
Reducto AI
Document ingestion engine for large language models and retrieval augmented generation.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
investor investor investor investor investor investor investor investor investor investor investor investor | €0.0 | round | |
* | $24.5m | Series A | |
Total Funding | 000k |
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Reducto.ai is an innovative startup specializing in high-quality data ingestion for large language models (LLMs). The company focuses on parsing complex documents and optimally chunking content to enhance retrieval-augmented generation (RAG) performance with any vector database. This means Reducto.ai helps businesses process and organize large volumes of data more efficiently, making it easier to retrieve and use relevant information.
Reducto.ai primarily serves enterprises and organizations that handle substantial amounts of data and require advanced data processing capabilities. This includes sectors like finance, healthcare, legal, and technology, where managing and extracting meaningful insights from vast datasets is crucial.
Operating in the data processing and artificial intelligence market, Reducto.ai employs a subscription-based business model. They offer tiered pricing plans based on the volume of pages processed and additional features required. The standard plan costs $0.02 per page for standard volume usage and $0.01 per page for high volume usage. For larger workloads, they provide growth and enterprise plans with lower per-page costs and dedicated compute resources. These plans also include additional features like layout-based chunking, structured data extraction, and dedicated support channels.
Reducto.ai generates revenue through these subscription fees, with additional charges for specific features such as automatic bar graph parsing. By offering scalable solutions tailored to different business needs, Reducto.ai ensures a steady stream of income while catering to a diverse client base.
In summary, Reducto.ai is a cutting-edge startup that enhances data processing for large language models, serving various industries with scalable, subscription-based solutions.
Keywords: Data Ingestion, LLMs, Document Parsing, RAG Performance, Vector Database, Subscription Model, Enterprise Solutions, Data Processing, AI, Scalable Solutions.