Process thousands of items with LLMs in parallel. Know your costs upfront. Deploy in minutes.
10,000 items = Hours of waiting
Unknown token costs
Complex infrastructure
Sequential processing
10,000 items = 10,000 credits
Fixed predictable cost
Zero infrastructure
Parallel processing
No configuration needed. Every request automatically runs in parallel for maximum throughput. Scale from 10 to 10,000 items with zero infrastructure changes.
All tools are optimized for batch processing. Submit a list of items, and we will process each one in parallel, with fixed costs per result.
Takes a document image (or file) and a JSON schema. The system applies OCR and then extracts the relevant data directly into the requested JSON format.
A standard LLM (Large Language Model) execution for tasks like classification, summarization, or rewriting, optimized for processing large text batches.
Takes an image as input and returns a text description (caption) generated by an advanced vision model. Ideal for cataloging and accessibility.
Takes raw text and a JSON schema. The LLM extracts structured data from the input text, ensuring the output is valid JSON.
Takes a text and a condition or a set of rules. The AI model returns a simple Boolean value (True/False) indicating if the text meets the criteria.
Simple and predictable. Pay per result, not per token. Credits never expire.