Komprise helps customers reduce over 70% of costs while managing data growth.
Unstructured Data Management as a Service: Optimize Costs and Deliver Data Value
Komprise is the industry’s only hybrid, storage-agnostic unstructured data management solution that frees you to analyze, mobilize, and access the right file and object data across clouds without shackling your data to any vendor.
Cut 70% of your data storage, backup and ransomware costs by right-sizing and right-placing data, while making it easy for users to unlock data value for AI and analytics use cases.
Read Solution Brief What is KDX?
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How does Komprise improve AI data quality and results?
Komprise helps organizations cut data noise by identifying stale, duplicate, low-value, or sensitive unstructured data before it reaches AI pipelines. This helps AI models use cleaner, more relevant enterprise data, improving accuracy, trust, and ROI. Learn more.
How does Komprise prepare unstructured data for AI and RAG pipelines?
Komprise analyzes, classifies, tags, and curates file and object data across NAS, cloud, and SaaS environments so teams can feed the right datasets into LLMs, vector databases, RAG workflows, and analytics platforms faster. AI data preparation guide.
Can Komprise reduce the cost of AI initiatives?
Yes. Komprise lowers storage and backup costs by 70%+ through intelligent tiering and right-placement of cold data, helping organizations redirect budget toward GPUs, compute, model development, and AI innovation.
How does Komprise help govern AI data usage?
Komprise helps detect sensitive data, apply tags and policies, track lineage, and maintain audit logs so organizations can use enterprise data in AI workflows more securely and in alignment with governance requirements.
Why is unstructured data management essential for enterprise AI?
Most enterprise data valuable to AI lives in files, documents, images, audio, and other unstructured formats spread across silos. Komprise provides a storage-agnostic data management plane to discover, mobilize, and operationalize this data for AI without vendor lock-in.