LLM Integration & AI Application
We build advanced hybrid AI systems that combine the strengths of traditional Machine Learning with the power of Large Language Models (LLMs). This approach enhances performance, improves user interaction, and unlocks new capabilities in complex industrial scenarios.
Hybrid AI: The Best of Both Worlds
We fuse the cognitive flexibility of Large Language Models with the precision of traditional Machine Learning. This hybrid approach enables our systems to understand complex unstructured data, from varied document formats to natural language, and execute mission-critical tasks like intelligent matching and automated workflows with reliability that neither technology could achieve alone.
Our LLM Capabilities
- Fine-tuning domain-specific LLMs for your industry
- Deployment of Retrieval-Augmented Generation (RAG) systems and Agentic AI
- Multi-format Document Understanding: Structuring data from PDFs, images, text files, and Excel sheets
- Intelligent Search & Matching: Building fuzzy matching engines and semantic search tailored to specific business logic
- Seamless integration between AI models, data services, and UIs
Full-Stack for Scalable AI
We build reliable, secure, and production-ready systems to deploy and scale your AI solutions, delivering end-to-end functionality.
Selected Applications
Intelligent Document Processing
Combining OCR with LLMs to build a cost-efficient, accurate document processing system that delivers structured data for downstream usage.
- Improved accuracy through LLM interpretation
- Lower processing cost with hybrid pipeline
- Outputs structured data for ERP/MES/CRM
Smart Equipment Operation Platform
Leveraging RAG and Agentic AI to make advanced equipment easier for newcomers while embedding senior engineers' expertise.
- Interactive guidance with knowledge retrieval
- Reduced onboarding complexity for new users
- Captures and reuses expert know-how
Intelligent Document Information Extraction System
Deployed for a leading UK corporate data platform. This system extracts structured information from millions of publicly filed documents across diverse formats — including scanned PDFs requiring OCR — by combining traditional AI with Large Language Models. It is particularly capable of handling corporate annual financial reports, which often feature complex layouts, dense numerical tables, and lengthy multi-page structures, delivering stable and efficient extraction at scale.
Key Highlights:
- Multi-Format Extraction: Processes digital PDFs, scanned documents, and complex financial reports through an OCR + LLM hybrid pipeline.
- Massive Scale: Processed over 40 million historical files, with 10,000+ new documents processed daily in real-time.
- Ultra-High Accuracy: Achieves over 99.99% extraction accuracy through the synergy of traditional AI and LLM technologies.
- Cost-Efficient at Scale: Highly optimized pipeline keeps per-document processing costs extremely low, even across tens of millions of files.
AI Smart Reconciliation System
Developed for one of the world's largest cargo shipping companies, deployed across 60+ countries and regions. This enterprise-grade system automates the clearing of massive shipping orders against diverse bank payment records with multi-language and multi-format support, combining traditional AI, Large Language Models, and AI Agents to achieve exceptional matching accuracy.
Key Highlights:
- Global Enterprise Deployment: Serving 60+ countries with multi-language support, processing diverse file types including emails, PDFs, scanned images, Excel, Word, and HTML, with enterprise-level governance.
- Hybrid AI + Agent Pipeline: Fuses traditional ML, LLMs, and AI Agents for intelligent fuzzy matching on non-standard payment references.
- Ultra-High Match Rate: Achieves exceptional reconciliation accuracy across diverse data sources and complex business scenarios.
- Significant Cost Reduction: Dramatically reduces operational costs and manual workload, accelerating financial closing cycles.