Orbital 2.0 by Applied Computing is built on a first-ever world model for energy that learns cause and effect across a whole plant, rather than patterns in data.Every customer gets their own world model that runs and evolves inside their own environment. Their data and models never leave.Energy operators running Orbital can see the plant-wide impact of every decision before they make it, so they can push production higher while keeping the plant reliable and safe.The launch follows Applied Computing’s $20 million Series A in July 2026, led by KBR with participation from Databricks Ventures.

ABU DHABI, UAE, Nov. 3, 2026 /PRNewswire/ — Applied Computing, the British AI company building AI for energy operators, today unveils Orbital 2.0 at ADIPEC 2026. Orbital 2.0 is rebuilt on a world model architecture, and puts the power to shape it directly in the hands of users.

A world model for energy

The first version of Orbital learned patterns in a plant’s data to carry out fixed tasks. The new Orbital by Applied Computing is built on a world model that learns cause and effect instead: how mass and heat move through every connected piece of equipment, and what that means for the plant’s output. Because it understands how the plant behaves, rather than memorising patterns, it is no longer tied to a single workflow or task, and it can adapt to whatever an engineer needs.

The world model is built on a knowledge graph of the plant’s physical interactions and improves itself over time. Every customer gets their own world model that runs and evolves inside their own environment. Their data and models never leave.

What’s new in Orbital by Applied Computing

Orbital is Applied Computing’s AI for running energy plants at their physical optimum, every day. It connects to a plant’s live and historical data, spots what is going wrong, explains why using the physics of the process, and recommends what to do next. It is already delivering results at some of the world’s largest energy and petrochemical assets, and through KBR INSITE® it is in use on ammonia and olefins units.

Orbital 2.0 by Applied Computing adds capabilities such as:

Dashboards built to order. Engineers can describe the dashboard they want, or pick one of Orbital’s suggestions, and Orbital builds it automatically from live plant data without manual intervention.Apps that run themselves. Recurring work, such as the 8am shift report or a heat and mass balance check, becomes an app that Orbital creates via a simple prompt.Recursive self-learning. Orbital learns from every interaction and from what engineers tell it directly, so it gets smarter the more it is used, and knowledge about the plant stays when people move on.

Together, these changes remove the need for Applied Computing’s researchers to tune and adapt the model inside each customer’s environment, reducing the cycle time for deployment from weeks to days and allowing Applied Computing to scale deployments concurrently. Moreover, users can rapidly customise and extend Orbital themselves.

Callum Adamson, CEO and co-founder of Applied Computing, said: “Our mission is to get every energy system running at its physical optimum, and the fastest way to do that is to put Orbital in engineers’ hands. Until now, adapting the model to each plant relied on our researchers. That barrier is gone: Orbital now learns for itself and can be fully customised by the engineers who use it every day. We are bringing it to ADIPEC because this is where the industry comes to decide what the next decade of energy looks like.”

Dr. Samyakh Tukra, Chief AI Officer and co-founder of Applied Computing, said: “The first version of Orbital learned the patterns in a plant’s data. What we have built now is a world model. It learns cause and effect, understands how a plant actually behaves, and gets better every day it runs. A plant is always evolving, and so is the work of the engineers who run it, so Orbital cannot stand still either.”

About Applied Computing:
Applied Computing builds AI for energy operations. Its product, Orbital, is built on a world model for energy that combines physics-grounded intelligence with models across chemical engineering, time-series forecasting and language. Orbital provides real-time optimisation that operators can trust in the most complex environments, from refineries and petrochemical facilities to LNG, wind and hydro. Founded in London by Callum Adamson (CEO) and Dr Sam Tukra (Chief AI Officer), Applied Computing is already working with some of the world’s most complex industrial sites. In July 2026, the company raised a $20 million Series A led by KBR, with participation from Databricks Ventures.

