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Zynoptes

Zynoptes provides an autonomous simulation engineer for robotics through its CLI tool, ZynoCode, which runs on the customer's own machines. The tool builds realistic simulation worlds from plain English descriptions, scales them into hundreds of variations, and automatically finds, fixes, and validates failures in Gazebo or NVIDIA Isaac Sim. It targets robotics teams seeking automated simulation coverage to accelerate development and reduce production failures.

Traction 4/10
Boston, United States · HQ
Founded 2026250+ followers
  • Robotics
  • AI Agents
  • Developer Tools
  • Artificial Intelligence
  • Software Only
Updated 5 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Robotics teams often deploy systems without adequate simulation coverage, relying on manual test scenarios that fail to expose edge cases and semantic errors. Building comprehensive simulation worlds and variations is time-consuming and expensive, leading to production failures that are costly to fix.

Solution

Zynoptes offers an AI simulation engineer for robotics through its CLI tool, ZynoCode. The tool runs on the customer's own machine and collaborates with the user to build an initial realistic simulation world from plain English descriptions and any existing simulation code. ZynoCode then scales that single world into hundreds or thousands of variations, executes them in Gazebo or NVIDIA Isaac Sim, analyzes outcomes for semantic and code failures, automatically fixes issues, and validates those fixes. This loop continues until no failures remain, ensuring robots are thoroughly tested before deployment while keeping the team's code and data on their own infrastructure.

Target Audience

The primary customers are robotics engineering teams that use Gazebo or Isaac simulators and need automated, scalable simulation coverage to accelerate development and reduce production failures.

Features

  • ZynoCode CLI operates entirely on the user's own machine, preserving data privacy and infrastructure control
  • Creates initial simulation worlds collaboratively from natural language and pre-existing simulation code
  • Automatically generates and executes between hundreds to thousands of world variations inside Gazebo or NVIDIA Isaac Sim
  • Identifies semantic failures prior to deployment, not just code-level errors
  • Autonomous find-fix-validate loop iterates until the simulation is clean of failures
  • Every reported failure includes its replay and evidence for easy verification
  • Compatible with existing simulators; works alongside Gazebo and Isaac rather than replacing them
This profile is AI-generated and may contain inaccuracies.