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DATA POEM Unveils POEM365, First Large Causal AI Model

DATA POEM

DATA POEM, an AI-first innovator in the field of Horizontal Causal Intelligence, has officially launched POEM365, a groundbreaking solution built on the world’s first and only Large Causal Model (LCM). Tailored for enterprises with revenues exceeding $500 million, POEM365 is set to revolutionize decision-making across sectors such as automotive, CPG, consumer durables, retail, QSR, e-commerce, and more.

At the core of POEM365 is a powerful foundation—over 250 billion integrated transaction records covering 15,000 brands and $5 trillion in spend. DATA POEM’s proprietary large causal architecture has undergone rigorous testing across varied datasets, demonstrating superior accuracy and setting new performance standards within the AI ecosystem.

The model notably outperformed all previous contenders from the M5 Forecasting Competition—an industry benchmark since 2020. Unlike competitors who relied on more than 200 individual models, DATA POEM achieved its unprecedented results using a single, unified causal architecture. The platform surpassed the long-standing 0.52 accuracy benchmark and outperformed major AI time-series models, including Google’s Times FM, Amazon’s Chronos, Salesforce’s Moirai, IBM’s TTM, and DATA DOG’s Toto—across all timeframes and metrics.

POEM365: Enabling True Enterprise Consciousness

Powered by DATA POEM’s proprietary causal engine, ‘Fount’, POEM365 redefines analytics by moving beyond fragmented data insights toward comprehensive, horizontally integrated intelligence. The platform enables organizations to operate with what DATA POEM calls Enterprise Consciousness—a unified intelligence framework that helps businesses not just understand what happened, but why it happened and how to act on it.

Key advancements of POEM365 include:

“DATA POEM’s proprietary causal architecture ensures the 365 platform can not only process but truly understand the data at scale, allowing for mission-critical business decisions to be made with unprecedented confidence,” said Bharath Gaddam, CEO and founder of DATA POEM. “This represents a monumental leap forward in the field of artificial intelligence which has mostly relied on surface-level statistical correlations. This architecture applies transfer learning to understand non-linear data patterns and relationships, synergies and halo effects with near real-time agility.”

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Intelligent Agents Driving Real-Time Business Decisions

At the heart of POEM365 is an intuitive natural language interface and a suite of specialized AI agents—collectively known as the Causal Poets:

Built for Scale, Security, and Specificity

Engineered for enterprise-grade performance, POEM365 offers private cloud deployment options, complete with advanced security features including hardware-level encryption, zero data exfiltration, and SOC 2 Type II compliance. This ensures that both data and insights remain secure within the organization’s private infrastructure.

Furthermore, POEM365 isn’t a one-size-fits-all solution. It incorporates industry-specific models trained on sector-specific data sets, including verticalized offerings like POEM365^Auto, POEM365^CPG, POEM365^Retail, POEM365^Durables, POEM365^Hospitality, POEM365^Ecomm, POEM365^Electronics, POEM365^Fashion, and POEM365^QSR. These specialized models integrate seamlessly with the platform’s horizontal intelligence framework, delivering both vertical depth and enterprise-wide alignment.

Modular Deployment: Studio, Verse, and Rhyme

DATA POEM offers POEM365 through three tailored deployment options:

With POEM365, DATA POEM empowers enterprises to move from passive analytics to active intelligence, enabling businesses to plan, optimize, and act with clarity and confidence like never before.

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