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Physical AI · off-robot software

We build the off-robot software behind Physical AI.

Your autonomy core is world-class. It's the software around the robot that brings it to life: the data pipelines, the robot operations, the tools developers actually use. That layer is ours.

1,000+
robots running on systems we built
90%
of engagements renew past the first scope
16
production systems shipped in the past 12 months
4 weeks
average time to first MVP
The off-robot stack

Three layers between the robot and the business.

Every fielded fleet needs an off-robot stack: a data & simulation platform to develop and validate, robot operations to run it in production, and developer tooling to ship and harden the software behind it. We build each layer as a named, scoped engagement. Every name below is backed by a system running in production.

Moraleda
Developer Tooling
The engineering backbone to connect it all
OTA software update infrastructure
CI/CD
Logs management and replay
Robotics KPIs
Mission-critical architecture
Enterprise-readiness
Restructuring code
Kirke
Robot operations
Everything to run it in production
Systems Integration
Factory integrations
Fleet Management
Observability & Replay
Configuration management
Computer Vision
Defect detection pipelines
Vision systems
Robot UX for Operator Interfaces
Robot UX for Remote Intervention
UX research for detailed enterprise requirements
Fast UI for prototypes
Messier
Data & Simulation Platform
Physical AI data capture and synthesis
Physical-AI Data
Data Interoperability
ML Pipelines & MLOps
Simulation & Test
MAGELLAN
Managed Operations
We stay on and run it, across all three layers. How we engage →
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Fast impact,
Lasting results.

We're an operating partner: a self-directed pod, embedded in your organization, accountable for a layer of your stack, and still there when the fleet is running.

Engagements ladder: a two-week Pathfinding Sprint to scope the frontier, an Embedded Pod to build it, and Managed Operations if you want us to stay on and run it.

01 · Find
Define what should actually be built

We start curious. Senior architectural thinking and product judgment: the right questions, then the right scope.

02 · Build
Execute from day one

Iterative, pragmatic, fast. We build toward production, not toward a demo. Every sprint closes the gap between idea and real.

03 · Ship
Deliver on time

Every engagement lands as documented, maintainable code: the right product, built with the judgment required, in production.

04 · Support
Update and adapt

The world is not a static place. We stay available to keep things running smoothly, long after we deploy.

The Lab

A senior pod, pointed at your hardest, least-proven thing.

No pre-scoped layer. No named capability. You bring the frontier: your hardest initiative that would mean the most to solve. We bring a self-directed pod with founder oversight. Few teams need this.

Tell us what's impossible →

"90% of our clients renew beyond the initial engagement. Nobody engineered that outcome. It's what happens when the team actually delivers."

Steve Hansen
Steve Hansen
Co-Founder

"The interesting problems are always at the frontier, which is also where the training data runs out. Judgment still matters more than tooling."

Clark Jeria
Clark Jeria
Co-Founder

"The teams we build here, these pods of engineers focused on hard problems, are all focused on shipping the right thing. Everyone understands the end goal, so we don't waste time."

Samanta Elgueta
Samanta Elgueta
Chief of Staff

On AI: AI tools are always confident, and sometimes correct. That gap matters most at the frontier, where problems are new and the training data is thin. We use AI aggressively when the context supports it, and carefully in production. The judgment remains ours.

How we think about AI →
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Tell us what you're working on.

We'll be direct about how we can help. Most engagements start with a two-week Pathfinding Sprint. We'll be honest about what we find.

Start the conversation →