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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Refuel AI
Refuel AI

Refuel AI

Founded by Rishabh Bhargava

Use LLMs to create, label, and enrich your datasets at better-than-human accuracy. Classify text, extract information from documents, and so much more in minutes with our enterprise platform.

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Refuel to automatically label, clean, and enrich your datasets using large language models. It helps you classify text, extract information from documents, and transform unstructured data into structured formats. The platform handles data processing tasks that typically require manual work, like categorizing transactions, extracting entities, or moderating content. You can create custom data transformations by describing tasks in natural language, and the system uses specialized LLMs to process millions of data points with high accuracy.

What Refuel AI does

Create labeled training datasets from raw textTransform unstructured documents into structured dataClassify customer feedback by sentiment and topicExtract entities from legal contracts and agreementsCategorize product descriptions for better searchClean duplicate records in customer databasesProcess insurance claims documents automaticallyGenerate data labels for computer vision projectsAutomatically labels datasets using custom LLMsExtracts structured information from unstructured documentsProcesses data in real-time or batch modesProvides feedback loops for model improvementConnects to multiple data sources and warehousesDeploys models in your own cloud environmentHandles billions of data points at scaleOffers pre-built templates for common tasks

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Google CloudGoogle CloudAnthropicAnthropicOpenAIOpenAIBigQueryBigQuerySnowflakeSnowflakeDatabricksDatabricks

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Refuel, data labeling, LLM, dataset enrichment, text classification, information extraction, data transformation, machine learning, data quality, automated labeling, enterprise data, content moderation, entity resolution, transaction categorization