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Hoonartek Launches ClearView An Agentic Decision Layer That Activates the Data Estate and Replaces SaaS Bloat

Hoonartek launched ClearView™, an agentic decisioning layer built for enterprises that have invested in modern data platforms but have yet to translate that investment into autonomous, business-driven execution.

Most large enterprises face a common challenge: a mature data estate—lakehouse, cloud warehouse, and years of engineering—combined with a growing stack of point SaaS products, each solving narrow decisions in isolation. The result is rising license costs, fragmented ownership, and AI that operates alongside the business rather than within it.

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Hoonartek’s ClearView™ is designed to change that equation. By treating business decisions as the primary unit of design, it deploys autonomous agents directly above the existing data estate—activating it for real-time decisions while systematically reducing reliance on fragmented SaaS tools.

“Enterprises have already built the data foundation. ClearView™ is what finally turns it on—agents that execute real business decisions, traceable from intent to outcome, without adding another SaaS layer.” 
— Peeyoosh Pandey, CEO, Hoonartek

This shift is resonating at the CFO and CDO level, where SaaS rationalization and AI activation are converging into a single strategic priority.

“The biggest gap in enterprise AI hasn’t been technology—it’s been the operating model for how decisions are made at scale. ClearView™ addresses that directly on top of existing infrastructure.” 
— Rupinder Bhamra, Former Corporate CTO, MSCI

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“Enterprises don’t fail at AI because of bad models. They fail because no one connected the data platform to decisions. ClearView™ closes that gap.” 
— Dejan Deklich, Former CTO, Aisera

ClearView™ operates across three layers: a decision governance layer defining agent authority; RealizeAI, Hoonartek’s AI factory for scaling ML use cases; and BlueFoundry, the execution engine translating business intent into governed agentic workflows. Every decision is traceable from definition to outcome—built-in, not bolted on.

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