An AI research and engineering company

Foundational softwarefor autonomous systemsin the physical world.

One Autonetics builds the core software layers that let intelligent machines perceive, decide, and coordinate at scale, in the real world, under real constraints.

Established
2026
Discipline
Systems · Research
Status
Active
01 / Approach

Research driven.
Systems first.

Autonomy is a stack, not a feature. We design the layers underneath. That is where correctness compounds and shortcuts decay.

  • 01

    Start from first principles.

    We treat each problem as if no convention exists yet. In autonomy, most do not.

  • 02

    Build core layers, not surface features.

    The hard problems sit beneath the application surface. That is where we focus.

  • 03

    Design for interoperability and long term scale.

    Systems we build today must compose cleanly with systems that do not yet exist.

  • 04

    Favor correctness, clarity, and robustness.

    Production autonomy fails quietly. We optimize for the failure modes you cannot see.

02 / Platforms

Across the autonomous
spectrum.

Our work spans the full breadth of intelligent physical machines, from articulated industrial arms to bipedal humanoids.

01

Industrial arms

Decision logic and motion planning for fixed base manipulators in industrial cells.

02

Cobots

Coordination and control for collaborative arms operating safely alongside people.

03

Mobile robots

Navigation, perception, and fleet logic for autonomous mobile platforms.

04

Aerial systems

Flight stack and coordination layers for unmanned aerial systems and drone swarms.

05

Humanoids

Whole body control and high level reasoning for general purpose humanoid platforms.

03 / Focus

Where we
concentrate.

Four interlocking domains. Each requires the other. None is solved in isolation.

01

Decision systems

Software substrates for autonomous decision making, from control logic to planning under uncertainty.

02

Coordination

Orchestration layers that let distributed machines operate as a coherent fleet rather than as isolated agents.

03

Real world modeling

Abstractions that capture physical environments accurately enough to be reasoned about and acted upon.

04

Reliability at scale

Performance, safety, and resilience treated as primary engineering concerns rather than afterthoughts.

04 / Why this matters

Autonomous machines are becoming unavoidable. Without strong software foundations, they remain fragmented, brittle, and difficult to scale.

The next phase of automation will be defined by software that allows machines to operate together rather than in isolation.

05 / Get in touch

We engage
selectively.

If you are working on advanced intelligent systems or large scale automation challenges, we would like to hear from you.