OpenClaw for Teams — The most secure way to manage OpenClaw with your team
The most secure way to manage OpenClaw with your team
Promoted
Maker
📌
Hello Folks, since quite a while we had been working on an interesting problem which we have experienced and is known industry wide. As someone who works in autonomous robotics, we’ve seen how hard it is to debug hardware + software + behavior when systems fail in the field. Logs aren’t enough. Docs are scattered. People waste time hunting instead of fixing. Also leadership and development teams lacks track of what's the ground-level situation. This all info will be at one place.
I'm super excited to finally share Hexar.ai, a canvas based intelligent tool we've been building to help teams diagnose and troubleshoot complex systems like robots, machines, and embedded platforms. . core features: 1. Visual fault trees on canvas that map issues across domains 2. AI assistant that understands your system and suggests fixes 3. Inbuilt Web search to reduce hallucination 3. Unique multi-domain architecture with system level understanding 4. One source of truth for your engineering brainpower 5. Public projects imagine public GitHub repositories for open source robotics projects.
We're launching with a focus on robotics (like TurtleBot4 and ROS2 systems), but the core idea works for any complex system that breaks in the real world.
Going forward we will be adding more autonomy with a holistic approach which truly changes how you build complex systems or robots.
We’d love to hear what you think, especially if you’ve spent hours debugging things like TF trees, odom issues, or flaky sensors. And if you're building hardware + software products, we'd love to hear how you're handling faults today.
Thanks for checking us out, and feel free to drop feedback or questions - we're listening!
Hello Folks, since quite a while we had been working on an interesting problem which we have experienced and is known industry wide. As someone who works in autonomous robotics, we’ve seen how hard it is to debug hardware + software + behavior when systems fail in the field. Logs aren’t enough. Docs are scattered. People waste time hunting instead of fixing. Also leadership and development teams lacks track of what's the ground-level situation. This all info will be at one place.
I'm super excited to finally share Hexar.ai, a canvas based intelligent tool we've been building to help teams diagnose and troubleshoot complex systems like robots, machines, and embedded platforms.
.
core features:
1. Visual fault trees on canvas that map issues across domains
2. AI assistant that understands your system and suggests fixes
3. Inbuilt Web search to reduce hallucination
3. Unique multi-domain architecture with system level understanding
4. One source of truth for your engineering brainpower
5. Public projects imagine public GitHub repositories for open source robotics projects.
We're launching with a focus on robotics (like TurtleBot4 and ROS2 systems), but the core idea works for any complex system that breaks in the real world.
Going forward we will be adding more autonomy with a holistic approach which truly changes how you build complex systems or robots.
We’d love to hear what you think, especially if you’ve spent hours debugging things like TF trees, odom issues, or flaky sensors. And if you're building hardware + software products, we'd love to hear how you're handling faults today.
Thanks for checking us out, and feel free to drop feedback or questions - we're listening!