Analog AI provides memory and common sense reasoning engine for AI agents. Our engine overcomes RAG and LLM limitations, such as learning and adaptation problem, overconfident answers (hallucinations), explainability problem (black box)—using graph network and intuitive dashboard. This delivers infinite living memory and fully explainable outputs for autonomous agents. Setup in 60 seconds >
91% precision
Human level comprehension 91% LLM evaluation, 79.2% exact match (EM), 85.5% F1 score by HotPotQA benchmark
Explainability
Deep causal and common sense reasoning, making the AI decisions explainable
Self-learning
AI agents self learn by user interactions
Uncertainty Awareness
Stating when agent don't know sumething, instead of hallucinating
Why Analog AI
5x faster than similar projects
Only takes ~3-4 seconds to remember facts, vs ~20 seconds for similar projects
No database setup required
Ready to go cloud SDK and in-memory open source version for quick testing. Start quickly and setup database as soon as you are ready.
Auditability
Monitor memory of the agent through intuitive dashboard
Monitoring memory from dashboard Monitor how your agent reasons live, understands sentences, connects them, makes conclusions, handles hypothetical scenarios, outputs fallbacks, etc. Try Cloud Memory >
Self-learning
Our memory engine is capable of continuous self-learning. No more expensive and slow training needed.
Integrated on your website, or accessible by direct link Try Analog Cloud
Digital Human Interface (add-on) Go beyond chat interface and use our digital human interfaces for your autonomous agents at enterprise setup View Pricing >
Introducing AI agents Analog AI’s Agentic Workflow is a practical, automated tool that improves on basic digital systems. It helps businesses handle tasks like customer service and video call scheduling.