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HelloTwin launches ‘Digital Authority’ to bring governed AI agents to the enterprise

HelloTwin introduces Digital Authority, an accountable AI twin that integrates business intelligence and goals into a deterministic, auditable single source of truth, enabling governed AI agents for enterprise decision-making.

SourceSiliconANGLE AIAuthor: Kyt Dotson

HelloTwin.ai GmbH today announced what it calls an accountable artificial intelligence AI twin that holds business intelligence and goals in a single source of truth.

HelloTwin said it built its data model on a patent-pending compiler designed to pull answers from business context rather than generate them. This means that the agentic identity for the business is deterministic; the company calls this “Digital Authority,” and it’s designed to be auditable and trusted to make business-critical decisions.

“Agents are the hands. A Digital Authority is the head,” said co-founder and Chief Executive Kay Iversen. “It holds the goal, decides on governed truth and directs humans and agents within clear boundaries to achieve these goals. That is the entity you can actually delegate to and it is what businesses have been missing.”

If it can manage this digital twin capability, it would help create what theCUBE Research’s Dave Vellante and George Gilbert call the System of Intelligence. It’s a layer that would allow AI agents to act reliably, including a data foundation, governance and semantics, context harmonization, agentic control and intelligence.

HelloTwin compresses all five layers into a product packaged for businesses that doesn’t require data experts to prepare it. That’s a bold claim.

The company says it handles this in two layers: First is a semantic Digital Twin that contains a governed model of the business, with every definition, metric and relationship of the company’s tools, as a single source of truth. This is the critical central reflection of truth that holds the data and the context.

Second, the Digital Authority presents an accountable AI running on top of it, assigned a specific role and a goal. The AI holds a mandate, directs the agentic layer and owns the result. The answers are then compared against the semantic model to eliminate hallucinations.

According to the company’s website, Twins roles include finance, marketing, sales, success, product, engineering and operations. Although a single Twin governs its function, multiple Twins cooperate between boundaries, formulate governance and translate the role gap within the wider source of truth.

HelloTwin’s product vision is part of an industry race to build the semantic intelligence layer for agents. In June alone, multiple players have launched products built on the same foundation that AI agents need governed context to act responsibly and reliably. Onix Networking Corp. targets European enterprises with Wingspan, Snowflake Inc. is building it into its data platform. HelloTwin says it can deliver the same thing to businesses automatically.

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