Safe AI Control for Robotics

Reflexible provides a human-readable, deterministic control layer between AI and machines. Every AI instruction passes through verifiable, safety-critical code before reaching hardware.

obstacle_avoidance.rfx
reflex avoid @(rate(500Hz), wcet(60us)) {
  input:  ranges: i16[m][8], v_meas: i16[mps]
  output: v_cmd: i16[mps], w_cmd: i16[radps]
  
  loop {
    let min_d: i16[m] = 32767
    for i in 0..7: { 
      if (ranges[i] < min_d) { min_d = ranges[i] } 
    }
    
    v_cmd = clamp(min_d - 200, 0, 300)
    if (min_d < 150) { w_cmd = 120 }
    elif (min_d < 250) { w_cmd = 60 }
    else { w_cmd = 0 }
  }
  
  tests {
    test near_wall 
      inputs: { ranges = [100,100,100,100,100,100,100,100] }
      expect: { v_cmd = 0, w_cmd = 120 }
  }
}

Real-World Applications

See how ReflexScript powers safety-critical systems across industries

The Challenge with AI in Robotics

The Problem

  • Robotics development is slow and fragmented
  • LLMs produce unsafe, black-box code
  • High-risk deployment without verification
  • No deterministic safety guarantees

Our Solution

  • Human-readable control layer
  • Automatic safety verification
  • MISRA-inspired C code generation
  • Real-time execution guarantees

ReflexScript: Safety-First Robotics DSL

A domain-specific language designed for safety-critical robotic controllers

🛡️

Safety-First Design

All code constructs are statically analyzable with built-in verification and safety property specification.

Real-Time Guarantees

Bounded execution with WCET analysis, memory usage bounds, and stack depth limits.

🎯

MISRA-Inspired Design

Generated C code follows MISRA-inspired guidelines for safety-critical systems.

🔧

Developer Friendly

Python/TypeScript-like syntax with type annotations and first-class physical units support.

🧪

Inline Testing

Define per-reflex test cases inline with auto-generated C tests and one-cycle verification.

🔒

Safe-State Verification

Robust safe-state and safe-output verification with 100% coverage for simple systems and Monte Carlo analysis for complex systems.

Simple, Transparent Pricing

Choose the plan that fits your development needs

Pro

$299
per month
  • 150 credits per month
  • 7-day free trial
  • Priority support
Start 7-Day Trial

Enterprise

Contact us
  • 1000 credits per month
  • Usage-based pricing
  • On-premises deployment
  • Bring your own model
  • Dedicated support
Contact Sales

Credits: Used for ReflexScript compilations and safety verification. Each compilation consumes credits based on complexity.

About Reflexible

Our Mission

We believe that AI-powered robotics should be safe, verifiable, and trustworthy. Reflexible bridges the gap between AI capabilities and safety requirements by providing a deterministic control layer that ensures every AI instruction is verified before execution.

Why ReflexScript?

Unlike prompt-based guardrails or human-in-the-loop review systems, ReflexScript enforces safety at the language level. Our domain-specific language compiles to MISRA-inspired C code with formal verification, making it suitable for safety-critical applications across multiple industries.

Industry Applications

ReflexScript powers safety-critical robotics systems across industrial automation, enabling manufacturers to deploy AI-controlled robotic systems with guaranteed safety properties for assembly lines, quality control, and process automation. In autonomous vehicles, our platform provides verified control algorithms for self-driving cars, ensuring deterministic behavior in safety-critical scenarios like emergency braking and collision avoidance.Medical robotics applications benefit from our certified safety controls, enabling surgical robots and medical devices to operate with the highest levels of safety verification required in healthcare environments.

Technology Approach

Our platform combines the flexibility of AI with the reliability of formal methods. ReflexScript provides static analysis, worst-case execution time estimation, and comprehensive safety verification while maintaining developer productivity through modern syntax and tooling. This approach enables rapid development of safety-critical robotics applications without compromising on verification or compliance requirements.

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