Unstructured data makes up nearly 90% of all data generated by organizations today. From contracts and invoices to reports, forms, and emails — most enterprise knowledge remains trapped inside documents, making it difficult to search, analyze, or automate.
With the rise of Large Language Models (LLMs) and AI-powered document understanding, organizations now have the tools to automatically extract insights from unstructured data. However, realizing this potential requires more than just deploying a model — it demands an integrated, well-architected approach that blends machine learning, automation, and human oversight.
At Kolmio Labs, our Intelligent Document Processing (IDP) Accelerator, built on AWS, leverages LLMs to transform static documents into dynamic data assets.
Intelligent Document Processing (IDP) combines artificial intelligence, optical character recognition (OCR), natural language processing (NLP), and machine learning (ML) to automatically extract and structure data from unstructured documents.
Kolmio’s IDP Accelerator enhances this foundation with LLM-powered contextual intelligence, enabling businesses to go beyond text extraction — to understand meaning, relationships, and intent.
By integrating services like Amazon Textract for OCR and Amazon Bedrock for entity recognition and generative understanding, Kolmio delivers a scalable, modular solution that evolves with your business.
Traditional OCR and rule-based extraction tools can identify data but lack context. LLMs bridge that gap by bringing semantic understanding and domain-specific intelligence to document workflows.
LLMs enable:
Understanding of unstructured and mixed-format data (text, tables, forms)
Recognition of domain-specific terminology across industries
Generation of summaries, classifications, and insights from raw text
Detection of anomalies or missing information for compliance and audit
This ability to interpret meaning makes LLMs the catalyst for a new generation of intelligent automation — where data extraction becomes data understanding.
Our six-phase framework ensures that automation delivers measurable value while maintaining accuracy, scalability, and compliance.
Every engagement begins with clarity of purpose. We work with stakeholders to:
Identify key document types (contracts, invoices, medical reports, etc.)
Define business goals — such as compliance automation, faster processing, or audit readiness
Establish measurable success criteria for speed, accuracy, and ROI
This foundation ensures the solution aligns with both business strategy and operational outcomes.
Data quality drives insight quality. In this phase, we:
Ingest files from multiple sources — including on-prem systems, cloud storage, or SaaS applications
Apply Amazon Textract for OCR and text extraction
Clean and normalize data to eliminate duplicates, noise, and formatting inconsistencies
Standardize metadata and prepare text for NLP and model processing
This creates a clean, machine-readable data pipeline that ensures high performance and reliability downstream.
Once ingested, documents are transformed into structured data formats. Using LLMs and AWS services like Amazon Bedrock, we:
Identify and extract key entities (names, values, clauses, terms, amounts)
Detect relationships between entities (e.g., supplier to invoice, clause to contract)
Create structured datasets for integration into enterprise systems
Automatically classify documents by type, topic, or department
This turns static PDFs and text into searchable, queryable, and analytics-ready data hubs.
Kolmio’s data science team fine-tunes models for domain-specific accuracy. This includes:
Customizing LLM prompts and embeddings for your data context
Applying transfer learning for specialized domains like finance, legal, or healthcare
Implementing MLOps pipelines for version control, monitoring, and retraining
Using human-in-the-loop validation to continuously improve accuracy
The outcome is a model that doesn’t just extract data — it understands it, improving over time through reinforcement and feedback.
Accuracy and trust are central to every AI-driven process. In this step, we:
Apply rule-based validation to cross-check extracted data
Build audit trails for every automated decision
Integrate compliance frameworks (e.g., SOC 2, HIPAA, GDPR) where applicable
Create dashboards for traceability and exception handling
This ensures the automation meets enterprise-grade governance, transparency, and reliability standards.
Finally, insights become actionable. We deliver:
Interactive dashboards for visualizing extracted data and KPIs
Integration with CRMs, ERPs, or data lakes for seamless workflows
APIs and connectors for continuous document ingestion and analysis
Configurable alerting and reporting for operational visibility
The result is a live data ecosystem — where insights are available on demand and integrated into everyday decision-making.
Organizations using Kolmio’s IDP Accelerator have achieved:
50–75% reduction in document processing time
Up to 90% accuracy in data extraction and classification
Significant cost savings through automation and reduced rework
Enhanced compliance and audit readiness
Improved employee productivity and customer satisfaction
Kolmio Labs brings together AI innovation, AWS cloud expertise, and co-delivery excellence to accelerate intelligent automation. Our solutions are:
Cloud-native and modular, built on scalable AWS architecture
Customizable for your specific business and compliance needs
Co-delivered — we build with your team, ensuring full enablement and knowledge transfer
With a proven track record of automating high-volume, high-value workflows, Kolmio helps organizations unlock the full potential of their unstructured data.
As unstructured data continues to grow exponentially, organizations that can extract intelligence at scale will define the next wave of digital transformation.
Kolmio Labs’ Intelligent Document Processing Accelerator, powered by LLMs and AWS, empowers enterprises to transform documents into insights, decisions, and competitive advantage.
Turn your document challenges into data opportunities — with Kolmio.
