Problems we solve


Analog AI addresses critical AI challenges with precise, empathetic solutions, delivering measurable improvements for medical, legal, customer service, and real estate industries.

1. Unreliable AI Outputs in Critical Applications
  • Problem: Traditional Retrieval-Augmented Generation (RAG) systems fail 25% of the time in medical and legal applications, leading to inaccurate diagnoses, flawed legal research, and costly errors.
  • Solution: Our Cognitive RAG API uses advanced symbolic reasoning and infinite memory to process complex data, reducing hallucinations by 25% compared to standard RAG systems.
  • Benefit: Enables safer medical diagnostics (e.g., accurate patient data analysis), reliable legal research (e.g., precise case law retrieval), and trustworthy enterprise integrations, saving time and reducing risk.

2. Lack of Empathy in Customer Interactions
  • Problem: Conventional chatbots deliver cold, transactional responses, lowering satisfaction in medical, psychotherapy, and customer service settings where emotional connection is critical.
  • Solution: Our Empathetic Chatbot uses affective computing to express 15 emotions (e.g., empathy, gratefulness, concern), adapting to user emotions and learning from interactions for personalized responses.
  • Benefit: Increases customer satisfaction by up to 20% in healthcare (e.g., patient support) and customer service (e.g., call centers), fostering trust and loyalty.

3. Limited Emotional Intelligence in Digital Avatars
  • Problem: Digital avatars lack authentic emotions, reducing engagement in real estate and retail environments where immersive interactions drive customer decisions.
  • Solution: Our Digital Human combines lifelike visuals with 15 authentic emotions and real-time emotional responses, creating engaging, human-like interactions.
  • Benefit: Enhances real estate client engagement (e.g., virtual property tours with personalized guidance) and retail experiences (e.g., interactive mall hosts), increasing conversion rates and customer retention.
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