Our Research
Retrieval Augmented Generation
Enhancing AI responses with real-time data retrieval, with custom trained LLMs for accurate and up to date solutions.
Key Research Areas
Enterprise Knowledge Integration
Real-time access and processing of enterprise knowledge bases for enhanced AI responses.
Data Freshness
Maintaining up-to-date information and ensuring accuracy in AI-generated content.
Source Attribution
Transparent referencing and citation of information sources in AI outputs.
Scalability Solutions
Efficient handling of growing data volumes while maintaining performance.
AI Agents
Autonomous AI systems that can understand, learn, and execute complex tasks with minimal human intervention.
Research Focus
Autonomous Decision Making
Advanced algorithms for independent decision-making in complex scenarios.
Task Automation
Intelligent automation of repetitive and complex business processes.
Adaptive Learning
Continuous improvement through experience and feedback loops.
Human-AI Collaboration
Seamless interaction and cooperation between humans and AI agents.
Finetuning AI Models
Customizing pre-trained AI models for specific business needs, improving performance and relevance for specialized applications.
Key Research Areas
Domain Adaptation
Adapting general-purpose models to specific industry domains and use cases.
Parameter-Efficient Tuning
Optimizing model performance with minimal computational resources.
Instruction Tuning
Enhancing model capabilities through targeted instruction datasets.
Evaluation Frameworks
Developing robust metrics to assess finetuned model performance.
Text to SQL
Developing advanced natural language interfaces that convert plain English queries into precise SQL commands, answering any questions about rich datasets.
Research Focus
Context Understanding
Advanced natural language processing for accurate query interpretation.
Schema Handling
Support for complex database schemas and relationships.
Query Optimization
Generating efficient SQL queries for optimal performance.
Error Prevention
Robust validation and error handling mechanisms.
Automated Document Processing
Advanced AI systems for automatically processing, analyzing, and extracting valuable information from various document formats including PDFs, Word files, and scanned papers.
Key Research Areas
OCR Enhancement
Advanced optical character recognition for accurate text extraction from scanned documents and images.
Document Classification
Intelligent categorization and routing of documents based on content and structure analysis.
Information Extraction
Automated extraction of key data points, tables, and structured information from unstructured documents.
Format Conversion
Smart conversion between different document formats while preserving layout and formatting.
Intelligent File Management Systems
Automatically organize, categorize, and retrieve files for smart search, tagging, and duplicate detection.
Innovation Areas
Smart Categorization
Automated content analysis and intelligent file organization.
Duplicate Detection
Advanced algorithms for identifying and managing duplicate content.
Semantic Search
Natural language understanding for improved file discovery.
Pattern Recognition
Learning from user behavior to optimize file organization.
For research collaborations
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