Originally Posted: 7 February 2021
Author: Darrell Proctor for POWER magazine
Los Angeles, CA


POWER magazine recently featured our own Stephen Kwan, Director of Product Management for Power Generation/Grid, in a Q&A interview-style spotlight.
The POWER Interview: AI, Big Data, and Efficiency is an in-depth feature that endeavors to get a glimpse into Stephen’s expert perspectives on artificial intelligence and machine learning as they apply to the electricity sector, with insights into what the future holds as the power generation landscape continues transforming. POWER magazine also took the opportunity to highlight some of the advanced, differentiating technologies offered by Beyond Limits.
“Integration and adoption of machine learning and other artificial intelligence solutions are already increasing exponentially,” said Stephen Kwan. “At this pace, the outlook for advanced technologies points toward AI approaches becoming the gold standard for the future growth of the power generation/utilities industry.”
Originally Posted: 11 January 2021
Author: Scott Matteson for Smart Industry
Los Angeles, CA


Tech Republic featured our own CEO AJ Abdallat in an interview-style feature that discusses his perspectives on the valuable role AI is playing to help increase operational efficiency in the oil and gas, energy, manufacturing, and healthcare fields. The interview also sheds light on the importance of adopting more advanced AI solutions that are explainable so these critical industries have a clearer path to implementation.
“AI is playing a critical role in operational efficiency across the energy value chain to optimize resource production, democratize domain expert knowledge, and increase value while reducing environmental risk. In the oil and gas sector, AI is enabling companies to optimize their production and improve asset maintenance in many ways, such as pinpointing drilling opportunities, inspecting pipes for problems with self-navigating robots, and predicting equipment wear and tear.”
Originally Posted: 13 December 2020 & 4 January 2021
Author: Matthew V. Veazey for RIGZONE
Los Angeles, CA
RIGZONE recently featured our own Michael Krause, Data Scientist, in not one but two articles on the news portion of their company website.
What Were the Top Oil and Gas Trends in 2020? Is a feature that was published on the final day of 2020 in which RIGZONE sought the insights of “informed industry-watchers” regarding their considerations on the topic of recapping the sector’s year. Michael’s observations were highlighted among top 5 trends with a focus on the pandemic’s impact on accelerating the adoption of Cognitive AI and other advanced digital transformation solutions in upstream oil and gas.
“COVID-19 jump-started the long-awaited digital transformation and AI adoption in many upstream oil and gas organizations. Many domain experts, engineers and operators have had to learn new skill sets and built trust in AI and other modern technologies in a very short period of time.”
What Looms for Oil and Gas in 2021? Is a follow-up feature that was published in the first week of the new year in which RIGZONE built on the previous article’s focus and took a closer look into the insights of “informed market-watchers” regarding their considerations on what is to come for the industry. Michael’s observations were selected once again and highlighted among top 5 trends with a focus on the shifting roles of oil and gas domain experts as AI technologies help to supplement some of the traditional aspects of those jobs.
“So far, AI has had the biggest impact on the industry through data cleanup and analysis – the critical next step will be using advanced AI to figure out what all that data means and the reasoning around the meaning of the results, and oil and gas companies will increasingly try to recruit to meet those needs accordingly. This will help domain experts like geoscientists free up their time from tedious analysis work to better leverage their expertise to understand the reasoning behind the results and interpret that to solve larger, more complex industry challenges.”
14 January 2021
Originally Posted: 16 November 2020 for Smart Industry
Author: AJ Abdallat, Beyond Limits CEO


Smart Industry featured an article by our own CEO AJ Abdallat that touches on Cognitive AI’s flourishing impact on the utilities industry. The article highlights challenges the industry is currently facing and how advanced technologies, like Beyond Limits’ pioneering solutions, are helping to pave the way for transformational digitalization efforts designed to facilitate waning access to expert knowledge, increase efficiency, and streamline entire operations.
“The capabilities of AI in the utilities space have only scratched the surface of the technology’s potential impact. So much more can be possible if/when utilities companies are willing to make investments in their technological advancement; these investments will help amplify decades of existing industry-operator intelligence and intuition.”


