Process millions of records through large language models for classification, extraction, summarization, and insight generation. Enterprise-grade AI data pipelines, built for production.
From raw data to actionable intelligence. Our LLM-native pipelines handle the complexity so your team can focus on decisions.
Process millions of records through optimized LLM pipelines with automatic batching, retry logic, and token-efficient prompting. Scale from 100 to 100M records seamlessly.
Ingest data from PDFs, Excel spreadsheets, APIs, databases, and 50+ source types. Automatic schema detection and intelligent parsing powered by vision and language models.
Extract structured JSON, tables, and typed fields from unstructured text with guaranteed schema compliance. Built-in validation and confidence scoring for every output.
Live dashboards tracking pipeline throughput, token usage, accuracy metrics, and cost analytics. Full observability into every LLM call with latency and quality breakdowns.
Go from raw, messy data to structured intelligence in minutes, not months.
Point AffineBox at your data sources -- databases, file stores, APIs, or upload directly. Our connectors handle authentication, pagination, and incremental syncing automatically.
Define what you want to extract, classify, or generate using natural language instructions. Choose your model, set output schemas, and configure quality thresholds -- no code required.
Launch your pipeline and watch structured data flow in real-time. Auto-scaling handles volume spikes, built-in monitoring catches quality drifts, and results stream to your destination.
Transparent pricing based on data volume and token usage. No hidden fees, no surprises.
For teams getting started with AI data transformation. Ideal for prototyping and smaller datasets.
For production workloads processing data at scale. Full model access with priority throughput.
For organizations with massive data volumes, compliance requirements, and custom deployment needs.