What DeepMind's swarm experiment means for enterprise AI, shared knowledge and meaningful human oversight A recent study discussed by the DeepMind Institute contains a detail that every company deploying AI agents…
Why shared knowledge, specialized capabilities and accountable people matter to enterprise AI Much of the AI industry's attention goes to the next model: how it reasons, how quickly it responds and which benchmark it…
Why Geminos puts AI to work through human judgment—and why uncontrolled autonomy is a different proposition Updated September 23, 2026, following the UN Security Council briefing on AI. I do not trust large swarms of…
The recent announcement by Anthropic got me thinking more deeply about a topic I’ve been pondering for a while: the potential for large language models to connect discoveries across fields, and to find overlooked…
Geminos CEO Stuart Frost introduces ArchWay, the enterprise AI architecture behind PathWay for building governed, production-ready applications.
How Geminos ArchWay and PathWay turn AI projects into a compounding enterprise capability. Generative AI has dramatically reduced the cost of creating a convincing prototype. A small team can connect a powerful model to…
Why Geminos keeps people at the centre of AI-enabled decision-making It is hardly surprising that employees are nervous about AI. Much of the public conversation still presents it as a contest between people and…
Enterprise AI has reached an awkward stage. The tools are powerful, the possibilities are clear and the experimentation is widespread. Yet most organizations are still struggling to turn that into systems they can rely…
New family of purpose-built AI solutions lets enterprises see a working application built around their specific challenge before they commit to anything June 16, 2026, Orange County, CA – Geminos Software, an AI…
One of the biggest challenges facing the rail industry today is not a lack of data. Quite the opposite. Rail operators generate enormous volumes of operational information every day across signalling systems,…
There’s a tendency to treat ontologies and semantic layers as interchangeable. They are closely related, and in modern architectures they often sit on top of each other, but they serve different roles. Confusing the two…
There’s a quiet mistake playing out across enterprise AI right now. Too many organizations are trying to solve every problem with the same tool—usually an LLM, sometimes “agents” and occasionally whatever their vendor…
Geminos Strengthens U.S. Sales Leadership to Support Growing Demand for Enterprise AI Solutions Orange County, CA – May 5, 2026 – Stuart Frost, Founder and CEO for Geminos Software, today announced that Paul Snyder has…
There’s a growing narrative in AI circles that “vibe coding” is the future of software. The idea is appealing. You describe what you want in natural language, the system generates the application, and if it’s not quite…
There’s a growing narrative in AI circles that “vibe coding” is the future of software. The idea is appealing. You describe what you want in natural language, the system generates the application, and if it’s not quite…
Microsoft Copilot has very quickly become the default way enterprises interact with AI. It sits inside the tools people already use, understands natural language and creates the impression that you can simply “ask the…
A recent BBC Sport feature set out to answer a deceptively simple question: what will football look like in 10 years? The experts interviewed, including performance scientists, data analysts, club executives and…
Most organizations today recognize the potential of AI to improve decision-making. Many have experimented with large language models (LLMs) and chatbot-style interfaces in the hope of unlocking value from their internal…
Over the past three posts, we explored a pattern that many enterprise leaders recognize. AI pilots are widespread and experimentation is accelerating, yet measurable ROI remains inconsistent. Current approaches struggle…
Traditional AI vs. Causal AI: The Future of Business Decision-Making Artificial Intelligence (AI) has rapidly transformed industries like healthcare, finance and manufacturing. Traditional AI, particularly machine…
If current approaches to enterprise AI do not scale, the natural question becomes what does. As organizations push AI beyond isolated pilots, they quickly discover that document retrieval and similarity search are not…
In theory, enterprise AI should improve as it is exposed to more information. In practice, many organizations experience the opposite. As AI moves beyond small pilots and into broader deployment, performance becomes…
Over the past two years, enterprises have invested billions of dollars in artificial intelligence. Large language models are impressive, copilots are everywhere and pilot programs have launched across nearly every…
Over the past decade, software has undergone a quiet but profound shift. What began as hand written code evolved into systems trained from data. Today, we are entering a third phase, one that changes not just how…
Many organizations are experimenting with simple ways to use AI on top of their existing document repositories. A common approach is to connect a large language model directly to a SharePoint corpus using basic search…
For more than a decade, Palantir has been one of the few companies to demonstrate that large‑scale knowledge graphs and ontologies can deliver real value in complex, mission‑critical environments. In intelligence,…