appliedcomputing.com 

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NEW YORK, Nov. 3, 2026 /PRNewswire/ — Market Updates News Commentary – Voters across the United States are casting ballots in today’s midterm elections, and contracts tied to which party will control the House and the Senate are changing hands on prediction market platforms while the polls are open. For the exchanges, brokers and data providers connected to those markets, the activity has also been showing up in third-quarter results reported over the past two weeks. Active Companies from around the markets with current developments this week include: Robinhood Markets, Inc. (NASDAQ: HOOD), Intercontinental Exchange, Inc. (NYSE: ICE), CME Group Inc. (NASDAQ: CME), Cboe Global Markets, Inc. (Cboe: CBOE), Sportradar Group AG (Nasdaq: SRAD).

As of 10:32 a.m. ET, Kalshi’s contract on whether Democrats will win the House in 2026 had last traded at $0.938, and its contract on whether Republicans will win the House at $0.063, according to Kalshi’s public market data. Kalshi’s Senate contracts had last traded at $0.77 for Democrats and $0.25 for Republicans. On Polymarket’s international platform at the same time, the contract on whether the Democratic Party will control the House after the 2026 midterm elections had last traded at $0.95, and the matching Republican contract at $0.06; its Senate control contracts had last traded at $0.77 for the Democratic Party and $0.24 for the Republican Party. These are prices set by traders on each platform, not forecasts by Market Updates, and no results had been reported as of that time.

The rules around these markets are still being written. In a proposed rule published in the Federal Register on June 12, the Commodity Futures Trading Commission said it preliminarily believes that its earlier Nadex Order and Kalshi Order were incorrect to find that event contracts involving political elections involve gaming; written comments were due by July 27. On October 27, the CFTC said it had filed a lawsuit against Utah to block the state’s efforts to shut down CFTC-registered contract markets using state laws, and that it has initiated legal proceedings against nine other states. “Congress entrusted the CFTC to be the federal regulator with sole responsibility to oversee these markets,” CFTC Chairman Michael S. Selig said.

For listed companies, the exposure takes different forms. Some run their own prediction market products, some hold stakes in platforms or joint ventures, and some sell the data and technology those venues use. Third-quarter filings released since October 21 put figures on several of those relationships.

Event-driven sessions can move share prices quickly. The free Knowledge is Power guide from Stock Preachers, available at market-updates.com/, shows how to read those moves on the chart before deciding what they mean.

In other industry developments and happenings in the market this week include:

Robinhood Markets, Inc. (NASDAQ: HOOD)

Robinhood reported on October 27 that event contracts revenue reached $173 million in the third quarter, up over 6x year over year, helping lift transaction-based revenues 19% to $867 million. Event Contracts Traded rose over 7x to a record 16.4 billion, counted through the company’s Prediction Markets Hub, where each contract can be traded at $0.01 increments up to $1 and is worth $1 upon settlement. Rothera, Robinhood’s joint venture with Susquehanna International Group, reached over $100 million in annualized revenues in its first full quarter of operation. Total net revenues rose 12% to $1.42 billion, while net income decreased 14% to $476 million.

“Our vision is to make everyone an owner, because broad ownership is essential to a free, stable, and prosperous society,” said Vlad Tenev, Chairman and CEO of Robinhood.

Intercontinental Exchange, Inc. (NYSE: ICE)

Intercontinental Exchange, whose exchanges include the New York Stock Exchange, reported on October 29 third-quarter net revenues of $2.8 billion, up 15%, and adjusted diluted EPS of $2.02, up 18%. In its quarterly report dated the same day, ICE said the total carrying value of its Series D and E preferred stock investments in Polymarket, which it describes as a prediction market and information platform tracking event probabilities across markets, politics, sport and culture, was approximately $2.0 billion as of September 30. Those holdings represented approximately 22% of Polymarket’s outstanding shares and 14% on a fully diluted basis, and ICE also completed a tender offer in April for approximately 0.4 million Polymarket common shares for $40 million.

