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Kaltura Acquires eSelf.ai, Enhancing AI for Structured Data Queries

eSelf.ai acquired by Kaltura

AcquisitionTechnology/Analytics

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eSelf.ai logo
Acquired

eSelf.ai

Data Infrastructure and Analytics

Undisclosed amount

November 10, 2025

Kaltura logo
Acquirer

Kaltura

Software Development

Kaltura has acquired eSelf.ai for an undisclosed amount, marking a strategic expansion into AI-powered data analytics. This move sees Kaltura, a leading provider of video technology and enterprise communication solutions, integrate Selfr's innovative non-hallucinating AI models. Selfr is known for pioneering a new standard in data querying with proprietary non-autoregressive AI models purpose-built for structured data, which are designed to be incapable of hallucinating by design, ensuring 100% trusted answers at scale.

Selfr’s unique technology directly addresses critical industry challenges posed by traditional Large Language Models (LLMs), which are prone to generating inaccurate or fabricated information. By offering transparent, auditable, and controllable AI for analytics, Selfr provides factual answers that never need second-guessing. This capability is crucial for self-served analytics, customer-facing AI features, and autonomous agentic workflows where data integrity and trust are paramount.

The acquisition is strategically poised to enhance Kaltura’s offerings by embedding highly reliable and factual data intelligence across its platform. This synergy will enable Kaltura to provide its customers with unparalleled accuracy in data analysis, potentially improving insights from video usage, operational metrics, and user engagement. The integration of Selfr’s trusted analytics agents will allow Kaltura to deliver more robust and verifiable data-driven solutions, reducing risks associated with misinformation in critical decision-making processes.

Looking ahead, the combination of Kaltura’s extensive video cloud platform with Selfr’s non-hallucinating AI capabilities is expected to set a new benchmark for data trust and operational efficiency within enterprise solutions. The combined entity is positioned to empower businesses with secure, reliable, and precise insights, driving innovation in areas requiring high-stakes data interpretation and autonomous system reliance.

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