An open platform for robot makers

IMPLESS

Robotics, made personal. Open, and yours to own.

What this is

A creator hub where robotics work is shared and rewarded, a development studio that runs from the first simulated frame to a fleet in production, and a native token funded by real usage rather than emissions.

Shipping since
2018
Robots in the field
Three
Source code
Public
Est. 2018 Six years of engineering Public repositories IMPLESS LLC
01

Robotics is not a private workshop

For half a century, robots were assembled behind locked doors. Built by a few firms, sold to a few buyers, understood by almost no one. We believe the next ones belong in the open, shaped by a wide community of developers rather than a handful of specialists, and owned by the people who actually make them.

“A robot is not a product you are handed. It is a craft you are invited to join.”

That conviction has a concrete shape: two offerings and an economy that binds them together. A creator hub where robotics work is published and rewarded, a development studio that carries an idea from simulation to deployment, and a native token that pays the whole system out of real usage.

03

The record

Built in the open,
and already shipped.

How we work in the open

Before a platform can earn the word open, it has to ship. Six years of engineering sit beneath this one, and three robots that left the bench and met the world, the first of them in 2018. There is no black box here. The repositories are public, and the source is yours to read, fork, and bend toward your own machine.

Legibility was not bolted on late. It is the floor we started from, and it is the difference between a tool you rent and a tool you can actually hold.

Shipping since
2018The first machine left the bench and went to work.
Robots delivered
ThreeComplete machines, not demonstrations.
Engineering behind it
SixYears of platform engineering, not a weekend prototype.
Source
PublicRead it, fork it, run it on your own hardware.
04

The shortcut trap

Every closed tool is a tunnel
that narrows as you walk it.

Proprietary platforms promise a head start, then quietly tax every maker downstream. They lock away the rhythm a community needs to improve itself, and sell you the symptom in place of the cure.

A closed stack and an open one, compared on the things that decide a project
What you are deciding A closed stack IMPLESS
Reading the source Documentation, if you are lucky, and a support ticket when it disagrees with reality. Public repositories. The behavior you are debugging is the code you can open.
Leaving later Your assets live in a format only one vendor reads. Leaving means rebuilding. Portable work and portable data. Nothing is designed to keep you from walking out.
Getting a fix You wait for a roadmap you do not control, behind customers larger than you. Patch it, publish it, and the next person who hits it inherits your fix.
Choosing hardware Supported bodies are the ones that serve the vendor's commercial interest. A cross-robot layer in the development environment, so one behavior targets many bodies.
Reusing other work Sample code and a license that forbids the interesting half of it. A marketplace of published assets that pays a royalty back to their authors.
Who the value accrues to The platform, and then its shareholders. The creators and contributors whose work made it worth paying for.

Open is slower to begin and far faster to compound, because every fix, every improvement and every published asset stays within reach of the next person who needs it. We build a floor you can always stand on, and step off of.

05

From simulation to production

The four turns
of a living robot.

A robot is never finished. It is simulated, trained, deployed, operated, and then fed back into simulation a little wiser than before. The Studio is built around that loop instead of across it.

  1. Simulate, where mistakes are free

    Begin in software. The simulation and template library seeds reproducible worlds, so an experiment that worked yesterday works again today, and on a colleague's machine as well as yours. Templates capture the hard won setup that usually lives in one engineer's head and nowhere else.

    Reproducible by default
  2. Train, with models tuned for robotics

    Foundation models built for robotics turn collected and simulated data into behavior. This is where a policy learns what good looks like, and where a skill reused from the Creator Hub gives it a head start instead of a blank page. Every reuse pays a royalty to whoever published it.

    Data and models
  3. Deploy, across the bridge to hardware

    The same project crosses from simulation into production carrying its data and its assumptions intact, rather than starting calibration again from zero. Versioning, staged rollout, observability and the enterprise controls a serious fleet demands are part of the path, not a later integration.

    Sim to real
  4. Operate, on a real-time runtime

    A lightweight operating system with real-time capabilities runs the robot in the world, on the same stack the viewport ran against during simulation. The telemetry it returns flows back into the template library, and the loop turns again with better assumptions than it had before.

    The runtime
06

Who builds here

One platform,
three kinds of maker.

Makers and researchers

You have an idea and no budget for a stack

Start in simulation tonight, pull a published skill instead of writing one from scratch, and keep ownership of what you make. If your work turns out to be useful to other people, publishing it earns you a royalty rather than applause.

Teams and startups

You are shipping hardware on a deadline

Replace the relay race between a simulator, a data pipeline, a deployment script and an operating system nobody fully trusts. One integrated chain means every hour not spent gluing tools together is an hour spent on the robot itself.

Manufacturers and enterprises

You are running a fleet, and a supply chain

Deploy and manage with versioning, rollout control and observability, and fund challenges that pull the field toward models that are better and cheaper. The progress you pay for is shared, not locked to a single buyer.

The whole idea, in one line

“A robot you can read
is a robot you can own.”
07

Plainly stated

What is here today,
and what is still arriving.

Open robotics is not a manifesto to admire. It is a workflow you can start tonight. Some pieces are still on their way, and we would rather say so here than let you find out later.

Working now

  • The Development Studio. Simulation, template library, training, build and deployment in one context.
  • The Creator Hub. Publishing, versioning, usage metering and royalties on reuse.
  • Cross-robot compatibility. A behavior authored for one body can target another from the same project.
  • The real-time operating system. Lightweight, efficient, and the same runtime in simulation and on hardware.
  • Deployment and fleet management. Versioning, rollout, observability and enterprise controls.
  • Public repositories. The source is open to read, fork and run.

Still arriving

  • The low and no-code builder. The same authoring workflow, opened to hands that do not write code.
  • A wider challenge program. More manufacturer funded problems, posed in the open and judged on shared evaluation packs.
  • A deeper template library. Every production deployment teaches us which worlds are worth shipping as templates.

We will keep saying this out loud

When a piece of the platform is unfinished, it will be described as unfinished, here and in the repositories. A roadmap is only useful if you can trust the parts marked done.

Now it is your turn

Tell us what
you want to build.

Publishing your first skill, carrying a fleet from simulation into production, or simply working out whether open robotics fits your team. Start the conversation and we will answer with something useful.