“We’re pleased to report the best third quarter in ICE’s history, with revenues, operating income and earnings per share each growing by double digits,” said Jeff Sprecher, ICE Chair & Chief Executive Officer.

CME Group Inc. (NASDAQ: CME)

CME Group reported on October 21 third-quarter revenue of $1.7 billion and diluted earnings per share of $2.89, with average daily volume reaching a third-quarter record of 29.4 million contracts. On prediction markets, FanDuel and CME Group said in November 2025 that the FanDuel Predicts app would provide access, subject to appropriate regulatory filings, to sports event contracts, available to customers in states where online sports betting is not yet legal, with event contracts also planned on benchmarks such as the S&P 500 and Nasdaq-100, oil and gas prices, gold, cryptocurrencies, and economic indicators such as GDP and CPI. CME’s third-quarter results include amortization of purchased intangibles at FanDuel Prediction Markets Holdings LLC, reported in equity in net earnings of unconsolidated subsidiaries.

“As uncertainty intensified in Q3, clients turned to CME Group in record numbers to manage risk and capitalize on opportunities,” said Terry Duffy, CME Group Chairman and Chief Executive Officer.

Cboe Global Markets, Inc. (Cboe: CBOE)

Cboe Global Markets reported on October 30 third-quarter net revenue of $712.2 million, up 18 percent, and record diluted EPS of $4.08, up 43 percent, and raised its 2026 organic total net revenue growth target to “high teens” from “mid to high teens.” In the same release, Chief Executive Officer Craig Donohue said the company advanced its Cboe Predicts offering and its clearing capabilities during the quarter and recently received the SEC approvals needed to list and clear its company-KPI event contracts, in anticipation of a November launch.

“Our strong momentum continued in the third quarter as we took important steps to advance our growth strategy,” said Craig Donohue, Chief Executive Officer of Cboe Global Markets.

Sportradar Group AG (Nasdaq: SRAD)

Sportradar reported this morning that third-quarter revenue rose 24% to €363 million and that it entered new and expanded partnerships with leading prediction market exchanges, brokers and market makers. Betting Technology & Solutions revenues climbed 27% to €297 million, which the company attributed mainly to a 37% increase in Betting & Gaming Content tied to the IMG ARENA acquisition and to further uptake of its products and services by existing and new customers, prediction market participants among them. Revenue in the United States rose 47%.

“Our performance was driven by strong demand for our premium content portfolio, deep data and innovative technology solutions, including further monetization of the acquired IMG ARENA rights and significant contributions from across the prediction markets landscape,” said Carsten Koerl, Chief Executive Officer of Sportradar.

Results will come only after the polls close. For these five companies, event contracts were already part of the third-quarter story. Learn to read event-driven setups with the free Stock Preachers guide, plus The Roadmap market reports, at market-updates.com/.

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Media Contact: info@market-updates.com 

DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is not a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances.

This article is independent news commentary. Market Updates is wholly owned and operated by Market Equities Limited (“MEL”), a company incorporated under the laws of Ireland. MEL has not been paid by any company mentioned in this article. MEL and its owners, operators, directors, and affiliates do not currently own any shares of the companies mentioned in this article, but reserve the right to, and will, buy and sell shares of those companies at any time without further notice. Prediction market prices are last-traded prices read from Kalshi’s public market data and the public market data for Polymarket’s international platform at 10:32 a.m. ET on November 3, 2026; they are prices set by market participants, not forecasts by Market Updates or MEL, and no election results had been reported at that time. Company information is as reported in Robinhood’s October 27, 2026, CME Group’s October 21, 2026, Intercontinental Exchange’s October 29, 2026, Cboe Global Markets’ October 30, 2026 and Sportradar’s November 3, 2026 releases, Intercontinental Exchange’s Form 10-Q for the quarter ended September 30, 2026, and the FanDuel and CME Group release of November 12, 2025; regulatory information is from the CFTC’s October 27, 2026 release and its proposed rule published in the Federal Register on June 12, 2026. Information is drawn from company news releases and filings, government and industry data, published reporting and third-party data believed to be reliable, but its accuracy is not guaranteed. Investing in securities carries risk, including the loss of some or all of your investment. This document is governed by the laws of Ireland.

