Building the infrastructure
embodied agents deserve
Open-core runtime infrastructure for governed embodied deployment.
AEROS builds the runtime layer that turns embodied AI from lab demos into governed, production-grade systems. We make deployment safe, auditable, and continuous.
We build governed, evolvable runtime infrastructure for embodied agents.
Not another robot OS. Not another model wrapper. A runtime platform that closes the gap between "AI demo" and "AI in production" — making it manageable, safe, and auditable for every deployment.
From research to runtime
AEROS started as a systems research program — seven papers exploring what it takes to make embodied agents truly deployable. Not just capable. Not just intelligent. Deployable: running continuously, safely, under governance, in the real world.
We saw that the gap between "AI demo" and "AI in production" for embodied systems wasn't a model problem or a hardware problem. It was a runtime problem. So we built one.
Today, AEROS is an open-core runtime with an Apache 2.0 core, a growing capability packaging system, and an enterprise governance layer. We're based in Shanghai.
Why embodied agents need runtime infrastructure
Models are necessary but not sufficient
Foundation models give agents the ability to reason. But reasoning without governance, state management, and lifecycle control is a demo, not a product.
Hardware diversity is accelerating
Humanoids, quadrupeds, AMRs, drones, collaborative arms — each with different capabilities. Capabilities must be modular, portable, and versionable.
Production demands governance
In warehouses, hospitals, and public spaces, "what happened?" and "who authorized that?" are not optional questions. Runtime governance makes them answerable.
The timing is right
Models are ready
Foundation models can now reason about physical actions, objects, and environments. The intelligence layer is no longer the bottleneck.
Hardware is diversifying
Humanoids, quadrupeds, AMRs, collaborative arms — the fleet is getting heterogeneous. A shared runtime layer is no longer optional.
Governance is becoming unavoidable
As robots move from labs to warehouses, hospitals, and public spaces, policy enforcement, audit, and accountability become regulatory requirements, not nice-to-haves.
Research depth meets engineering execution
Most robotics infrastructure is built bottom-up from middleware. AEROS is designed top-down from a governance-first thesis, validated through a 7-paper research program, and implemented as production-grade open-source software.
7 systematic papers
Runtime architecture, governance, evolution, contracts, federation, benchmarking. Not isolated publications — a coherent systems program.
Open-source MVP
Not slides. Running code under Apache 2.0.
Single-agent thesis
A clear architectural principle that every design decision traces back to.
Milestones
7-paper research program completed
Systematic academic foundation covering runtime, governance, evolution, contracts, federation, and benchmarking.
arXiv preprints published
4 papers publicly available for peer review and academic scrutiny.
AEROS open source MVP
Runtime Core released under Apache 2.0. Project page launched.
Runtime Core v1.0
Production-ready runtime with full lifecycle management, ECM support, and tracing.
First pilot deployment
Proof-of-concept deployment with a warehouse automation partner.
Governance Console launch
Enterprise governance product for fleet-scale policy enforcement and audit.
For investors and partners
AEROS is defining the governed runtime layer for embodied AI — a systems category that doesn't exist yet. We're looking for partners who understand infrastructure plays and are willing to invest in the platform layer.