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Q-Ball Intelligence launches to bring Predictive Intelligence into the AI era

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19 years of predictive research, backed by a nine-year real-world investment record returning 235.19%

SAN FRANCISCO, Nov. 2, 2026 /PRNewswire/ — Q-Ball Intelligence today announces its launch as a new AI-native Predictive Intelligence venture, building on nearly two decades of research and practical applications dating back to 2007.

The company is developing a new generation of artificial intelligence capable of identifying emerging signals, recognising patterns and anticipating future developments moving beyond analysing what has happened to understanding what is likely to happen next.

The research behind Q-Ball has already been applied in practice. Between 17 February 2016 and 17 February 2025, a Q-Ball-informed investment portfolio delivered a cumulative return of 235.19%.

For comparison, the portfolio analysis shows returns of 129.86% for OMX Stockholm All-Share Gross Index (OMXSGI), representing the broader Swedish equity market, and 106.55% for OMX Stockholm 30 Index (OMXS30) over the same period. This represents an outperformance of 105.33 and 128.64 percentage points respectively.

The nine-year investment record provides a tangible example of the practical application of predictive research developed under the leadership of Assistant Professor Peter Majanen. It represents an actual investment portfolio record rather than a simulated backtest.

From analysing information to anticipating change

Most analytical systems are designed to process information, identify historical trends and explain developments that have already taken place.

Q-Ball is pursuing a different objective: recognising the signals and changing expectations that may reveal what comes next.

Its predictive methodology connects information, expectations, emerging patterns and momentum with potential catalysts and future outcomes. The objective is to translate complex information into structured, measurable forecasts.

The underlying research originated in 2007 and has evolved through nearly two decades of development and practical application. Q-Ball Intelligence represents the next stage: transforming this foundation into a scalable technology platform designed for international markets.

Building a new Predictive Intelligence platform

Q-Ball is developing an AI-native platform designed to identify relevant signals, assess emerging developments, generate structured forecasts and measure predictions against actual outcomes.

The company’s approach places particular emphasis on understanding changes in expectations and behaviour, rather than relying exclusively on historical data and conventional trend analysis.

By combining predictive methodology with AI-driven analysis, Q-Ball aims to create technology that helps organisations and individuals anticipate change, assess opportunities and make better-informed decisions.

An important part of the development philosophy is accountability: predictions should be structured, time-stamped and evaluated against what actually happens. This creates a foundation for continuous measurement, refinement and learning.

Applications across multiple markets

Q-Ball Intelligence is developing its technology for institutional and commercial customers, with additional applications across financial markets, sports and gaming.

Initial areas of focus include:

Enterprise Predictive Intelligence helping organisations anticipate market developments, changing conditions, emerging risks and strategic opportunities.

Financial Markets developing predictive intelligence for equities and financial markets, identifying emerging patterns and assessing the probability of potential market developments.

Sports and Gaming applying predictive models to sporting outcomes, competitive environments and gaming-related markets.

The company is building these applications on a shared predictive foundation, extending its core intelligence capabilities across different markets and customer segments.

A new chapter for predictive intelligence

“Prediction is not about knowing the future. It is about understanding the present well enough to recognize what the future is beginning to become,” says Peter Majanen, Founder and Chief Predictive Intelligence Architect.

Q-Ball Intelligence aims to establish Predictive Intelligence as a distinct category within the evolving AI landscape moving beyond systems that primarily describe the world towards technology designed to anticipate how it may change.

With research foundations dating back to 2007, the company now enters a new phase focused on technology development, commercialisation and international expansion.

Q-Ball Intelligence Predicting What Comes Next.

About Q-Ball Intelligence

Q-Ball Intelligence is an AI-native Predictive Intelligence venture developing technology designed to identify emerging signals, recognise patterns and anticipate future developments.

Its foundations combine predictive research, proprietary analytical methodology and practical applications developed since 2007. The company is focused on transforming this foundation into a scalable predictive intelligence platform for institutional, commercial and consumer applications.

Website: www.qballintel.com

Press contact:
Richard Sjoberg
Q-Ball Intelligence
press@qballintel.com
www.qballintel.com

Historical performance disclosure: The portfolio return of 235.19% relates to the period 17 February 2016 to 17 February 2025. Benchmark figures are based on Avanza data for OMX Stockholm All-Share Gross Index (OMXSGI) and OMX Stockholm 30 Index (OMXS30) over the same period. Historical performance is not indicative of future results. The historical portfolio performance should not be interpreted as performance generated by the new Q-Ball Intelligence platform or as a guarantee of future investment outcomes.