Unite.AI featured Beyond Limits in an article, written by Antoine Tardif, featuring some of our experts’ perspectives on artificial intelligence trends in 2021. Our own Kim Gilbert, Ph.D., Manager Technical Commercial Engineering & Michael Krause, Ph.D., Data Scientist, weighed in with their predictions on the significant impact advanced, enterprise-grade AI will have on improving the efficiency and capabilities of industries across the globe over the coming new year.
“When traditional AI and machine learning solutions are no longer enough, utilities operators will turn to new technologies like Cognitive AI, which is able to provide operators with a global perspective of the plant and plan to make informed decisions when considering numerous tradeoffs, goals, and constraints at the same time.”
17 November 2020
Originally Posted: 16 November 2020 for Forbes Technology Council
Author: AJ Abdallat, Beyond Limits CEO


AJ Abdallat is CEO of Beyond Limits, the leader in artificial intelligence and cognitive computing.

Our world has reached a point where society recognizes the planet is under stress, with energy and technology sectors at the forefront of this reckoning. Microsoft, in association with PwC, revealed the urgency of the challenges currently facing our planet, reporting that 91% of people don’t live in standard air quality-controlled areas, 60% of biodiversity has been lost since 1970, and greenhouse gases are at their highest levels in 3 million years.
To get ahead of these challenges, we must reduce carbon footprints. AI will play a crucial role in supporting the energy industry’s goals of achieving a more efficient, connected and sustainable future.
The Net Zero Agenda
Many entities have recently announced plans to shrink their carbon footprints to “net zero” over the next few decades, commonly with a target year between 2030 and 2050. According to myclimate, “Net zero emission means that all man-made greenhouse gas emissions must be removed from the atmosphere through reduction measures, thus reducing the Earth’s net climate balance, after removal via natural and artificial sink, to zero. This way humankind would be carbon neutral and global temperature would stabilize.”
Strategies around this initiative have been paramount to the energy industry’s present and future operational plans. Some major oil and gas companies have even revealed ambitious blueprints, budgets and organizational transitions to do their part in reducing emissions and turning the climate change tide.
One example of a company making strides toward this aim is bp. The company aims to become net-zero by 2050 and hopes to help the rest of the world achieve that goal, too. The major energy company also highlighted near-term goals. According to MarketScreener, “By the end of the decade, it aims to have developed ‎around 50 gigawatts of net renewable generating capacity — a 20-fold increase on what it has ‎previously developed, increased annual low carbon investment 10-fold to around $5 billion, and cut oil ‎and gas production by 40%.”
The company says all of this is aimed at “performing while transforming — operating safely and reliably as well as delivering on the promises we’ve made to shareholders.” Shell, Spain’s Repsol, and Norway’s Equinor have also set their net zero targets for 2050.
Advanced AI At The Ready
As the CEO of an AI company making software for energy, I understand the importance of a worldwide movement toward a lower-carbon future. Our company plans to continue supporting client needs while tackling the cleaner energy challenge together, playing a part in the complex global challenge of transitioning to a future of less carbon while still meeting the energy needs facing our world today.
AI will play a key role in helping companies and industries achieve net zero ambitions. Accomplishing a low carbon future will require more efficient operations that help increase productivity and reduce waste. AI for energy can work toward this with technology designed to optimize efficiency, yielding more economical utilization of resources to accelerate renewable, decarbonization and carbon-negative initiatives across the globe.
Industrial-Strength AI: Modern Solutions For Global Evolution
Digitizing downstream operations has shown promising results, with plant efficiency increasing by 8%-12%. Amplifying the potential for AI to make its mark on this movement means leveraging the most advanced forms of technology. Explainable, cognitive AI systems are already in place to meet that need. These systems can ingest and recognize sizeable quantities of data that exist in large industrial facilities like refineries and leverage codified human expertise to make recommendations at company-wide levels.
Examples can be found in solutions supporting downstream operations for facilities today like bp’s Whiting refinery project. “As the largest refinery within bp, we need to embrace the dual challenge — a world that is demanding lower-carbon energy, while at the same time demanding more energy overall,” refinery manager Don Porter said. “We are positioning ourselves to thrive in this evolving context.”
