Intelligent Document Processing

Data, AI & Machine Learning Engineering Solution

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In today’s corporate landscape, efficient document and information management has become an increasingly complex challenge. The adoption of new digital tools and the proliferation of data sources threatens to fragment the corporate knowledge base. Moreover, the challenge is exacerbated by remote work and high employee turnover, which complicate access to information, especially considering the persistence of paper-based documentation in both small and large companies.

Digital transformation has triggered a widespread diffusion of unstructured data – from internal documents to customer and supplier communications, corporate policies, and technical manuals – creating a complex information ecosystem that requires innovative solutions.

In this scenario, combining existing technologies such as Optical Character Recognition (OCR) and Computer Vision with Large Language Models (LLMs) leads to new opportunities in document management. Intelligent Document Processing (IDP) enables the creation of integrated and intelligent knowledge bases, accessible through natural language queries thanks to Generative AI – that meet growing regulatory compliance and data security requirements.

PAIN POINTs

Fragmented information across multiple platforms and tools
Difficulty in quickly retrieving critical information

Complexity in managing and analyzing large volumes of unstructured data
Need to ensure compliance and security in handling sensitive information

solution

Bitrock redefines enterprise document management by combining a no-code interface with advanced AI models. Leveraging our proprietary Radicalbit platform – an Agentic AI Infrastructure designed to accelerate the development of LLM-powered applications – we deliver tailored IDP solutions that centralize heterogeneous data sources into an integrated, intelligent corporate knowledge base.

The IDP application automates the entire document lifecycle – from next-generation OCR digitization to automated semantic classification and insight extraction via Machine Learning algorithms.

Our end-to-end pipeline includes:

Pre-processing for normalization, deduplication, and quality assurance
Semantic analysis engine powered by LLMs
Post-processing for validation and data enrichment
APIs for seamless integration with enterprise systems
No-code interface for natural language querying

The architecture supports both cloud-native and on-prem deployment, balancing scalability and governance. It also allows for the integration of analytical dashboards, real-time monitoring, and proactive alerting to optimize document workflows.

Examples of AI-powered IDP solutions

Centralized CV Repository
Bitrock has developed an IDP platform for HR and Project Management that serves as an intelligent repository of internal skills and capabilities. The platform combines data acquisition, indexing, and generative AI into an integrated user experience. It can be queried in natural language to retrieve complex information in seconds, optimizing and accelerating hiring, resource allocation, and employee management processes. Example Prompt: Suggest someone with Java expertise, fluent in English, and experienced with international clients.

Manufacturing Manuals Database
In the manufacturing sector, Bitrock revolutionizes technical documentation management by creating a centralized database of production manuals that can be queried in natural language. The system intelligently extracts and organizes technical information, creating a knowledge base that allows operators to instantly access specifications, procedures, and critical parameters. Example Prompt: The grinding machine is showing a load value of 544— is that within the normal range?

Insurance Compliance Monitoring
For insurance companies, Bitrock’s IDP solution enables an advanced compliance automation system that verifies the conformity between promotional materials and contractual documentation. Through natural language processing and pattern matching algorithms, the system analyzes the consistency between marketing communications and contractual clauses in real-time, automatically identifying potential discrepancies and compliance risks.

benefits

Creation of a centralized, easily accessible knowledge base
Automation of document acquisition and categorization processes
Significant reduction in information retrieval time
Improved accuracy in data extraction and analysis
Optimization of operating costs and resources
Support for decision-making through advanced content analysis
Ensured compliance and security in handling sensitive data

Technology Stack and Key Skills

Integration with leading LLMs (OpenAI, Google Vertex AI, Azure AI, Amazon Bedrock)
Support for on-premise models (Meta Llama, Mistral NeMo, Google Gemma, Microsoft Phi-4)
Advanced OCR and text analysis functionalities
Comprehensive metrics system for performance monitoring
Context-driven approach for model optimization
Specific testing frameworks for hallucination mitigation

Intelligent Document Processing

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PAIN POINTs

solution

Examples of AI-powered IDP solutions

benefits

Do you want to know more about our services? Fill in the form and schedule a meeting with our team!

Milano

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Intelligent Document Processing

context​

PAIN POINTs

solution

Examples of AI-powered IDP solutions

benefits

Do you want to know more about our services? Fill in the form and schedule a meeting with our team!

Milano

Treviso

Trieste

Chiasso

context