Zoomin provides a data governance and LLM readiness platform that integrates and enriches unstructured enterprise data from various knowledge repositories, enabling organizations to enhance their AI applications. By streamlining data ingestion and applying advanced retrieval strategies, Zoomin improves the relevance and performance of AI-driven insights across multiple customer touchpoints.
Funding
$52M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to effectively leverage unstructured data from diverse knowledge repositories for AI applications due to challenges in data integration, enrichment, and retrieval. This results in AI-driven insights that lack relevance and fail to improve customer touchpoints.
Solution
Zoomin provides a data governance and LLM readiness platform that addresses the challenges of grounding AI applications with unstructured enterprise data. The platform integrates with various knowledge repositories, including Confluence, Google Drive, and content management systems, to ingest and synchronize large quantities of data. It then enriches this data using AI-assisted strategies and out-of-the-box enrichment pipelines to improve downstream Retrieval-Augmented Generation (RAG) performance. Zoomin offers developer-friendly interfaces to query either a semantic vector database or a knowledge graph populated with a domain-specific schema, applying advanced RAG retrieval strategies for improved relevancy.
Target Audience
Zoomin targets technology vendors seeking to embed the platform to supercharge their AI applications with customer enterprise data, as well as enterprises looking to accelerate the development of home-grown AI solutions.
Features
- Connects to various authoring tools, enterprise applications, content management systems, and websites via out-of-the-box connectors
- Employs advanced RAG retrieval strategies for improved relevancy
- Offers omnichannel rendering to present content consistently across web applications, portals, CRM, and conversational co-pilots
- Provides a purpose-built event data pipeline, rich visualization layer, and graph-based insights for continuous improvement
- Supports semantic search to understand the meaning behind queries and deliver context-aware results
- Integrates with developer-friendly interfaces to query semantic vector databases or knowledge graphs