The Learning and Memory Platform for Robots.

Helping robots learn from experience, remember spaces, and perform reliably where people live and work.

Faster Scaling

Launch fleets without starting from scratch.

Fewer Interventions

Stop solving the same edge case twice.

Consistent Behavior

Performance compounds over time.

Robots and
Continuity.

Robots don't fail because they can't act.
They fail because they don't remember.

Most robotic systems are capable. What they lack is continuity. They forget past situations. They repeat avoidable mistakes. They treat familiar environments like new ones.

Experience should compound.

Every deployment generates valuable experience. Most systems throw it away. AugustMille exists to make experience durable.

RELIABILITY
TRUST

Designed for People

Outcome for Humans

Robotic systems are ultimately judged by the people who encounter them. Delays, confusion, and inconsistent behavior aren't edge cases—they're the experience.

We design AugustMille focusing on reliability as the core UX.

How It Works

From experience to better behavior.

01

Learn

Robots capture what happens during real operation: successes, failures, and recoveries.

02

Remember

That experience becomes structured memory tied to physical spaces and repeated scenarios.

03

Apply

When robots encounter similar conditions again, they act with context instead of guesswork.

* This loop runs continuously in the background

Where It Fits

Works across robots and deployments.

Integrates with control & perception stacks so your team avoids costly rework and gains memory and continuity without disruption.

Existing Perception Stack
AugustMille Memory Layer
Existing Control Stack

Who It's For

For Manufacturers

Tools that let your robots adapt, not just operate.

Reduce site-specific tuning and repeat deployments with fewer regressions.

For Operators

Systems that learn from use, not reset after deployment.

Reduce friction, manual intervention, and slow progress in the field.

"The future of robotics is dependable, not impressive."

Robots succeed when they fit naturally into human environments. That requires systems that learn, remember, and improve through use.

That's the layer we're building.

Transmissions

Field Notes & Updates

Field Notes Coming Soon

We are documenting our process in building durable robot memory.