A blend of knowledge-based reasoning and digitization is designed to help decision-makers detect unforeseen prospects and make tough choices. The subsequent improvements in processes could lead to streamlined operational capacity where facilities function more efficiently and reduce waste. Improved communication, strengthened collaboration, increased fuel savings and decreased waste means companies may also increase the potential to grow revenue, particularly in high-value industries.
Cognitive AI is excellent at understanding complicated problems where industrial practices are comprised of a perpetual influx of data like that found in energy, utilities and industrial IoT — where processes require constant, transparent oversight. Cognitive AI delivers this clarity through human-readable audit trails, allowing an entire organization to track how they may optimize processes to extract more value and decrease waste, ultimately lowering carbon footprints and moving closer to net zero.
A Realistic Outlook
Transitioning the energy industry from primarily oil and gas to more renewable sources won’t happen overnight. Global communities will require energy during this phase of fluctuation. Solutions that make processes more efficient and decrease waste will be essential to this transitional stage.
Humans still require legacy energy sources, alongside transportation and refinement of high-value assets. Our fossil fuel portfolio cannot disappear overnight. We should instead determine how to better manage it as we shift toward a more renewable future with less waste, greater efficiency, more productivity, and a lower carbon footprint. Solutions designed to help decrease carbon intensity per barrel of oil can help lead us toward a more carbon-friendly outlook while ensuring the energy needs of the world are met as we move forward into a net zero-focused future.
For all industries eager to follow this path forward toward embracing carbon-reducing AI solutions, here are two tips for choosing a solution provider:
+ Partner with an industrial-grade AI software company with tech that has capabilities to provide holistic, organization-wide outlooks and strategies.
+ Select an artificial intelligence company that has an AI-readiness program to seamlessly transition entire enterprises into their digitization strategy right from the get-go.
AI companies with both of those elements could be key for anyone taking steps to realize net zero objectives.
Check out the article on Forbes Technology Council here.
3 November 2020
Originally Posted: 30 October 2020 for Built In LA
We’re excited to announce that Built In LA featured Beyond Limits’ own Stephanie Datu in a recent article talking about her approach to technical project management having come from a software engineering background. The interview-style spotlight highlights Stephanie’s strategy around how she bridges the gap between software engineers, data scientists and AI engineers to fuel innovation, placing a great deal of importance on seamless cross-functional collaboration and diversity.
“A healthy mixture of backgrounds is an ideal scenario for creating technology like artificial intelligence,” Datu said. “You want that variety of perspectives from different specialties, opinions, and walks of life creating the technology that’s meant to make decisions in a similar manner to the human brain.”
Read the rest of Built In LA’s article here.
Originally Posted: 28 August 2020
Author: Mark Labbe for TechTarget
TechTarget has featured Beyond Limits in an article, written by Mark Labbe, spotlighting some of the benefits of AI solutions for the oil and gas industry. Our own CEO, AJ Abdallat also weighed in on some of the technological challenges the industry has faced in the past with a positive outlook for the future, explaining how oil and gas majors have been overcoming those challenges through the discovery of advanced artificial intelligence that is designed to provide economic and environmental optimization – among several other benefits.
“Oil and gas, highly sensitive to economic cycles, saw a renaissance in digital technology after the shale bust in 2015-2016, said AJ Abdallat,” CEO and founder of AI vendor Beyond Limits. “The collapse forced many oil and gas companies to file for bankruptcy and prompted technological changes.”

Read the full article here.

21 August 2020
Originally Posted: 14 August 2020 for Forbes Technology Council
Author: AJ Abdallat, Beyond Limits CEO


AJ Abdallat is CEO of Beyond Limits, the leader in artificial intelligence and cognitive computing.


This year ushered in a period of unpredictability; individuals, businesses, industries and economies were suddenly battling Covid-19. Few were exempt from the challenges presented by this pandemic, and many are seeking solutions that can help.

