Our Technology Arsenal

We build with the most advanced large language models for conversational AI, content generation, code assistants, and enterprise knowledge systems.

• Custom fine-tuning & prompt engineering
• RAG (Retrieval Augmented Generation)
• Multi-model orchestration
• Enterprise-grade guardrails & safety

Production-grade deep learning for computer vision, NLP, time-series forecasting, and custom model architectures tailored to your business.

• Custom model architecture design
• Transfer learning & fine-tuning
• Model optimization & quantization
• Edge deployment with TensorRT

Build intelligent AI agents and multi-step workflows that combine LLMs with tools, databases, and external APIs for complex automation.

• Multi-agent AI systems
• Tool-use & function calling
• Chain-of-thought reasoning
• Memory & context management

Scalable vector storage for semantic search, RAG pipelines, and recommendation systems. End-to-end MLOps for model lifecycle management.

• Semantic search & similarity matching
• Model versioning & experiment tracking
• Automated training pipelines
• A/B testing & model monitoring

Object detection, image classification, segmentation, and OCR for quality control, medical imaging, and visual inspection automation.

• Real-time object detection & tracking
• Medical image analysis (X-ray, CT, MRI)
• Defect detection & quality control
• Edge deployment on NVIDIA Jetson

Predictive analytics, anomaly detection, forecasting, and statistical modeling for data-driven decision making at scale.

• Predictive modeling & forecasting
• Anomaly & fraud detection
• Customer segmentation & churn prediction
• Real-time analytics dashboards

High-performance backend systems optimized for AI workloads, real-time processing, and enterprise-grade API development.

• RESTful & GraphQL API design
• Async processing & WebSockets
• Microservices architecture
• Authentication & authorization (OAuth, JWT)

Modern frontend frameworks for building intuitive AI dashboards, real-time data visualizations, and conversational interfaces.

• Real-time data visualization (D3.js, Recharts)
• Chat & conversational UI components
• Responsive dashboards & admin panels
• Progressive Web Apps (PWA)

Cross-platform and native mobile applications with on-device AI capabilities for offline-first intelligent experiences.

• Cross-platform AI-powered apps
• On-device ML with Core ML & TFLite
• Camera & sensor integration
• Offline-first architecture

AI-enhanced content management and e-commerce platforms with personalization, recommendation engines, and automated workflows.

• AI-powered product recommendations
• Personalized content delivery
• Automated inventory management
• Conversion optimization with ML