This article covers Superbo, an AI startup, taking a strategic investment from Deep Capital Group to expand its Opero Suite into enterprise deployments across EMEA and the United States. The development aims to support enterprises seeking to automate workflows and convert corporate knowledge into action-oriented automation, and will be of interest to enterprise tech buyers and AI investors.
Superbo, an AI startup based in London, has taken a strategic investment from Deep Capital Group as it pushes its agentic AI platform — the Opero Suite — into more enterprise deployments across EMEA and the United States. The deal, whose size was not disclosed, signals ongoing investor interest in tools that turn corporate knowledge and systems into action-oriented automation.
Enterprises are moving beyond chatbots toward systems that can act on behalf of people: linking internal systems, executing workflows and delivering measurable outcomes. Superbo positions itself in this shift with technology it says reframes operating models rather than simply adding new software layers. For corporate customers, that promise — if realised — can mean faster process automation, fewer handoffs and a clearer path from conversational prompts to completed tasks.
The announcement also reflects continued appetite from AI investors for enterprise automation plays that combine dialogue, API orchestration and autonomous agents.
Superbo’s Opero Suite is described as a set of modules that convert enterprise knowledge into intelligent dialogue, build cognitive workflows that tie systems together, and run autonomous agents to achieve outcomes.
Those capabilities are aimed at organisations that want automation to move from pilots into operational routines across functions such as service, operations and knowledge work.
The investor is Deep Capital Group, an international investment group founded by Dimitris Maris. Maris previously led the creation and expansion of Kaizen Gaming International, a background the firm highlights when describing its experience in scaling technology businesses.
Deep Capital says it manages a diversified portfolio across multiple regions and sectors, with a focus on long-term value creation and technology innovation. The group’s involvement in Superbo is presented as strategic: beyond capital, Deep Capital intends to offer guidance and access to its network across technology, media and gaming to support Superbo’s expansion plans in EMEA and the United States.
No financial terms were disclosed in the announcement.
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In the announcement, Demetri Papazissis, CEO and co-founder at Superbo, said:
Conversation is only the starting point. Real transformation happens when AI agents can act, drawing on enterprise knowledge and systems to drive outcomes. Partnering with Deep Capital is like harnessing the energy of a supernova. Its experience in scaling technology companies and its visionary leadership will help us accelerate our Opero roadmap, hire exceptional talent and bring our agentic vision to more businesses worldwide.
Papazissis frames the investment as a way to accelerate product development, recruitment and geographic expansion.
This deal sits within a larger wave of enterprise AI funding focused on automation, agent frameworks and system orchestration. Investors and corporates are evaluating whether agentic AI can move past proofs of concept into regulated, production-grade operations that deliver ROI and comply with governance requirements.
For UK and European startups building agentic solutions, the priorities are practical: robust integrations, auditability and clear outcome measurement. Policy and regulatory scrutiny of AI in Europe means vendors must also account for compliance and explainability as they scale.
Superbo’s tie-up with Deep Capital underscores how strategic investors with operator experience are increasingly seen as useful partners for startups attempting to commercialise complex AI infrastructure.
The move will be watched by enterprise tech buyers and AI investors across Europe as vendors try to shift from conversational demos to systems that reliably execute work at scale.
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