AI, Data & Intelligence
Information Extraction
Automating key-value extraction, table parsing and relationship extraction from unstructured business documents.
Capability overview
What information extraction involves
Information Extraction (IE) transforms unstructured, free-form text documents into clean, normalized database tables and key-value pairs. We build specialized information extraction models that read legal contracts, medical reports, financial filings and technical specifications.
We combine Named Entity Recognition (NER), relation extraction models and layout-aware transformers (LayoutLM) to parse complex document structures.
Our information extraction pipelines convert dense narrative text into structured SQL databases, accelerating enterprise data ingestion.
During the information extraction engagement, our specialists work closely with your technical leads to establish tailored operational workflows, automated validation controls and clear deliverables for contract & legal agreement parsing and financial filing & table extraction. From initial target schema & field mapping through to layout-aware model configuration, we embed continuous telemetry monitoring, structured documentation and risk mitigation rules tailored specifically for your organization's information extraction goals and medical & clinical entity extraction requirements.
What is included
What the engagement covers
Contract & Legal Agreement Parsing
Extracting contracting parties, effective dates, termination clauses, governing laws and financial obligations.
Financial Filing & Table Extraction
Extracting balance sheet numbers, cash flow tables and financial metrics from SEC 10-K filings and financial reports.
Medical & Clinical Entity Extraction
Parsing patient records, clinical trial notes, medication dosages and diagnosis codes into EHR databases.
Technical Spec Sheet Data Mining
Extracting component dimensions, operating temperatures and electrical tolerances from PDF product manuals.
How we work
How we deliver information extraction
Target Schema & Field Mapping
Defining exact target JSON and SQL database schemas, field data types and validation rules.
Layout-Aware Model Configuration
Configuring LayoutLMv3 or Donut models that process document text alongside visual layout spatial coordinates.
Entity & Relation Extraction Pipeline
Writing extraction rules and neural relation extractors that connect entities (e.g., matching a dollar amount to its payment due date).
Data Validation & Normalization Setup
Normalizing extracted text into standard dates, currency floats and standardized lookup values.
Database Integration & Testing
Testing extraction accuracy against ground-truth document sets and integrating API pipelines into core business software.
Related capabilities
Related capabilities in Computer Vision & Language AI
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Building automated speech-to-text (STT) engines and acoustic models for call center transcription and voice command systems.
Speech AI
Developing conversational voice agents, text-to-speech (TTS) synthesis and real-time interactive voice response (IVR) platforms.
Document Understanding
Combining computer vision, NLP and OCR to analyze, classify and extract structured intelligence from complex business documents.
Multimodal AI
Engineering multimodal AI systems that fuse text, image, audio and sensor data for comprehensive operational intelligence.
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Where this applies
Healthcare & Life Sciences
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Manufacturing & Industrial
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Banking, Financial Services & Insurance
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E-Commerce
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Questions & answers
Questions about Information Extraction
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionWe deploy layout-aware transformer vision-language models that detect table headers, spanned cells and page boundaries accurately.
Information extraction is priced as a fixed-fee milestone project based on document template complexity and extracted field counts.
Our models assign null values or confidence scores, flagging incomplete documents for human verification queues.
Next step
Discuss information extraction with Acmez
Share what you need to change, build, integrate or support. We will map the practical next step.