This moment in time has uncovered just how crucial AI solutions can be for the future of healthcare. Rapid changes have made it difficult to manage the pandemic’s spread and determine what the industry will look like after coming through the other side. Regardless of complications, it’s still the responsibility of leadership teams to use every tool at their disposal to manage the pandemic and be better prepared for the future. It matters that legitimate attempts are made by all — for the good of all — to pursue pioneering solutions in the face of this global challenge.

As the CEO of an AI software company moving into the healthcare vertical, I quickly realized this move needed to be expedited as Covid-19 presented itself. In collaboration with the CEO of a medical facility, my company produced a Covid-19 predictive model in conjunction with their superlative medical knowledge. I learned during this experience how quickly this pandemic has shortened the transition from ideation to utilization, and how well positioned AI is to aid advancements in healthcare.


Artificial Intelligence: A Driving Force For Healthcare

Critical industries like healthcare require sophisticated methods for increasing visibility across operations. From cutting-edge wearables providing more insight into individual health to expert support via reliable prognostic exploration, the medical community is realizing the benefits of numerous AI solutions helping drive dynamic advancements for healthcare.

Examples of solutions taking a stand in the face of this pandemic include predictive models such as Penn Medicine’s CHIME, a Covid-19 capacity planning tool, and Washington State’s predictive dashboard, another pandemic risk assessment tool.

The predictive model my team built in partnership with renowned medical professionals focuses on the domain of expert knowledge. It works with multiple layers of heterogeneous and highly dimensional data categories to evaluate the consequences of social mobility on infection and hospitalization rates while estimating resource allocation supply and demand. Integrating multiple sources of time-series and spatial data into a model with learning capabilities was essential for more accurate decision-making.

This process has shown that when it comes to these predictive tools, it’s vital to understand that in order to utilize all of this data effectively, most conventional data processing, classification, pattern recognition, modeling and forecasting tasks must be automated and streamlined. This is key to delivering near real-time models with learning capabilities.

Such advancements in data science and AI can offer significant value in terms of creating data-driven, evidence-based tools that improve predictive performance over time. Codifying medical domain expertise in epidemiology with advanced data science techniques into models has the potential to protect millions of people from the risks of future pandemics.

Additional examples of AI integration into healthcare working in the fight against Covid-19, include chatbots and telehealth initiatives that utilize conversational AI, as well as AI-based drug and vaccine discovery and medical insurance fulfillment/billing optimization solutions. 


The Secrets To Successful AI Adoption And Implementation

AI adoption and implementation are the two biggest challenges in this technology becoming more commonly used in healthcare. A dichotomy emerges when discussing the realities of the industry’s AI adoption efforts, but a critical principle also lives at the center of the divided sentiment. This is where we find a key consideration: prioritizing expert input to ensure humans are always in the loop through explainable recommendations.

Explainable AI is an important component to trusted AI that I believe could help forge the way forward to implementation — AI that’s auditable and accountable, and that amplifies the capabilities of the human experts it seeks to support rather than replace.

Other tactical, actionable considerations for how industry leaders and professionals facilitate successful AI adoption and implementation include:


• Working directly with and learning from creators of the AI solution in question. AI engineers should be training (and working on the ground in tandem with) healthcare leaders, doctors and professionals who will be using the solutions. No matter how powerful a solution may be, it will never be adopted if the UI/UX is confusing or impractical for users’ day-to-day purposes. User-friendly UI understandable by everyone in the organization is vital.

• A shift in industry perspective regarding wide-spread AI adoption. Leadership hesitation to adopt is often triggered by patient reluctance toward AI, a technology they may fear out of misunderstanding. To safeguard patient trust in AI, transparency regarding the inherent value of AI and its functionality is key. Easing patients into a better comprehension of AI’s benefits with clarity on how it can help aid in their care creates a more comfortable culture overall.

• Implementation of best practices to support this shift in perspective. In addition, nurturing a digital outlook by exploring new tech and involving staff at every level, while building on their capabilities and outlining an AI approach out the gate, are fundamental factors. Engaging doctors, nurses, technicians, administrators and other professionals with a well-defined outlook on success will encourage deployment participation.


