Question 1

What is physical AI, and how is Rhobot.AI's approach different?

Accepted Answer

Physical AI is software that improves how real-world industrial systems perform — products, machines, processes, and facilities — by applying probabilistic analysis to operational data. Rhobot.AI builds physical AI for industry rather than for robotics or consumer applications. 
The company's approach is OT-first and IT-compliant: the software is designed to run on-site, stay under the operator's control, and never expose customer data. It is built to deliver computable performance improvements in quality, yield, throughput, uptime, material use, and energy efficiency.

Question 2

Do Rhobot.AI's applications run on-premise or in the cloud?

Accepted Answer

Rhobot.AI's applications are on-premise AI software with an optional cloud-hybrid configuration. They run on the customer's site, keep data under the customer's control, and never expose that data externally. The applications are containerized, secure, and reliable, and use open fast data formats rather than proprietary storage. This deployment model is built for operators who need to keep operational technology data inside their own environment.

Question 3

Do I need to replace my existing systems to use Rhobot.AI's applications?

Accepted Answer

No. Each of the six applications can be used as a stand-alone product that connects to a customer's current systems, with no rip-and-replace required. The applications also communicate directly with each other, so an operator can start with one application and add others over time while maintaining a consistent architecture.

Question 4

How does Rhobot.AI's pricing work — is it per tag or per use?

Accepted Answer

Rhobot.AI's applications are licensed on a [model] basis, not per tag or per use. [One sentence on what's included.] This pricing approach is designed to avoid the per-tag fees and vendor lock-in common with legacy historians and proprietary OT platforms.

Question 5

How is this different from digital twins, model predictive control, design of experiments, or a data historian?

Accepted Answer

Rhobot.AI is designed to outperform Design of Experiments (DOE), Model Predictive Control (MPC), Digital Twins, and legacy historians and controls. It is a full software stack purpose-built for physical AI rather than a single technique or a legacy category retrofitted with AI. The stack includes data connectivity and mapping (pPipes), time-series data ownership without per-tag fees (pTruth), multi-model optimization with patent-pending model meta analysis (pOptim), equipment health monitoring (pPulse), patent-pending camera-based virtual sensing (pSense), and weather-aware process and building controls (pSky).
Customers can adopt any one application as a stand-alone product that connects to their existing systems, or run several together — the applications also communicate directly with each other to deliver a consistent architecture without requiring a full-stack commitment up front.

Question 6

What does "full stack" mean for industrial AI?

Accepted Answer

Full stack means Rhobot.AI covers every layer required to apply AI to a physical system, from data connectivity through optimization and control. The stack has six applications: pPipes for data connectivity and mapping, pTruth for time-series data, pOptim for multi-model optimization, pPulse for equipment health, pSense for virtual sensing, and pSky for weather-aware controls. Each application works as a stand-alone product and connects directly to the others, so customers can adopt one application at a time or run the full stack together.

Question 7

Which industries and use cases is Rhobot.AI built for?

Accepted Answer

Rhobot.AI is built for sectors that depend on physical assets and complex processes, including energy, food, water, chemicals, industrial goods, consumer goods, pharmaceuticals, buildings, metals, mining, engineered devices, OEM equipment, and other complex processes. Current deployments span chemical processes, agriculture, formulations across chemistry, food and materials, large facility energy management, distributed and remote infrastructure, and full-stack optimization for systems with complex chemistry or interacting machine and process conditions. See customer stories on the Use Cases page.

Question 8

Who is using Rhobot.AI's applications today?

Accepted Answer

Rhobot.AI's customers include Carbon AMS, which tested pPipes and pOptim at a small biodigester facility and saw higher production with less energy consumption. Carbon AMS has expanded to deploy the full suite at their flagship facility, with plans to propagate across their entire asset portfolio, including a new plant near Dublin, Ireland positioned to be among the most AI-controlled industrial facilities in the world. Rhobot.AI's applications are also deployed in advanced robotic greenhouses, where pPipes and pOptim were used to tune soil chemistry, environmental conditions, and machine controls to increase crop yield 3x at one location. Additional deployments span chemicals, energy, food, and robotics.

Full-stack physical AI
that works for you.

• Successful AI requires alignment of first principles: purpose, data, and math

• AI draws its power from probabilistic analyses of big data

• For products, machines, processes, and facilities that means numbers more than words

• Serious operators demand a rigorous approach and customer sovereignty

The full-stack platform, explained.

01 / DEFINITION

02 / DISTINCTION

What it is not

03 / OUTCOMES

What it delivers

Six powerful applications.

06 / WEATHER-AWARE

05 / VIRTUAL SENSING

04 / EQUIPMENT HEALTH

03 / OPTIMIZATION

02 / TIME-SERIES DATA

01 / DATA CONNECTIVITY

Connect with us to discuss
your needs or schedule a demo.

Full-stack physical AI that works for you.