Applied deep tech / Physical AI / Autonomous systems

Intelligence for the physical world.

Constela develops hardware and software that let physical machines perceive, reason, coordinate and adapt.

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The hard part of robotics is getting the pieces to work together: software with hardware, one machine with another. That’s where we work. We’re integrators at heart, and the same foundation runs through everything we build.

We’re early. Each program below is in development and labeled with where it stands, and we’ll show the work here as it reaches hardware.

One foundation under every program

Constela Core is the shared technology our programs are built on. It grows only as real products need it, and it comes down to four capabilities.

01
Perceive
Read the physical world through cameras, sensors and estimation, on one synchronized clock.
02
Reason
Turn observations into events, decisions and plans that an engineer can inspect.
03
Coordinate
Share state between machines so they can divide work and cover for each other.
04
Adapt
Adjust behavior and calibration when conditions change, and recover safely when they change too far.

Safety-critical motion stays deterministic and independently protected. AI informs those systems; it does not override them.

Four programs, one company

Each program applies the same foundation to a different problem. They are at different stages, and we say which.

One task. One machine.

Some problems don’t need a platform or a long integration contract. They need one machine that does one job, soon.

Rapid builds are single-purpose automation for a specific task: a fixture, a small robot, a vision check. Each one is engineered to be good enough for the job in front of it, and you get a working machine instead of billable hours.

For startups, small manufacturers and R&D teams with a one-off, temporary or awkward job that doesn’t justify a full automation project.

Describe your task
  1. 01

    Scope

    You tell us the task and what done looks like. We agree on a fixed scope before any work starts.

  2. 02

    Build

    We build from proven off-the-shelf parts and test on your actual parts or process.

  3. 03

    Deploy

    Rent the machine for as long as the job lasts, buy it outright, or hand the task to us to run.

Research-driven, application-focused

Progress in this field comes from hard problems in real conditions. We hold ourselves to four engineering principles.

Intelligence
Systems that interpret physical information and support real decisions.
Coordination
Independent machines, sensors and devices that work as one.
Modularity
Hardware and software built to be reused across applications.
Accessibility
Lower cost, less complexity and less time to deploy. This is our aim, and we will publish evidence as we earn it.