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SOURCE Market Updates

HYDERABAD, India, Nov. 3, 2026 /PRNewswire/ — Mordor Intelligence has published a report on the deepfake AI market, providing a comprehensive assessment of market dynamics, technology trends, competitive landscape, and future opportunities. According to the study, the deepfake AI market was valued at USD 1.66 billion in 2026 and is projected to reach USD 11.76 billion by 2031, registering a CAGR of 47.93% during the forecast period (2026–2031). The study highlights how advances in generative artificial intelligence, rising demand for synthetic media, increasing deepfake-enabled financial fraud, and growing investments in detection technologies are accelerating the adoption of deepfake AI solutions across media and entertainment, banking, government, defense, and other industries.

According to industry analysis, rapid advancements in generative adversarial networks, transformer models, and multimodal artificial intelligence continue to accelerate deepfake AI market growth. Organizations are increasingly adopting deepfake artificial intelligence technologies for synthetic media creation, digital content personalization, identity verification, fraud prevention, and media authentication. At the same time, growing regulatory scrutiny and the availability of cloud-based AI services are lowering technology barriers while encouraging enterprises to invest in detection, governance, and digital forensics capabilities.

Deepfake AI Market Trends Driving Synthetic Media and Digital Authentication

Generative AI Advancements Expand Deepfake Artificial Intelligence Applications

According to industry analysis, rapid advances in generative adversarial networks are improving the quality, resolution, and coherence of synthetic media. Cloud-based AI services are making sophisticated deepfake capabilities more accessible to organizations that previously lacked the computing infrastructure required for high-resolution generation. These developments are expanding applications across film, gaming, advertising, marketing, and other creative industries while simultaneously increasing demand for technologies capable of identifying increasingly realistic synthetic content.

Financial Fraud Concerns Accelerate Deepfake Detection Adoption

Market estimates indicate that rising deepfake-enabled financial fraud is encouraging banks and financial institutions to strengthen identity verification and authentication workflows. Multimodal detection technologies are gaining importance across customer onboarding, contact centers, mobile banking, and eKYC processes as organizations seek to identify manipulated voice, video, and image content. The growing use of deepfake artificial intelligence for both content generation and fraud prevention is creating opportunities for technology providers across financial services, government, and cybersecurity applications.

Cloud Deployment Expands Access to Deepfake AI Technology

Organizations are increasingly adopting cloud-based deepfake AI solutions because they provide scalable computing resources, managed infrastructure, and flexible deployment models. The growing availability of cloud-based APIs is also lowering entry barriers for mid-sized organizations and creative businesses seeking to integrate deepfake artificial intelligence into existing workflows.

Ashish Gautam, Senior Research Manager, Mordor Intelligence says, “Organizations and technology providers evaluating opportunities in the deepfake AI market need research that clearly separates the expanding applications of synthetic media from the growing requirements for detection, authentication, and responsible AI governance. Mordor Intelligence combines extensive primary research with rigorous secondary analysis to provide balanced, evidence-based insights that support informed business decisions across rapidly evolving artificial intelligence markets.”

Check out more details and stay updated with the latest industry trends, including the Japanese version for localized insights: https://www.mordorintelligence.com/ja/industry-reports/deepfake-ai-market?utm_source=prnewswire

Geographic Analysis of the Deepfake AI Market

North America continues to lead the deepfake AI market, supported by established artificial intelligence ecosystems, enterprise adoption across entertainment and financial services, government investment, and growing demand for digital authentication. Continued investment in cloud infrastructure, cybersecurity, and anti-fraud technologies is expected to support further market development. The United States remains a major market for both synthetic-media applications and deepfake detection solutions.

