Your Data. Processed at Machine Speed. Perfect Every Time.

We process virtually any format: PDFs, Word docs, Excel, CSV, JSON, XML, HTML, plain text, images with OCR, and email bodies. Sources include REST APIs, databases (PostgreSQL, MySQL, BigQuery, Snowflake), file systems (S3, Google Drive), web scraping, and streaming data via webhooks or message queues.

For well-structured documents (invoices, forms, receipts), we achieve 97–99% accuracy with proper prompt engineering and validation layers. For complex unstructured documents (contracts, emails, research papers), accuracy ranges from 90–96% depending on document consistency. We always include quality scoring and human review queues for records below the accuracy threshold.

Yes. We architect pipelines for scale: parallel processing with distributed workers, batch size optimization, rate limit management for external APIs, incremental processing (only new/changed records), and cost optimization across high-volume AI API calls. We've built pipelines processing 1M+ records per hour.

Data security is paramount. We implement encryption in transit and at rest, access controls, audit logging, PII detection and masking, and processing within your existing cloud environment (no data leaving your infrastructure if required). For regulated industries, we implement HIPAA and SOC 2 appropriate data handling.

A focused data extraction pipeline (one document type, one destination) starts at $5,000–$10,000. A comprehensive multi-source data processing system with transformation, QA, and delivery automation runs $15,000–$40,000. High-volume processing systems with custom infrastructure start at $30,000.