From the open-source X1 to the production-class A2, our team works alongside research labs and pilot teams on the integration, skills, and security work that turns an AgiBot platform into something a real workflow can rely on.
AgiBot designs hardware, trains foundation models, and ships them as one stack. That makes the platform powerful out of the box — and demanding to integrate with real workflows. That integration work is where most of our AgiBot engagements start.
The X1 ships with hardware schematics, ROS 2 support, and a public training dataset. A good fit for research labs, university programs, and prototype teams that want to read the layers of the stack and not just call them.
AgiBot's GO-1 vision-language-action model gives the platform a shared brain trained on a large library of teleoperated demonstrations. We help teams adapt and evaluate it against their domain, tools, and safety constraints.
For pilots past the lab, the A2 line is built for longer duty cycles, structured environments, and human-robot interaction. We help integrate it with the MES, WMS, fleet, and safety systems already in place on the floor.
We work across the AgiBot family. Whether you are running research on an X1 or planning an early A2-W trial on a factory floor, the application and security layers we build are designed to carry between platforms instead of being thrown away at each step.
Wheeled humanoid · teleop & training research
An open-source biped/wheeled platform built for embodied AI research. Active community, public datasets, and a transparent SDK make it a reasonable starting point for new programs.
Full bipedal humanoid · production interaction
AgiBot's flagship full-body humanoid, designed for human-facing roles — reception, retail, service, light manipulation in semi-structured spaces. A common pick for early customer-facing pilots.
Wheeled mobile manipulator · logistics & industrial
A wheeled variant of the A2 aimed at higher-duty-cycle manipulation: pick-and-place, kitting, line-side replenishment, and material handover in structured indoor spaces.
Foundation models like GO-1 are only as good as the demonstrations behind them. We help teams stand up the teleoperation rigs, data pipelines, and labeling workflows that turn AgiBot deployments into a continuously improving learner — without leaking operational data outside the perimeter.
Six engagements that take an AgiBot from delivery crate to a working pilot — whether the platform is an open-source X1 or an A2-W on a logistics floor.
SDK install, network and CycloneDDS configuration, sensor calibration, dual-compute setup, and a verified ROS 2 baseline. Your team starts from a known-good system instead of debugging the box for a week.
Domain fine-tuning work for the GO-1 vision-language-action model. We help with demonstration capture, retraining loops, and evaluation suites tuned to your environment, in collaboration with the AgiBot team where it makes sense.
Bimanual pick-and-place, tool use, handover, gesture and speech-driven interaction. We compose policies, primitives, and safety envelopes into skills your operators can actually trigger.
VR teleoperation rigs, episode capture, labeling, and dataset hygiene. Plus the on-prem / VPC training infrastructure that keeps operational data inside your perimeter.
Multi-robot orchestration, MES / WMS / ERP integration, OTA pipelines, observability, and incident response. Designed to scale from one A2-W to a small fleet without changing the application layer.
Hardened update channels, identity for robots and operators, network segmentation, audit logging, and compliance evidence collection — engineered in from the first sprint instead of bolted on after a pilot.
Our co-founder visited the AgiBot team in China earlier this year, and we are actively building an application and security services practice around the platform. We are not the manufacturer, and we are not claiming to know every layer of every robot in the lineup.
What we do bring is enterprise integration experience, a security-first engineering culture, and a team that is putting real hours into X1, A2, and A2-W work. If that matches what you are trying to build, we should talk.
Humanoids sit inside production networks, touch operational data, and operate around people. Our default is to engineer identity, encryption, segmentation, and continuous monitoring in from the first sprint — not bolted on after a pilot becomes a production system.
Have an AgiBot on the bench — or planning to buy one? Let's talk about what we can help with.
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