Introduction Causal AI represents a paradigm shift in artificial intelligence, moving beyond traditional correlation-based machine learning to models that explicitly understand cause-and-effect relationships. Unlike…
Introduction Over the last couple of years, Geminos has gained great traction, helping large industrial customers make better decisions using Causal AI, which allows your software to reason based on cause-and-effect…
The Next Frontiers of AI In this episode of Scott Hebner's "the Next Frontiers of AI Podcast", Scott is joined by Stuart Frost, the CEO and founder of Geminos. They discuss the future of AI-powered business…
Traditional AI vs. Causal AI: The Future of Business Decision-Making Introduction Artificial Intelligence (AI) has rapidly transformed industries like healthcare, finance and manufacturing. Traditional AI, particularly…
Stuart Frost, CEO of Geminos, has been a driving force in AI and industrial digitization for over three decades. In a recent interview with Brainz Magazine, he shares his journey into Causal AI, the challenges of…
Applying Causal AI Across Industries with Geminos Causeway Causal AI is revolutionizing decision-making by enabling organizations to move beyond correlation-based analytics and uncover the true cause-and-effect…
Authors: Judith Hurwitz and Stuart Frost Causal Artificial Intelligence AI is increasingly recognized as the dominant technological trend of the next decade. Although AI has existed for decades, its evolution has…
Overview At the recent #SaaStr event, Zeus Kerravala (Principal Analyst at ZK Research) met with Stuart Frost, CEO and Founder of Geminos, inside the IBM Speakeasy Lounge at #SaaStr 2024.Geminos is trying to help…
Exporing the Future of AI In the past few weeks, Geminos had the privilege of attending two insightful AI conferences in the UK, with Steve Eyre representing us as a panelist fielding questions from the audience. The…
Industry Leaders Bring More Business Expertise to Leader in Causal AI July 26, 2024, Orange County, California – Geminos Software (www.geminos.ai), pioneers of “AI That Knows Why”, today announced three new members of…
From Black Boxes to Clear Insights: The Role of Causal AI and Geminos Causeway in Explainable AI Introduction In the evolving landscape of artificial intelligence (AI), the need for transparency and understandability in…
John Deere Announces Its 2024 Startup Collaborators Companies demonstrate John Deere commitment to customers' future needs. MOLINE, Illinois (January 24, 2024) — Deere & Company (NYSE: DE) announced the names of six…
Explore how Causal AI is transforming the Oil and Gas sector with Geminos. Discover applications that optimize efficiency, reduce downtime, and enhance strategic planning for improved profitability.
Discover how Causal AI is revolutionizing demand planning in the apparel and consumer goods industries with Geminos. Tackle complex supply chains with AI-driven precision and market responsiveness.
Event Overview The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events…
Get The First Chapter Free Complete the form to get the first chapter free In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a…
Marketing Campaign ROI with Causal AI Objective This discussion highlights how a beauty and lifestyle product company was able to dramatically improve their marketing campaigns through the use of the power of causal AI.…
Introduction The revolution of Artificial Intelligence (AI) is taking us into uncharted territories of innovation and problem-solving. One such frontier is the intersection of Causal AI with large language models (LLMs)…
Geminos was recently awarded "Most Innovative Business AI Solutions Developer 2023" in the "2023 Global Excellence Awards"
Farmington, MI – May 4, 2023 –The CEO Views has identified Geminos, a provider of causality-based AI solutions as one of the top 50 Innovative Companies to watch in 2023.Geminos Causeway is an end-to-end AI solutions…
AI World Congress 2023 We are fresh off an inspiring two days at the AI World Congress 2023, where we joined a diverse and informed group of AI industry experts, enthusiasts, and practitioners. Each session offered a…
Introduction The Centre will bring together world-leading expertise across multiple disciplines to advance the boundaries of causal data science, spanning research in theory and foundations, methods and computing and…
Understanding cause and effect relationships in Spotify data to inform decision-making is crucial for best serving Spotify’s users and the company. The generally-accepted gold standard solution to this problem is to…
'To build truly intelligent machines, teach them cause and effect.” Professor Judea Pearl, an Israeli- American computer scientist, and philosopher, best known for championing the probabilistic approach to artificial…
Introduction As the data-driven world continues to evolve, the quest for accurate and reliable insights becomes increasingly important. Data science teams have traditionally relied on correlation-based approaches to…
Overview The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run…
Causal AI in Predictive Maintenance Reducing unplanned equipment downtime is a top priority for manufacturing and heavy industries, especially given its high cost—estimated at $50 billion annually. Traditional…
At Linkedin, we constantly evaluate the value our products and services deliver, so that we can provide the best possible experiences for our members and customers. This includes understanding how product changes impact…
THE DRAMATIC SUCCESS In machine learning has led to an explosion of artificial intelligence (AI) applications and increasing expectations for autonomous systems that exhibit human-level intelligence. These expectations…
