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Cake for Intelligent Document Processing

Extract, structure, and act on unstructured content at scale using Cake’s composable AI stack. Automate document processing with open-source OCR, LLMs, and orchestration built for enterprise compliance.

 

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Overview

Documents still power critical workflows across industries—from invoices and contracts to claims, applications, and reports. But traditional OCR and rule-based systems are brittle, expensive, and hard to adapt. Intelligent Document Processing (IDP) powered by LLMs and open-source tools makes it possible to unlock that data at scale.

With Cake, you can ingest PDFs, Word files, or scans, extract and structure content using open-source OCR and LLMs, and feed results directly into downstream workflows. Whether you’re classifying documents, pulling key fields, or summarizing multi-page reports, Cake gives you a modular, cloud-agnostic stack to do it securely and repeatably.

You can integrate best-in-class tools like PyMuPDF, Hugging Face, and LangChain—then orchestrate the entire pipeline using Kubeflow and track results with built-in observability. It’s everything you need to move from static documents to AI-powered workflows—without lock-in or overhead.

Key benefits

  • Automate document processing at scale: Extract, structure, and act on unstructured content using open-source components.

  • Reduce manual effort and costs: Eliminate repetitive reviews and handoffs with reusable, low-latency pipelines.

  • Use cutting-edge LLMs and OCR tools: Integrate the latest models and libraries without vendor delays.

  • Deploy securely and flexibly: Run workloads in any environment, with full control over data access and compliance.

  • Track performance and outcomes: Monitor model quality and track extracted fields across versions.

Example use cases

Teams use Cake’s IDP stack to streamline content-heavy workflows:

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Invoice and form extraction

Parse structured and semi-structured forms to extract fields like totals, dates, and customer IDs.

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Contract summarization and classification

Use LLMs to identify document types, extract clauses, or summarize key terms across large contract volumes.

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Insurance, healthcare, or legal document intake

Automate intake and routing of documents based on content, structure, or urgency.

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Onboarding and identity verification

Extract and validate key fields from documents like passports, licenses, and utility bills to streamline KYC and onboarding workflows.

Reduced Risk

Regulatory compliance checks

Scan documents for required disclosures, missing terms, or risky language to ensure alignment with industry regulations and internal policies.

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Audit-ready document archiving

Automatically extract, tag, and store key document data in structured formats to support audit trails, record retention, and regulatory reviews.

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"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."

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Scott Stafford
Chief Enterprise Architect at Ping

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"With Cake we are conservatively saving at least half a million dollars purely on headcount."

CEO
InsureTech Company

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"Cake powers our complex, highly scaled AI infrastructure. Their platform accelerates our model development and deployment both on-prem and in the cloud"

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Felix Baldauf-Lenschen
CEO and Founder

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