🤖 Agentic AI

Autonomous AI executes tasks, adapts dynamically, integrates APIs, optimizes workflows, and automates operations with real-time decision-making and contextual understanding.

🧠 RAG-Based Agent

Retrieves relevant data, enhances AI responses, integrates structured/unstructured sources, improves accuracy, and provides fact-based, context-aware answers using advanced search.

📊 FM Data Fine-Tuning

Optimizes foundational AI models with transfer learning, hyperparameter tuning, and reinforcement techniques for improved accuracy, efficiency, and domain-specific adaptability.

📚 Knowledge Base Bot

AI-powered retrieval bot providing structured answers using semantic search, vector embeddings, and automation for knowledge management and self-service support.

🎙️ ASR (Speech Recognition)

Converts speech into text using deep learning, phoneme modeling, and noise-robust transcription, enabling real-time voice-based automation and analytics.

🤝 Multi-Agent LLM

Collaborative AI agents optimize task distribution, automate workflows, enhance decision-making, and integrate specialized models for scalable, intelligent AI-driven processes.