Trusted by 82% of the Fortune 1000
#1 in Parsing Quality and Industry-Lowest Hallucinations (SCORE Benchmark)
Why most enterprise AI never leaves pilot.
80% of enterprise knowledge remains locked in PDFs, slides, and images. Attempting to structure this data in-house creates a "rat’s nest" of brittle integrations and mounting maintenance debt that most teams aren't equipped to manage. This systemic complexity drains engineering velocity and spikes total cost of ownership—turning promising AI pilots into operational burdens instead of scalable systems.
The essential data foundation for production-grade AI.
Standardize unstructured data once - unlock faster AI ROI and scale across the enterprise.
- Accelerate AI time‑to‑market with out‑of‑the‑box connectors and pipeline that integrate with your existing stack and deliver AI‑ready data.
- Lower TCO & AI operating costs with a platform that minimizes token usage and per‑page processing overhead.
- Reduce operational risk with high‑quality, trusted data that prevents hallucinations and costly downstream errors.
- Deliver trusted and compliant data by preserving context and traceability to reduce hallucinations while enforcing identity-aware access across systems.
- Maximize retrieval quality for RAG and agentic systems with precise table extraction powered by multimodal models.
- Boost AI performance using intelligent page routing to automatically select the optimal processing strategy for every document.
- Maintain security and compliance by deploying in dedicated instances or via HIPAA-compliant SaaS with SOC2 Type II, ISO 27001, and enterprise-grade RBAC/SSO.
- Scale horizontally across massive, heterogeneous document volumes with Kubernetes-native infrastructure.
- Stay model-agnostic with a modular architecture that adapts as your AI stack and LLM requirements evolve.
One platform to operationalize unstructured data for GenAI.
Extract at scale
Securely connect to 50+ enterprise sources (SharePoint, S3, Salesforce, Box) and destinations without maintaining custom integrations.
Process with High-Fidelity
Automatically normalizes diverse file types (PDF, PPTX, HTML, Images) into clean, AI-ready JSON using state-of-the-art partitioning.
Optimize for Retrieval
Apply advanced, context-aware chunking alongside embeddings and metadata enrichment to generate data for high-accuracy AI and agentic workflows.
Deliver Anywhere
Load AI-ready data into your preferred destination — Snowflake, Databricks, Pinecone, MongoDB, or Elasticsearch and more with minimal plumbing.
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