outcomes. We abstract away the integration and customisation complexity. Companies can run personalised AI across their systems and deliver production-level value immediately."
Alomana, a Milan-based AI startup, secured €4 million in seed funding led by CDP Venture Capital to scale Alo, its enterprise AI operating layer. Alo executes autonomous workflows across the entire enterprise stack, performing advanced data analysis, generating applications, building custom AI agents, and automating critical processes like financial controls and risk management. The platform addresses enterprise AI adoption challenges by reducing complexity—companies typically spend months integrating tools and building prototypes that struggle to reach production. Alomana's approach abstracts this complexity, enabling organizations to deploy personalized AI across existing systems and achieve measurable results immediately, transforming how enterprises implement AI at scale.
Read at TNW | Startups-Technology
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