Despite the difficulties created by Covid-19, leadership teams should stay the course for the good of their own business while making an effort to guide their customers, and the global community at large, by pursuing solutions that may help the world push past this pandemic.



18 August 2020
Originally Posted: 14 August 2020 for Unite.AI


AJ Abdallat is the founder and CEO of Beyond Limits, a pioneering Artificial Intelligence company based in Glendale, California. Beyond Limits is a pioneering AI company with a unique legacy from the NASA space program, notably AI technology developed at the Jet Propulsion Laboratory (JPL). They enhance software systems developed for NASA/JPL, giving them additional capabilities and hardening them to industrial strength.


You’ve had a long fascination with space, what was it that sparked this interest?

I watched Star Trek and Doctor Who as a boy, and was always fascinated with space from a young age. I remember having a conversation with my mother while we watched the moon landing and realized this was not science fiction, this was reality. I witnessed a human being taking the first step on the moon and that is a moment I will never forget. That moment encouraged me to become an engineer.

After graduating from Engineering school, my career led me to work on a High-Performance Computing (HPC) project with Caltech, which manages the Jet Propulsion Laboratory (JPL) for NASA. As a boy who watched the moon landing, I was honored to be working with some of the most brilliant minds on the planet supporting the unmanned space program. In 1998 together with my partner, Dr. Carl Kukkonen (Director of the Center for Space Microelectronics Technology at JPL), with the support of Caltech and Dr. David Baltimore (Caltech President) we launched an entity to commercialize technologies used in space for industries on Earth. We created many companies, but the most recent one and the one I’m most proud of is Beyond Limits, which is focused on industrial artificial intelligence.


Beyond Limits launched as a startup in 2014, as a spinoff from the Jet Propulsion Laboratory (JPL) & Caltech. Could you clarify the current relationship between these three entities?

The California Institute of Technology (Caltech) is a research university in Southern California. In 1936 Caltech faculty formed the Guggenheim Aeronautical Lab, known today as the Jet Propulsion Laboratory (JPL), to carry out the first rocket experiments. Today, JPL is a federally funded research center and NASA field center that is managed by Caltech to carry out robotic space missions. Beyond Limits was created to commercialize technologies originated from Caltech NASA/Jet Propulsion Laboratory leveraging significant R&D investment from NASA and the DoD to solve complex problems here on Earth.

Our heritage comes directly from JPL and Caltech – in both our leadership team and our technology. Beyond Limits came from organizations tasked with solving unsolvable problems, and we still hold that mission today.

On the product side, we enhance software originally developed for NASA and JPL, building on their capabilities to expand their applications in new industries in addition to our in-house development and R&D efforts. Today, we currently have more than 200 Intellectual Property building blocks, and we continue to partner with Caltech on new projects.


You’ve stated before that space is a harsh and dynamic environment, and that the technologies that are developed to endure these extremes are perfect for energy companies. What are some of the applications derived from space that are currently being used by Energy companies?

The energy sector faces similar challenges to the space program. For instance, both operate in harsh environments where safety is important, whether that environment is in deep space or the Earth’s subsurface. In these situations, data can be missing or misleading, which can create problems for machine learning programs and even human operators. That’s why Beyond Limits leverages cognitive technologies used in unmanned space missions. Our Cognitive AI uses human-like reasoning and knowledge provided by domain experts, not just data, to understand situations, solve problems and recommend actions.

Incorporating that expert, human knowledge into the AI’s decision-making process is extremely valuable for energy companies. EY reported that the Society of Petroleum Engineers found that nearly 54% of its members are over 55 years old. As these seasoned experts with decades of experience retire, the energy industry will be left with a knowledge gap. Cognitive technologies help close this gap by encoding domain expert knowledge into the system and democratizing that knowledge. At Beyond Limits, we’re applying this technology across the energy value chain, from exploration and commodity transportation to refining and product formulation.

Our NASA technology heritage has also propelled us to incorporate explainable AI into all of our solutions. In high-value, high-risk sectors such as energy, it’s important that AI technologies not only provide actionable intelligence, but also explain how decisions were made with transparent, understandable audit trails.