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SOURCE Q-Ball Intelligence

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ATTOM ENHANCES RENTAL AVM WITH AI-POWERED MODEL COVERING NEARLY 100 MILLION U.S. HOMES

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Enhanced model expands coverage by about 40% and delivers a 5.9% median error on homes not yet listed for rent

IRVINE, Calif., Nov. 3, 2026 /PRNewswire/ — ATTOM, the leading provider of property data, AI-powered intelligence, and real estate analytics solutions, today announced enhancements to its Rental AVM, introducing an AI-powered model that estimates current monthly market rent for nearly 100 million U.S. single-family homes, condominiums, and townhouses, an increase in coverage of about 40%. The model delivers a 5.9% median absolute error on homes before they are listed for rent, helping businesses evaluate rental potential and make more informed decisions.

“Estimating rental values is difficult because leases are private and many homes have no rental history,” said Rob Barber, CEO at ATTOM. “With these enhancements, we’re extending the same approach driving ATTOM Intelligence, combining trusted property data with advanced AI and analytics, to many more homes, so customers get more meaningful insights and can make better-informed decisions.”

Key Enhancements Include:

Expanded Coverage: Rental estimates for nearly 100 million single-family homes, condominiums, and townhouses across all 50 states and the District of Columbia, a coverage increase of about 40%.Improved Accuracy: A 5.9% median absolute error on homes before they’re listed for rent, with calibrated low and high values that tighten as the evidence behind an estimate grows.AI-Powered Modeling: Multiple machine-learning models evaluate property characteristics, property value, rental history, and recent rental activity, weighing each based on the available evidence for a property.Listing-Based Training: The model is trained and benchmarked on observed rental listings, cleaned to remove duplicates, placeholder rents, and unrealistic prices.

“Our enhanced Rental AVM evaluates multiple sources of rental information and adapts to the evidence available for each property,” said Aaron Wagner, Head of Data Science at ATTOM. “That adaptability is what allows us to estimate rent for homes with no rental history and extend coverage to nearly 100 million properties, while keeping the ranges calibrated to the strength of the evidence behind each estimate.”

Built for Real-World Applications
ATTOM’s enhanced Rental AVM supports a range of business needs, including:

Real Estate Investors and Rental Operators: Screen acquisitions, evaluate rental potential, compare rental income with property values, and support rent-setting decisions.Mortgage Lenders and Insurers: Assess rental income for investment-property and DSCR loans, monitor portfolio exposure, and support loss-of-rent analysis.Real Estate Portals and AI Developers: Integrate rental estimates into property listings, investment tools, and AI-powered applications through ATTOM’s MCP Server.

Updated monthly to reflect new rental activity and changing market conditions, the enhanced Rental AVM is available through ATTOM’s APIs, bulk data licensing, Snowflake, Databricks, and MCP Server.

To learn more about ATTOM’s enhanced Rental AVM, visit the Rental AVM landing page or download the Rental AVM White Paper.

About ATTOM
ATTOM delivers AI-driven property intelligence built on the nation’s most trusted property data repository, covering 160+ million U.S. properties—99% of the population. Our engineered, multi-sourced, semantically rich real estate data spans property tax, deeds, mortgages, foreclosure, environmental risk, property conditions, natural hazards, neighborhood insights, and geospatial boundaries, rigorously validated for advanced analytics. ATTOM supports analytics, AI applications, and AI agents through flexible delivery options including APIs, bulk licensing, cloud delivery, and the MCP Server for AI-powered, agentic access to engineered property data, enabling organizations to automate analysis, power intelligent workflows, and scale property intelligence across industries.

Media Contact:
Megan Hunt
megan.hunt@attomdata.com 

Data and Report Licensing:
949.502.8313
datareports@attomdata.com

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SOURCE ATTOM

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Staypineapple to Donate to American Humane Society’s Pups4Patriots™ in Honor of Veterans Day

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Hotel brand will donate a portion of November bookings to help veterans and retired first responders receive service dogs

KIRKLAND, Wash., Nov. 3, 2026 /PRNewswire/ — In recognition of Veterans Day, Staypineapple, the national boutique hotel brand, is supporting American Humane Society’s Pups4Patriots™ program. Throughout the month of November, Staypineapple will donate up to $5,000 on behalf of its guests from every Pineapple Pup Package booking and every booking made with military or government rates. The initiative supports the placement of specially trained service dogs with veterans and retired first responders living with post-traumatic stress (PTS) and/or traumatic brain injury (TBI), at no cost to recipients.