Using artificial intelligence to predict behavior can lead to devastating policy mistakes. Health and development programs must learn to apply causal models that better explain why people behave the way they do to help…
Interview Outline This interview, hosted by Judith Hurwitz, chief evangelist at Geminos, features a discussion with Paul Hünermund, co-founder of causalscience.org, and a leading expert in the field of causal inference…
Interview Outline In this discussion, Dr Paul Bleicher, a physician scientist, discusses his experience with observational research and the problems with confounders that can lead to false conclusions. He cites the…
Interview Outline In the following interview, Judith Hurwitz talks to Scott Cunningham, author of Causal Inference: the Mixtape and proprietor of The Mixtape Sessions. They speak extensively on the intersection of…
Interview Outline In the interview, Judith Hurwitz interviews Stuart Frost, founder and CEO of Geminos Software. Stuart describes how Geminos' approach to AI differs significantly from current norms. Rather than…
Most Promising Digital Transformation Solutions Provider 2022 Read the full article https://web.archive.org/web/20230606140451/https://www.geminos.ai/wp-content/uploads/2022/07/Geminos-Software_H.pdf
The 25 emerging technologies to watch on the Gartner Hype Cycle for Emerging Technologies in 2022 included Causal AI for the first time. Gartner recently annouced that Causal AI is a “must-know” emerging technology that…
Identifying causal effects is an integral part of scientific inquiry. It helps us understand everything from educational outcomes to the effects of social policies to risk factors for diseases. Questions of…
Understanding correlation won’t help you with decision making and initiatives measurement in a business setting. A solid grasp of causality is what you need. Whether you are a Data Scientist dealing with Decision…
Microsoft DoWhy – The Most Successful Open-Source Causal Library The DoWhy library was developed by Microsoft researchers in 2018 with the goal of helping data scientists better understand and deploy causal inference.…
In 2019, Google carried out a study of gender discrimination in their organization. Shockingly, they found that men were actually paid less than women and increased men’s pay as a result. The US Dept. of Labor looked at…
Understanding causation instead of mere correlation is one of the hot topics within the AI community. Prof Judea Pearl’s breakthrough work on causality won him the Turing Award in 2011 and two economists shared the…
Problem Definition Palm oil is widely consumed, making up 40% of global vegetable oil from just 10% of oil-producing land. It's primarily grown in equatorial regions like Indonesia and Malaysia, which are also home to…
Introduction In recent weeks, there’s been a huge amount of press on the ‘Metaverse’, mostly driven by Facebook’s rebranding to Meta and their related announcements. Despite the mocked-up videos featuring Mark…
Stuart Frost’s Team Strengthened with Addition of Technology Industry Thought Leader September 3, 2021, Laguna Niguel, California – Geminos Software (www.geminos.ai), pioneers of “Using AI to Build AI” in Laguna Niguel,…
At Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to that is understanding causal effects that connect changes we make in the…
AI That Knows Why Understanding causation instead of mere correlation is one of the hot topics within the AI community. However, very few people understand how to merge causality with traditional data science and most…
At Geminos, we believe that the ‘next big thing’ in AI is causality. This belief is backed up by a series of recent data points: Articles that literally say “causality is the next important thing in AI” –…
Patrick Doupe, Principal Economist at Zalando SE, shares his team's experience about what it takes to raise attention to causal inference in practice. In industry we have a lot of questions that cannot be answered with…
Stuart Frost Strengthens Artificial Intelligence (AI) Industry Expertise and Resources on Geminos Software Advisory Board December 11, 2020, Laguna Niguel, California – Geminos Software (www.geminos.ai), pioneers of…
There is often an assumption that technology is neutral, but the reality is far from it. Machine learning algorithms are created by people, who all have biases. They are never fully “objective”; rather they reflect the…
We’ve defined causal effects as an interventional distribution and posit two identification strategies to estimate them: the back-door and the front-door criteria. However, we cannot always use these criteria;…
This may sound familiar: you have been working on a new feature for weeks or months and excitedly release it to your users! Sadly, in the weeks following the release you notice a disturbing trend. A core metric that…
Artificial intelligence is good at predicting outcomes, but how do we go one step further? Here, Ericsson discusses how AI can use causal inference and machine learning to measure the effects of multiple variables – and…
We Need More Chandlers! OK, so Chandler wasn’t exactly a data scientist (and no Rachel, he wasn’t a “transponster”), but hopefully you get my point – we need a lot more people in data analytics if the new Industrial…
Software-Driven Approach uses Artificial Intelligence (AI) to more Rapidly Build Industrial AI Applications December 5, 2019, Laguna Niguel, California – Stuart Frost today announced the launch of Geminos Software…
