Kirusa - AI Solutions for Work, Wellness, and Beyond

The Kirusa Advantage

Kirusa’s technology isn’t just about automation—it’s about amplification. Whether it’s helping users move better, feel more connected, or experience music in an entirely new way, we’re creating tools that elevate human expression. With every update, we push our systems toward greater creativity, context-awareness, and emotional resonance—because we believe the future of AI should feel personal, not artificial.

Core Technology Areas

Pose Detection & Correction

Our motion intelligence engine leverages state-of-the-art computer vision and machine learning to track and analyze human movement in real time.

  • Detects 30+ body landmarks using custom pose estimation models
  • Real-time posture evaluation and deviation detection
  • Delivers corrective audio and visual feedback
  • Optimized for mobile devices
  • Supports multiple exercise types (squats, push-ups, yoga, etc.)

RAG-Based Information Retrieval

We use Retrieval-Augmented Generation (RAG) to enhance our apps with smarter, context-aware responses.

  • Combines large language models (LLMs) with custom data retrieval
  • Enables knowledge-grounded conversations in both fitness and music apps
  • Useful for coaching, FAQs, workout suggestions, and dynamic storytelling
  • Reduces hallucinations by grounding responses in verified sources

Natural Language Processing (NLP)

Natural language is at the heart of both our interfaces and content generation tools.

  • Text-to-lyrics pipelines for custom songwriting
  • Contextual understanding in fitness coaching
  • Supports multilingual interactions (English, Hindi, Spanish and more)
  • Built using Hugging Face Transformers and spaCy NLP pipelines

Encrypted Cloud Computing

We take privacy and performance seriously. All user data and models are managed via encrypted cloud infrastructure.

  • End-to-end encryption for sensitive movement and voice data
  • Scalable architecture using Firebase, AWS, and Vercel
  • Real-time sync for user progress, AI-generated content, and analytics
  • Edge inference support for low-latency experiences