In recognition of Veterans Day, Staypineapple will donate a portion of November bookings to the Pups4Patriots program.

“Dogs have an incredible ability to bring comfort, connection and a renewed sense of purpose to our lives,” said Dina Belon, President of Staypineapple. “We’re proud to support American Humane Society’s Pups4Patriots program and help more of our nation’s heroes access the companionship and support of a service dog. We hope our guests will join us in making a difference through booking a stay this November.”

Pups4Patriots helps remove financial barriers to obtaining a specially trained service dog, matching eligible veterans and retired first responders with dogs trained to support their specific needs.

The impact of the program can be seen in the bond between Russell, a retired U.S. Army veteran and law enforcement officer, and his service dog, Nico. Through Pups4Patriots, Nico has become an important source of support in Russell’s life. As Russell shared, “Nico has brought me a renewed sense of living that I was very much struggling to find before meeting him.”

Through this initiative, Staypineapple hopes to help connect more of America’s heroes with life-changing canine companions to those who have served our country and communities.

To learn more or book a stay, visit Staypineapple.com.

About Staypineapple
Staypineapple is a brand of boutique hotels in urban markets across the U.S., managed by Staypineapple Hotels Inc., based in Kirkland, Wash. Known for personalized service and a warm welcome for people and pets alike, Staypineapple creates unique guest experiences that offer more than just a place to stay. It is a place Where Stays Become Stories. For reservations or more information, visit Staypineapple.com or call (866) 866-7977. Follow Staypineapple on Instagram, Threads, TikTok and Facebook.

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SOURCE Staypineapple

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Terakeet’s Mac Cummings Named to ADWEEK Innovator 50 List

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Recognition honors Cummings’ leadership in transforming Terakeet and building a new model for enterprise reputation management in the age of generative AI

SYRACUSE, N.Y., Nov. 3, 2026 /PRNewswire/ — ADWEEK today announced that Terakeet CEO & Co-Founder Mac Cummings has been named to the 2026 ADWEEK Innovator 50 list, which recognizes leaders driving innovation and shaping the future of marketing, media and technology.

Cummings was recognized for his leadership and vision in anticipating how generative AI would reshape enterprise reputation and positioning Terakeet to address the emerging challenges facing the Fortune 100 and its executives.

Over the past year, Cummings has led Terakeet’s transition from enterprise search marketing to global reputation management. The shift expanded the company’s focus beyond search visibility to the ways brands and executives are represented across search engines, generative AI platforms and the broader digital ecosystem.

“AI has changed what’s at stake for the Fortune 100,” said Cummings. “Reputation risk now moves across search and AI at the same time, and most brands don’t have the infrastructure to manage it. We built the Reputation Operating System to give them the technology, intelligence and expertise to understand those risks and strengthen their position before issues escalate.”

To better serve these customers, Cummings directed investments in proprietary technology, expanded the company’s expertise in cybersecurity and reputation risk, and established new strategic partnerships.

The recognition comes as Terakeet celebrates its 25th anniversary, marking a quarter century of evolution alongside major shifts in technology and the digital landscape. Cummings co-founded Terakeet in 2001 and has led the company through each stage of its growth, from its origins in search to its current focus on enterprise reputation management.

“The responsibility of a leader isn’t to protect the business model that worked yesterday but to recognize where the market is going and build for it,” Cummings said. “For Terakeet, that has meant looking past short-term fixes and building the infrastructure enterprises need to understand risk and protect trust in the AI era.”

About Mac Cummings

Mac Cummings is the CEO and Co-Founder of Terakeet. He co-founded the company in Syracuse, New York, in 2001 and has led its evolution across search marketing, digital strategy and enterprise reputation management. Today, Cummings oversees Terakeet’s business strategy and the continued development of its reputation management capabilities and technology.

About Terakeet

Terakeet is an enterprise reputation management company that helps brands and executives understand and manage how they are represented across search engines, generative AI platforms and the broader digital ecosystem. Founded in 2001, the company combines proprietary technology, intelligence and strategic expertise to support enterprise reputation programs.

View original content to download multimedia:https://www.prnewswire.com/news-releases/terakeets-mac-cummings-named-to-adweek-innovator-50-list-302928186.html

SOURCE Terakeet, LLC

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