Hardware+Human in the Loop
H2LooP.ai is building Specialized Language Models (SLMs) for system software engineers in regulated, safety-critical domains like aerospace and avionics.Our models are fine-tuned on embedded C/C++ codebases that run real-time control systems, sensor fusion engines, flight management software, and DO-178C-certified modules.H2LooP enables fast, accurate comprehension of complex avionics codebases by auto-generating architecture diagrams, control/data flow maps, and technical documentation aligned with certification workflows.We help aerospace OEMs and Tier-1 suppliers move faster without compromising safety or airworthiness.
Aerospace systems rely on vast, legacy C/C++ codebases with limited documentation, making maintenance and onboarding difficult. Real-time OS environments like VxWorks and ARINC 653 add scheduling and timing complexity. Compliance with standards such as DO-178C and ARP 4754 demands complete traceability, while lack of architectural visibility increases the risk of regressions during refactoring or platform transitions.
Automatically generate documentation and data/control flow diagrams from legacy C/C++ avionics codebases.
Visualize complex avionics software architecture — including task scheduling, interrupt routines, driver-hardware interactions, and ARINC protocol flows.
Create traceable engineering documentation directly from codebases to support DO-178C, DO-254, and ARP 4754 compliance audits.
Reduce onboarding time for new engineers by generating code summaries, module diagrams, and control flow insights aligned with avionics software standards.
Unlike general-purpose AI coding tools, H2LooP is purpose-built to support engineering teams working on performance-critical and safety-regulated avionics systems.
Our domain-specific Specialized Language Models (SLMs) are trained on real-world C/C++ flight software, enabling them to parse legacy codebases, reason about RTOS behavior, ARINC protocols, and modular avionics architectures.
H2LooP provides engineering, certification, and QA teams with a shared, AI-powered understanding of their airborne systems — accelerating development, de-risking refactoring, and supporting DO-178C compliance.