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Multimodal Document Intelligence for Claims Review & Compliance

Multimodal Document Intelligence for Claims Review & Compliance

Finance
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We built a document intelligence platform that turns complex claim and compliance paperwork into structured, searchable data that teams can act on. The system…

Universal Data Ingestion Pipeline for GenAI & RAG

Universal Data Ingestion Pipeline for GenAI & RAG

Media
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We built a universal data ingestion and knowledge pipeline that can take almost any type of file – PDF, Excel, XML, JSON, images, audio,…

Finance

Multimodal Document Intelligence for Claims Review & Compliance

We built a document intelligence platform that turns complex claim and compliance paperwork into structured, searchable data that teams can act on. The system…

  • Strategy

    Convert unstructured document bundles into consistent case models, then combine extraction with retrieval-driven validation so reviewers can move faster while improving consistency and audit readiness.

  • Design

    Document ingestion and lakehouse storage with OCR and versioning, AI services for classification and field extraction plus RAG for evidence retrieval, and a reviewer interface with validation, audit trails, and API integration.

  • Client

    Insurance, finance, and regulated service providers operating in the EU.

  • Tags

    claims, compliance, document-intelligence, nlp, ocr, RAG, workflow

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Media

Universal Data Ingestion Pipeline for GenAI & RAG

We built a universal data ingestion and knowledge pipeline that can take almost any type of file – PDF, Excel, XML, JSON, images, audio,…

  • Strategy

    Standardised ingestion layer for all file types, schema-agnostic knowledge model, multi-backend storage strategy (SQL, vector, graph), optimisation for RAG and agent retrieval patterns, and built-in observability for quality and governance.

  • Design

    Modular processors for PDFs, spreadsheets, XML/JSON and multimedia (OCR and speech-to-text), enrichment services for embeddings, summarisation and entity extraction, pluggable storage adapters for relational, vector and graph databases, and orchestration that exposes the final knowledge layer to GenAI agents, chatbots and analytics tools.

  • Client

    Media company from Germany (EU)

  • Tags

    data ingestion, data lake, data processing, graph db, RAG, vector db

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