Deploy autonomous agents that punch above their weight. We provide a neuro-symbolic memory layer that enables Small Language Models (SLMs) to perform complex causal, spatio-temporal, and deontic reasoning on-device—with zero API costs and 100% data sovereignty.
Self-Adaptation
Begins with foundational knowledge and continuously adapts to the noisy flow of everyday information. Small models (Llama-3, Phi-4) struggle with complex rules. Our engine acts as an External Pre-frontal Cortex, handling the logic heavy-lifting:
Deontic Reasoning: Enforce strict permissions and authority boundaries.
Causal Inference: Understand "why" an action is taken, not just the next word.
Spatio-Temporal Logic: Manage complex tasks that evolve over time and space.
01
Customer
Sends a message
Incoming
02
AI agent
Understands & asks for supervision
Thinking…
03
Human supervisor
Reviews & approves
Reviewing
04
Response
Sent instantly
Delivered
05
Knowledge
Knowledge improves
+1 insight
↻ loop continues — knowledge grows with every supervised conversation
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Messages handled
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Accuracy
–
Avg response
  • Explainability
    Deep causal and common sense reasoning, making the AI decisions explainable
  • Self-learning
    AI agents self learn by user interactions
  • Uncertainty Awareness
    Asking you for help, when lacks the knowledge
Record-high Memory & Reasoning Precision
91% precision and 2s response time with continuous noisy information, powered by state-of-the-art common sense reasoning engine
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Cloud LLM vs. Analog Engine
Create agent. Share documents. Supervise
Check Demo of Auditable Memory & Reasoning Engine
Integrate a local-first reasoning layer into your agents. Use our harnessing tool to ingest private documents, visualize the "Chain-of-Thought" logic, and identify reasoning gaps in real-time.
See demo>
Partners & Supporters
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