Asia Pacific is expected to experience strong growth in the deepfake artificial intelligence market, supported by government-backed AI investments, expanding digital infrastructure, increasing adoption of edge computing, and a growing ecosystem of deepfake technology providers. China, India, Japan, South Korea, and other technology-focused economies are creating opportunities for synthetic-media generation, detection, authentication, and responsible AI applications.

Table of Contents (Partial) – Deepfake AI Market

INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the StudyRESEARCH METHODOLOGYEXECUTIVE SUMMARYMARKET LANDSCAPE
4.1 Market Overview
4.2 Market Drivers
4.2.1 Rapid Advancements in Generative Adversarial Networks
4.2.2 Rising Demand for Personalized Synthetic Media in Marketing and Entertainment
4.2.3 Surge in Deepfake-Enabled Financial Fraud Driving Investment in Detection Solutions
4.2.4 Government Procurement of Deepfake Detection for Defense and Law-Enforcement Operations
4.2.5 Integration of Multimodal Deepfake Forensics into eKYC Pipelines
4.2.6 Availability of Large Open-Source Multimodal Deepfake Datasets
4.3 Market Restraints
4.3.1 Regulatory Uncertainty and Fragmented Legal Frameworks
4.3.2 High Computational Costs for Real-Time High-Resolution Deepfake Generation and Detection
4.3.3 Erosion of Consumer Trust Reducing Monetization of Synthetic Media Platforms
4.3.4 Shortage of Diverse Training Data Causing Detection BiasMARKET SIZE AND GROWTH FORECASTS (VALUE)
5.1 By Offering
5.1.1 Software
5.1.2 Services
5.2 By Technology
5.2.1 Generative Adversarial Networks
5.2.2 Transformer Models
5.2.3 Autoencoders
5.2.4 Other Technologies
5.3 By Application
5.3.1 Media and Entertainment
5.3.2 Banking, Financial Services and Insurance
5.3.3 Government and Defense
5.3.4 Healthcare and Life Sciences
5.3.5 Advertising and Marketing
5.4 By Deployment Mode
5.4.1 Cloud
5.4.2 On-Premises
5.5 By Geography
5.5.1 North America
5.5.2 South America
5.5.3 Europe
5.5.4 Asia Pacific
5.5.5 Middle East
5.5.6 AfricaCOMPETITIVE LANDSCAPE
6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles
6.4.1 Synthesia Limited
6.4.2 D-ID Ltd.
6.4.3 Sentinel Labs OU
6.4.4 Reality Defender Inc.
6.4.5 Reface AI Ltd.
6.4.6 Microsoft Corp.
6.4.7 Google LLC
6.4.8 Amazon Web Services Inc.
6.4.9 NVIDIA Corporation
6.4.10 and moreMARKET OPPORTUNITIES AND FUTURE OUTLOOK
7.1 White-Space and Unmet-Need Assessment

For details on other market segments and the full table of contents, visit:

https://www.mordorintelligence.com/industry-reports/deepfake-ai-market?utm_source=prnewswire

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About Mordor Intelligence

Mordor Intelligence is a global market intelligence firm, founded in 2014, helping businesses make informed decisions through data-driven insights, industry expertise, and advanced analytics. With 550+ domain experts and on-ground specialists across 180+ countries, the company delivers comprehensive intelligence across aerospace & defense, agriculture, automation, automotive, chemicals & materials, consumer goods & services, electronics, energy & power, financial services, food & beverages, healthcare, hospitality & tourism, information & communications technology, and logistics.

Its offerings include syndicated industry reports, custom research and advisory, and subscription platforms such as Synapse, Data Center Intelligence, and foldable smartphone Intelligence. Mordor Intelligence is ISO 9001:2015 and ISO/IEC 27001:2022 certified, a member of ESOMAR and the Market Research Society of India, and a four-time Great Place to Work® honoree. Learn more at mordorintelligence.com.

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SOURCE Mordor Intelligence Private Limited