Komprise, the leader in analytics-driven unstructured data management, today announced Komprise AI Preparation & Process Automation (KAPPA) data services. This first-of-its-kind serverless compute offering allows enterprises to define and execute custom per-file data operations across massive unstructured datasets without provisioning or managing infrastructure, addressing the unique challenges of preparing diverse file data for AI.
Unstructured data—spread across silos with inconsistent quality—remains difficult to leverage for AI. Traditional ETL tools and pre-built connectors are slow, inflexible, and expensive to customize for industry-specific or department-level needs. KAPPA eliminates these hurdles by providing a serverless execution environment where users define only the per-file logic. Komprise handles scaling, parallel processing, pre/post-processing (e.g., spinning up/down cloud AI services), lifecycle management, and compliance.
This approach shifts focus from infrastructure to business value: rapid metadata enrichment that makes data searchable, governable, and AI-ready while conforming to security models and regulatory requirements.
“Enterprises are realizing that the unstructured data that has been piling up for decades is now a goldmine for AI, but it’s incredibly hard to tap into,” said Kumar K. Goswami, co-founder and CEO of Komprise. “Since nearly every enterprise has unique needs, KAPPA data services deliver a nimble, serverless compute architecture for custom metadata enrichment at scale.”
“Valuable metadata including embedded information from media asset management tools and contextual enterprise-specific metadata which are key for AI are lost when files are stored,” said Aaron Cardenas, CEO of P1 Technologies. “Kappa data services allows us to enrich file metadata and customize it to our clients’ needs with incredible ease and speed, while also conforming to their security models. This new functionality from Komprise is making a tremendous difference in the outcomes of our projects.”
KAPPA supports autonomous agentic AI by allowing agents to invoke custom functions directly for data preparation tasks. This parallelism accelerates complex workflows, such as enriching files across distributed storage for downstream AI models or analytics. Combined with Komprise’s existing Intelligent Data Management and Smart Data Workflows, KAPPA creates an end-to-end path from raw unstructured data to governed, production-ready AI inputs.
Komprise AI Preparation & Process Automation (KAPPA) data services are currently in an early access program for customers.
About Komprise
Komprise connects unstructured data management with AI through a unified platform. With Komprise Intelligent Data Management, enterprise IT can easily analyze, migrate, transparently tier and manage the lifecycle of petabytes of file and object data across hybrid environments. Organizations gain full visibility across silos to optimize storage, backup, ransomware and cloud costs. Komprise Smart Data Workflows and the Komprise Global Metadatabase unlock rich unstructured data context and governed access for AI.
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