“Symbolic Logic Inspires Normative Generative AI”
SLING AI develops technology designed to help prevent AI models from violating predefined operational rules, improving system reliability when working with generative architectures. Grounded in Separation Logic, our verification framework enables organizations to deploy AI safely in mission-critical environments.
What We Do
While modern Large Language Models (LLMs) offer strong natural language capabilities, they can produce hallucinations—generating plausible but unverified or inaccurate information. In informal settings, this may be benign; however, in high-stakes domains like precision manufacturing, chip design, or legal processing, unverified outputs present severe operational risks.
SLING AI cross-references AI outputs against formal mathematical rules (Separation Logic), verifying that generated responses satisfy defined safety constraints prior to execution. This approach enables organizations to integrate generative AI into core workflows with increased precision and control.
Latest News
| May 2026 | Two provisional patent applications filed for multi-tool path verification and Neuro-Symbolic G-code generation. |
| May 2026 | Two preprints published on arXiv detailing the mathematical foundations for G-code safety and logic-based verification. |
| Feb. 2026 | Patent application filed for Separation Logic-based G-code collision pre-verification technology. |
3 Core Capabilities of SLING AI
| Core Value | Description |
|---|---|
| Output Filtering | Filters AI-generated hallucinations against formal logical rules to improve output reliability. |
| Formal Safety Verification | Evaluates spatial and operational constraints through mathematical modeling (Formal Verification) prior to system execution. |
| Domain-Tailored AI Integration | Provides verification frameworks for AI Transformation (AX) across specialized sectors like manufacturing, hardware synthesis, and legaltech. |
Why SLING AI?
- Mathematical Rigor: We complement probabilistic AI models with formal verification methods, such as Separation Logic and SMT Solvers, to evaluate output bounds.
- High-Stakes Domain Focus: We provide guardrails for critical operations—such as 5-axis CNC machining, FPGA architecture synthesis, and legal summary proceedings—where operational accuracy is essential.
- Specialized Expertise: Our logical verification frameworks are designed by Ph.D. researchers specializing in the Theory of Computation and Automated Reasoning.