Cerulion GTM brain

Cerulion provides an open-source robot runtime and agent harness for robotics engineers building and debugging physical AI systems.

category

Robotics middleware and debugging

market profile

  • text: Robotics teams must move sensor data efficiently and reproduce intermittent failures across hardware and software releases.
  • text: ROS 2 is an established baseline with multiple competing middleware and robot data tools; compatibility can reduce switching friction.

personas

  • title: Robotics software engineer
    pains:
    • Intermittent field failures are difficult to reconstruct from incomplete logs.
    • Large camera frames and sensor messages create communication latency.
  • title: Head of robotics engineering
    pains:
    • Regressions discovered on physical robots slow releases and increase testing effort.
    • Changing middleware risks breaking a working ROS 2 stack.
  • title: Embodied AI platform engineer
    pains:
    • Agents need bounded access to robot tools and traceable calls.
    • Production failures require evidence for diagnosis and repeatable tests.

icp

  • text: Robot manufacturers and automation developers running ROS 2 on Linux with substantial camera or sensor data are plausible early adopters.
  • text: Embodied AI teams moving from prototypes to real robots and continuous integration have acute debugging and replay needs.

message pillars

  • text: Use an open runtime to give agents access to physical robots.
  • text: Capture and replay failures to make debugging repeatable.
  • text: Adopt without abandoning ROS 2.
  • text: Use shared memory to lower local communication overhead.

objections

  • objection: We cannot rewrite our ROS nodes.
    response: Test the stated ROS 2 Jazzy compatibility on a representative workload and check supported platforms before migration.
  • objection: A benchmark on one machine may not reflect our robot.
    response: Run the transport benchmark on your hardware and message mix; the published figure is a single desktop measurement.
  • objection: Giving an agent robot control may be unsafe.
    response: Review the declared-tool limits and e-stop design, and verify availability: the agent harness is described as a next release shown in simulation.

competitors

  • name: eProsima
    why: Fast DDS provides ROS 2 middleware and competes for the transport layer.
  • name: Apex.AI
    why: Apex.Grace provides a hardened ROS-based robotics software stack.
  • name: Foxglove
    website: https://foxglove.dev/product
    why: Its robot data collection and debugging tools overlap with recording and analysis workflows.

keywords

  • robotics middleware
  • ROS 2 low latency
  • robot failure debugging
  • robot data replay
  • zero copy robotics communication
  • embodied AI agent runtime

voice

  • Technical and benchmark-led
  • Direct
  • Developer-oriented

signals

  • text: A team uses ROS 2 and has latency or throughput problems with camera and sensor streams.
  • text: Robotics engineers are building regression tests from recorded robot failures or adding AI agent control.

stack

  • Rust
  • ROS 2 Jazzy
  • Linux
  • MCAP

pricing

model: unknown

motion

community_led

channels

  • GitHub
  • Discord
  • developer documentation
  • robotics events
  • LinkedIn

confidence

medium

Founders

  • name: Lakshay Sharma
    title: Founder/CEO
    role: CEO
    bio: Lakshay is the cofounder/CEO of robotics middleware startup Cerulion. Prior to this, he studied computer engineering, astrophysics and robotics at the University of Pennsylvania, and researched robot motion planners at MIT.

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