A key differentiator is its ability to handle unstructured data across different formats and modalities—whether scanned PDFs, mobile photos, or handwritten notes—converting them into structured, machine-readable data to automate traditionally manual processes. The platform leverages computer vision, natural language processing, and large language models to extract key data points from diverse document types and automate complex business processes.
Cyborg Score Rationale
Raised $100M in Series D funding in January 2025 with $322M total funding across 7 rounds from 12 investors. Current valuation of $1.24B, down 38% from peak of $2B in October 2019, reflecting market headwinds but strong institutional backing. 2023 revenue was $50M.
Top Insights
Series D round of $100M closed in January 2025 led by Qatar Investment Authority with participation from Andreessen Horowitz, Greylock Partners, Index Ventures, and NEA.
Introduced AI runtime 2.0 with agent mode in November 2025, featuring next-generation models for higher extraction accuracy and ability to autogenerate classes and up to 20 fields from uploaded documents.
Launched Case Management in November 2025 to handle complex, multi-document business workflows with centralized review and resolution for human-in-the-loop processes.
High-profile customer base including Uber, NatWest, AXA, and the United States Patent and Trademark Office (USPTO).
Named Competitors
Hyperscience — Intelligent document processing and workflow automation
Rossum — Document processing with proprietary language models