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CoTAI / Gems Collection

A sneak-peek on CoTAI R&D and Product focus

πŸ’‘ We have been actively developing & delivering AI cores for diverse application domains.

πŸ”₯ Check out our portfolio page for demos and usecases πŸ‘ˆ

AI Cores

  1. Conversational AI
    • Verbal (Text & Speech Understanding)
    • Nonverbal (Gesture & Expression Understanding)
    • Virtual Assistant (Task Automation & Cobots)
  2. Perceptual Intelligence
    • People & Scene Understanding
    • Self-Driving Cars
    • Industrial Inspection & QC
    • Predictive Maintenance
  3. Deep Symbolic AI
    • GNNs, KGs, Neuralogic, XAI
    • Machine Reasoning & Compositional AI
    • Learn2Reason & Learn2Plan
    • DL4Dev & DL4Operations/Logistics
  4. RecSys AI
    • Retail, Healthcare, Edtech, Firetech
    • Smart Home & Car Infotainment
  5. Curious AI
    • Deep Generative Models (VAEs, GANs, Flow, Diffusion, etc.)
    • Compositional AI & Computational Creativity (for Arts, Design, Edutainment & Med)
    • Mechatrons & Cobots
    • DL4Games
  6. Rigorous AI
    • Edge & Embedded AI, Tiny ML, Mechatrons
    • Mobile/Web Optimized, Lightweight & Secured AI
    • Knowledge Distillation & Network Pruning/Quantization

Sample application domains

  1. Conversational User Interfaces (Voice, Chat, Avatar).
    Example: Messenger SalesBot Concept by Isil Uzum.




See also other UX concepts.


  1. People, Document, Scene & Object Understanding
    Examples: Amazon Go & OpenSpace AI-powered construction project platform.


  2. RecSys: Recommender Systems

    Because almost every successful product & business has a strong recommendation engine at its core: YouTube, TikTok, Spotify, Instagrams, Salesforce, etc. β€œCounter-example” ;-)
  3. Self-Driving Cars & Collaborative Robotics
  4. Computational Curiosity & Creativity (for Med, Arts, Design & Edutainment)
    Examples: Drug discovery & human-AI collaborative design e.g. DALL$\cdot$E 2 & Imagen.


  5. DRL4Games: Deep generative models & deep reinforcement learning for training AI in games and assisting the design & development of next generation games that can, e.g., β€œgenerate (and evolve) through real-time audience interaction”.



  1. DL4Dev: AI assistant (e.g., code generation) for software craftmanship.
    Examples: GitHub Copilot & OpenAI Codex, CodeT5, CodeBERT.



  1. DL4Operations: Deep Learning for optimizing Operations, Logistics & SCM
    Example: Bearing.AI

πŸ‘‰ Click to see our portfolio page for demos and usecases.