Beyond Limits uses Cognitive AI, which is layered overtop traditional deep learning, can you explain what Cognitive AI precisely is?

Cognitive AI is a hybrid of conventional numeric AI, which includes machine learning and neural networks, and advanced symbolic AI, which allows the system to analyze, reason, hypothesize, correlate, plan, learn and teach. By combining the two approaches, the solution is able to bring situational awareness with human-like reasoning to diagnosing issues, prognosticating problems and suggesting remedies.

The key to Cognitive AI is to build an initial set of models and propose hypothetical extensions. Beyond Limits Cognitive AI systems have the unique capability to look for guidance from encoded human expert knowledge combined with historical and external data. That allows us to model hypothetical paths to predict the likely outcomes, and propose courses of action to make smart decisions, even under less-than-ideal data conditions.


Do you believe that the combination of the above deep learning with cognitive AI will eventually lead us to Artificial General Intelligence (AGI)?

Cognitive AI is the next step in artificial intelligence development, and it will act as a foundational stepping stone in reaching AGI. In a recent study from the University of Oxford, 50% of AI researchers surveyed said AGI would likely be a reality by 2040 – but I believe recent progress means we may see it come to fruition even sooner than that.

There are two foundational components of true AGI that I think about when considering when we might see it become a reality. The first is emotional intelligence, and although we’re not there yet, cognitive AI and deep learning systems have grown much more sophisticated in applying the basic principles of emotional intelligence when presented with problems. The second and more difficult component is near-human level thinking, which will require new technologies like quantum computing that are still outside our grasp. But if we can achieve these, we are well on our way.


Beyond Limits is working on the world’s first cognitive power plant, could you elaborate on what this project is?

We’re really excited about this one. The power plant will be installed as part of a large-scale infrastructure program to drive core industrial capacity and power economic development in West Africa. It’s the first implementation of a Cognitive AI power plant built from the ground up that embeds intelligence and awareness into all of its operations. That provides operators with facility-scale insight, making the plant safer, maximizing its efficiency and productivity, and making it more environmentally friendly.

The efficiency of power generation from natural gas can be affected by environmental conditions such as temperature and humidity. Human operators can make adjustments to improve efficiency, but that relies on their individual experience and knowledge. We’ve developed an AI system for this plant that actually encodes expert-level human knowledge to make and validate recommendations to help operators manage production for peak efficiency, maintenance planning and longer-term lifespan. The AI system’s entire process for reasoning and recommendations can also be viewed via an audit trail, so human staff understand how it reached those decisions and can help train the system if it does ever make a mistake to improve its decision-making process in the future.


Is there anything else that you would like to share about Beyond Limits?   

I’m very proud of our team and Beyond Limits’ fast growth. We’re expanding globally as an industrial AI company and venturing into new verticals including renewables & low carbon initiatives, utilities and healthcare. I’m especially excited for our expansion into healthcare. I believe in using AI for good, which is why we partnered with renowned medical experts to build a Coronavirus Dynamic Predictive Model, which is available publicly at no cost for government policy makers and medical establishments. The dynamic AI model provides policy makers with actionable information and more accurate forecasting to make informed decisions concerning the supply and demand of crucial medical equipment. Innovation is key to our future and our children’s future. I’m proud to have Beyond Limits contribute to the next frontier by enhancing AI innovation.

Thank you for the great interview, it’a amazing how the moon landing has inspired so many great minds. Readers who wish to learn more should visit Beyond Limits.


19 May 2020
Glendale, CA


2019 Technology Innovation Leadership Award: Breakthrough Symbolic Artificial Intelligence for Business Process Automation


Beyond Limits Addresses the Complex Needs of High-value Industries by Delivering Advanced AI Solutions to Support Decision-making


Optimizing operations is important for most businesses, but in complex, engineering-focused production environments — like energy and power — it is imperative. Enabling machines to emulate human intelligence and intuition, Beyond Limits has demonstrated advanced technological innovation excellence with its Cognitive AI and earned Frost & Sullivan’s 2019 Technology Innovation Leadership Award. This award recognizes companies that have developed a product with innovative features and functionality that is gaining rapid acceptance in the market. The award recognizes the quality of the solution and the customer value enhancements it enables.


