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| Description | ||||
| Summary | GenAI data platform that transforms complex, unstructured and multimodal data into clean, structured, AI-ready inputs for RAG, search, analytics, and LLM applications. | |||
| Description | Processes 64+ file types with connectors, partitioning, VLM parsing, chunking, enrichment, embedding, and workflow/API endpoints to prepare enterprise data for RAG and GenAI pipelines. | |||
| Positioning | Data preparation layer for GenAI and RAG | |||
| Key facts | ||||
| HQ location | San Francisco, CA, USA | |||
| Founded | 2020 | |||
| Employee range | 51-200 | |||
| Funding stage | Series B | |||
| Company type | Private | |||
| Pricing model | licensing open source, subscription, usage based | |||
| Last updated | Jun 21, 2026 | |||
| Financials | ||||
| Revenue estimate | $7.7M ARR estimate (Latka, Jan 2025); company revenue not officially disclosed | |||
| Valuation estimate | ~$230M reported/estimated Series B valuation | |||
| Investments | $65M total; $40M Series B announced Mar 2024 | |||
| Relationships | ||||
| Target customers | Enterprise AI teams, developers, data teams, companies building RAG and knowledge applications | |||
| Key competitors | LlamaIndex, LangChain, Upstage, Haystack/deepset, Pinecone, Weaviate, Databricks | |||
| Known customers | Not publicly disclosed | |||
| Segments & Industries | ||||
| Segments | AI Workflows, AI Developer Tools, Knowledge & RAG, Document AI, AI Governance & Risk, Chatbots, Analytics & BI | |||