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Symbolica

Building Reasoning Machines

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Overview

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Symbolica is pioneering the new foundation for enterprise-scale AI, focusing on creating systems that are controllable, interpretable, reliable, and secure. The company addresses the inherent limitations of current state-of-the-art large language models (LLMs) like ChatGPT, Claude, and Gemini, which are often expensive to train, complex to deploy, difficult to validate, and prone to hallucination. Symbolica is redesigning how machines learn from the ground up, aiming to deliver more robust and trustworthy AI solutions for businesses.

How It Works

  • Structured Cognition:
    • Utilises a cognitive architecture that models the generative processes used by human experts, enabling new scaling curves and more reliable inference via explicit episodic memory.
  • Symbolic Reasoning:
    • Designed for complex formal language tasks (e.g., automated theorem proving, code synthesis) with continuous interaction with validators, interpreters, and debuggers.
  • Symbolic Code Execution:
    • Functions as a symbolic code executor, feeding symbols (variables) instead of concrete inputs to explore all code paths simultaneously.
  • LLVM IR Analysis:
    • Analyzes code at the LLVM IR level to detect issues and vulnerabilities.

Use Cases

Automated Theorem Proving
Utilise Symbolica for the rigorous and automated verification of mathematical theorems and logical statements.
Software Verification & Code Synthesis
Generate code efficiently and reliably, while also verifying that software implementations are logically equivalent and free of undefined behaviour.
Security Vulnerability Detection
Identify and prevent critical security flaws, including exhaustive detection of buffer overflows and analysis for undefined behaviour.

Features & Benefits

  • Controllable AI: Gain continuous control and guidance over AI outputs, ensuring reliability and compliance.
  • Interpretable AI: Understand model reasoning to foster trust and transparency.
  • Reliable AI: Reduce hallucinations and enable dependable inference with explicit episodic memory.
  • Secure AI: Enhanced data privacy and protection beyond standard models.
  • New Scaling Curves: Efficient and scalable AI performance.
  • Logical Equivalence Checking: Verify if two different programmes produce identical outputs.
  • Buffer Overflow Detection: Exhaustively search for critical security vulnerabilities in code.
  • Undefined Behaviour Detection: Pinpoint code sections with possible undefined behaviour.
  • Priority Support: Licensed users receive expedited support.
  • Feature Request Prioritisation: Licensed users influence new feature development.

Target Audience

  • Hobbyists: Non-employed, unaffiliated individuals for non-commercial use.
  • Startups: Pre-revenue companies seeking advanced AI adoption.
  • Academic Institutions: Universities and research bodies for education and research.
  • Organisations (Standard Users): Businesses in need of enterprise-scale, reliable AI.
  • AI Researchers and Developers: Teams focused on AI, formal languages, and code reliability.

Pricing

  • Hobbyist: Free for non-employed and non-affiliated use.
  • Startup: Free for pre-revenue startups upon agreement.
  • Academic: One core/instance per device free; Site license $6600/year.
  • Standard: One core/instance per device free for non-commercial use; commercial quote available.
  • Free 30-day professional trial available.

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