why rhobot.ai
The gears of our built world grind with human imperfection because they are designed, built and operated by humans.
Legacy systems in manufacturing are costly, rigid, requiring manual interventions, and in urgent need of rapid change.
AI will radically transform the built word, automating and driving efficiency that massively impacts the bottom line.
There are a staggering $1.5 Trillion in annual downtime costs across the Fortune Global 500 companies. Up from $864 billion just two years ago. Source
Businesses can lose twenty to thirty percent of their revenue each year to process inefficiencies. Source
The high costs of maintaining the status quo are unsustainable in a hyper-competitive, AI world.
Failure to adapt in the AI revolution is a terminal diagnosis like it was for Sears vs. Amazon in the .com revolution.
rhobot.ai Is Transforming Legacy Systems Today
We ingest more and better data, compute on the edge, and out-of-the-box. rhobot.ai breaks convention and works seamlessly with all legacy systems.​​​​​​​​​
✔ overlays existing architectures
✔ easy implementation
✔ rapid adoption
This transition is happening now with rohbot.ai in the field with some of the world’s most innovative software and technology companies.
rho (ρ)
it is the correlation of equivalence in machine learning models - we are in a relentless pursuit of rho - seeking the right data paired with the best analytical model to harness the power of AI and surpass human limitations to improve our built world.
bot
software automatically and autonomously performing a repetitive task. With rhobot.ai that means continuous optimization of your processes.
ai
going beyond human intelligence.
what we do
We design and deploy adaptable sensory and AI control networks - comprised of virtual sensors, edge computing applications, and artificially intelligent control systems.
Virtual Sensors
Edge Computing Applications
Artificially Intelligent Control Systems
we deliver real world results
chemical processes • power systems • advanced IT • materials handling • agricultural robotics
manufacturing • oil and gas • pharmaceuticals • food and beverage • infrastructure • utilities
The world's processes, facilities, buildings and machines are evolving into hyper-sentient, probabilistic entities that can interpret images and voice commands to auto-optimize performance, auto-update controllers, and inform future designs. ​
​It is time to reimagine how we think about processes.
Engineers are deterministic. Powerful AI is probabilistic.
Data is the new currency. Most businesses are not gathering the right or enough data to leverage probabilistic analyses. People deploy the physical sensors needed to monitor and control their processes, but do not extract the data required to optimize them with ML/AI.
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Digital twins are powerful design and modeling tools,
but do not accurately predict the performance of stochastic systems.
Edge computing offers opportunities to enhance automation, but also to build more robust AI data sets.
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The human machine interface (HMI) is a remnant of the 1980s.
rhobot.ai has proven auto-optimization with auto-updates to reduce human interaction with machines - and allow the machines to operate according to advanced math.
It's always better to do the math.​​​
Are you deploying the technology you need, from top to bottom, to evolve in the AI revolution?
how we do it
Dynamic sensory networks, edge computing, and AI
to breathe new life into legacy processes and facilities.
01 Sense More
It's common sense, to sense more - about your facilities, processes, and machines. Every time we add a new sensor we learn something new. There is a practical limit to the number of physical sensors you can install. Our patent-pending virtual sensors augment your physical sensors to show you things you never knew, build more robust data sets, and enhance your automation by enabling powerful edge computing applications.
02 Compute on the Edge
Gain a competitive edge by computing on the edge. There are new and powerful ways to automate outside of your traditional PLC, SCADA and BACnet systems. Automate prescriptive maintenance to further reduce down time, auto-adjust your controllers ahead of changes in the weather, and optimize your operations for better financial performance against changing market data related to costs of inputs, value of outputs, energy efficiency and carbon credits.
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03 Auto-Optimize and Auto-Update with ML/AI
There are unlimited combinations of control system tuning when it comes to feedstock combinations, machine speeds, temperatures, residence times, heat transfer, pressures, drive settings, valve settings, belts, fans and blowers - to name a few. Real world systems are stochastic. Even the most talented operators cannot test all combinations of every set point at 1% increments to find the theoretical optimization. Machine learning and probabilistic AI can. Our patent pending multi-model optimizer will improve your facility performance and auto-update your controllers to drive continuous improvement. And when you reach the theoretical optimization, it will inform your future designs.
Real in the Field
Our team knows how to get dirty. We have stabilized gas production, improved gas chemistry and fixed gas scrubbing systems in thermal-chemical process plants. We've optimized chemical processes, improved environmental controls, and driven 300% crop yields in robotic greenhouses. We are working to increase biogas digester performance by an estimated 20% across Europe. We are practical and get "things" done.
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Take a free consultative Zoom. You'll be happy you did. If we can't help, we will get out of your hair. If we can help, we will make a proposal.
We'll assess your approach to data and controls
Provide thoughts about upgrades
Explain how we would optimize
Make a proposal if you have interest
tech highlights
First two patents pending • Virtual Sensors • Artificially intelligent control systems agent
news & resources
Stay up-to-date with our latest breakthroughs and insights.