Frost & Sullivan believes that Beyond Limits’ Cognitive AI is the future of artificial intelligence; the technology utilizes a unique hybrid approach that combines the best of conventional machine learning and numeric AI, alongside advanced symbolic AI techniques, to deliver reasoning and recommendations that reflect human intelligence and intuition. The company’s cognitive reasoning engines are trained on data and educated by expert knowledge to solve complex problems and deliver actionable information—resulting in faster, better decisions that reduce risk, decrease waste, and increase efficiency.


This next generation of AI applications involves high-value assets that require a human-like understanding of complex domains, and that can adapt to uncertainty in both their knowledge and data. Beyond Limits considers the hybrid approach — combining numeric machine learning technologies and symbolic reasoners to accomplish cognitive intelligence — the stepping-stone to Artificial General Intelligence (AGI)/Super AI, which they have sights on achieving in the next decade.


Beyond Limits works with highly regulated, high-risk/high-value industries such as energy, finance, and healthcare, where machines are often making high-stakes decisions constantly. Managers often cannot take these decisions at face value, with no understanding of its reasoning. With Beyond Limits’ solutions practicing Explainable AI (XAI), humans are always in the loop.


More often than not, conventional AI techniques require clean data to formulate answers in a black box, with no clear explanation of the reasoning behind their recommendations. Beyond Limits’ cognitive agents deliver transparent audit trails, designed to be clearly understood by humans, thus building essential trust in the technology. On the symbolic side: human knowledge, expertise, and experience are codified so the Cognitive AI system can reason (even with missing or misleading data) to most effectively simulate human decision-makers.


Advancements in AI technology are being made each year, and the opportunity is substantial. Innovative technology companies and the industries they help run are driving new efficiency solutions, workflows, business models, and — in evolving use cases, like finance — consumer experiences. According to PwC’s “Sizing the Prize” Global Artificial Intelligence Study, the global AI marketplace could contribute up to $15.7 trillion to the global economy in 2030. Another perspective on the upside for AI is from ARK Invest, which projects that deep learning alone could create more economic value than the Internet. Since 2012, deep learning has created $1 trillion in market capitalization, and ARK believes it will add $30 trillion by 2037.


Beyond Limits is focused on developing strategic applications for high-value assets, in situations where even slightly improving process margins can yield millions of dollars in savings. The company’s Cognitive AI, optimization, and results-oriented solutions can be applied to a variety of industries. They can be customized for the highly complex needs of specific use cases, and they have made great strides in heavy production environments thus far. Surpassing simple predictive maintenance, Beyond Limits technology understands the entire system of production operations as a linked whole and enables continuous operations with greater efficiency.


10 April 2020
Glendale, CA


Frost & Sullivan’s Best Practices awards distinguish companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development.

Analysis of the North American symbolic artificial intelligence for business process automation (BAS) market has encouraged Frost & Sullivan to recognize Beyond Limits with the 2019 North American Technology Innovation Award in that category.



Recognition of this magnitude highlights the capabilities of Beyond Limits’ innovative Cognitive AI to successfully apply optimization and results-oriented solutions that are generally applicable to a variety of production environments; solutions that can be customized for the complex needs of various customers. In situations where slightly changing process margins can yield millions of dollars in savings, Beyond Limits is focused on developing strategic applications for industries with complex and high-value assets.

By surpassing simple predictive maintenance, Beyond Limits Cognitive AI provides tangible results and recommendations that are always explainable, illustrating an understanding of the entire system of production operations as a linked whole and enabling continuous operations with greater efficiency.

In a time where disruptive technology like AI is inevitable, expert human decision-makers are going to want differentiating solutions like Cognitive AI to keep them in the loop and provide them with the tools they need to tackle those higher-value skills only they can supply this ever-evolving world. This Frost & Sullivan award confirms that Beyond Limits is exactly the artificial intelligence company necessary to hit that target.