19 Jahre Prognoseforschung, untermauert durch eine neunjährige Praxiserfahrung mit einer Rendite von 235,19 % bei Investitionen.

SAN FRANCISCO, 3. November 2026 — Q-Ball Intelligence gibt heute seine Gründung als neues KI-natives Unternehmen im Bereich Predictive Intelligence bekannt und baut dabei auf fast zwei Jahrzehnten Forschung und praktischer Anwendungen auf, die bis ins Jahr 2007 zurückreichen.

Das Unternehmen entwickelt eine neue Generation künstlicher Intelligenz, die in der Lage ist, aufkommende Signale zu identifizieren, Muster zu erkennen und zukünftige Entwicklungen vorherzusehen, indem sie über die Analyse des Vergangenen hinausgeht und versteht, was als Nächstes wahrscheinlich geschehen wird.

Die Forschung hinter Q-Ball wurde bereits in der Praxis angewendet. Zwischen dem 17. Februar 2016 und dem 17. Februar 2025 erzielte ein mit Q-Ball-Methoden informiertes Anlageportfolio eine kumulierte Rendite von 235,19 %.

Zum Vergleich zeigt die Portfolioanalyse Renditen von 129,86% für den OMX Stockholm All-Share Gross Index (OMXSGI), der den breiteren schwedischen Aktienmarkt repräsentiert, und 106,55% für den OMX Stockholm 30 Index (OMXS30) im gleichen Zeitraum. Dies entspricht einer Überperformance von 105,33 bzw. 128,64 Prozentpunkten.

Die neunjährige Investitionsbilanz liefert ein konkretes Beispiel für die praktische Anwendung der unter der Leitung von Assistant Professor Peter Majanen entwickelten prädiktiven Forschung. Es handelt sich um eine tatsächliche Portfoliohistorie und nicht um einen simulierten Backtest.

Von der Informationsanalyse bis zur Antizipation von Veränderungen

Die meisten Analysesysteme sind darauf ausgelegt, Informationen zu verarbeiten, historische Trends zu identifizieren und bereits stattgefundene Entwicklungen zu erklären.

Q-Ball verfolgt ein anderes Ziel: Die Signale und sich ändernden Erwartungen zu erkennen, die Aufschluss darüber geben könnten, was als Nächstes kommt.

Die Vorhersagemethodik verknüpft Informationen, Erwartungen, sich abzeichnende Muster und Dynamiken mit potenziellen Katalysatoren und zukünftigen Ergebnissen. Ziel ist es, komplexe Informationen in strukturierte, messbare Prognosen zu übersetzen.

Die zugrundeliegende Forschung entstand im Jahr 2007 und wurde in fast zwei Jahrzehnten der Entwicklung und praktischen Anwendung weiterentwickelt. Q-Ball Intelligence stellt die nächste Stufe dar: Diese Grundlage in eine skalierbare Technologieplattform für internationale Märkte umzuwandeln.

Aufbau einer neuen Plattform für prädiktive Intelligenz

Q-Ball entwickelt eine KI-basierte Plattform, die relevante Signale identifizieren, neue Entwicklungen bewerten, strukturierte Prognosen erstellen und Vorhersagen mit tatsächlichen Ergebnissen vergleichen soll.

Der Ansatz des Unternehmens legt besonderen Wert darauf, Veränderungen in Erwartungen und Verhalten zu verstehen, anstatt sich ausschließlich auf historische Daten und herkömmliche Trendanalysen zu stützen.

Durch die Kombination von prädiktiver Methodik mit KI-gestützter Analyse zielt Q-Ball darauf ab, eine Technologie zu schaffen, die Organisationen und Einzelpersonen dabei hilft, Veränderungen vorherzusehen, Chancen zu bewerten und fundiertere Entscheidungen zu treffen.

Ein wichtiger Bestandteil der Entwicklungsphilosophie ist die Verantwortlichkeit: Vorhersagen sollten strukturiert, mit einem Zeitstempel versehen und anhand der tatsächlichen Ereignisse überprüft werden. Dies schafft die Grundlage für kontinuierliche Messung, Verbesserung und Lernen.

Anwendungen in verschiedenen Märkten

Q-Ball Intelligence entwickelt seine Technologie für institutionelle und kommerzielle Kunden mit zusätzlichen Anwendungsmöglichkeiten in den Bereichen Finanzmärkte, Sport und Glücksspiel.

Zu den ersten Schwerpunkten gehören:

Enterprise Predictive Intelligence unterstützt Organisationen dabei, Marktentwicklungen, sich ändernde Bedingungen, aufkommende Risiken und strategische Chancen vorherzusehen.

Finanzmärkte Entwicklung von Prognoseanalysen für Aktien- und Finanzmärkte, Identifizierung neuer Muster und Bewertung der Wahrscheinlichkeit potenzieller Marktentwicklungen.

Sport und Gaming Anwendung von Vorhersagemodellen auf Sportergebnisse, Wettbewerbsumgebungen und spielebezogene Märkte.

Das Unternehmen baut diese Anwendungen auf einer gemeinsamen prädiktiven Grundlage auf und erweitert so seine Kernkompetenzen im Bereich der künstlichen Intelligenz auf verschiedene Märkte und Kundensegmente.

Ein neues Kapitel für prädiktive Intelligenz

„Bei Vorhersagen geht es nicht darum, die Zukunft zu kennen. Es geht darum, die Gegenwart so gut zu verstehen, dass man erkennt, was die Zukunft zu werden beginnt”, sagt Peter Majanen, Gründer und Chief Predictive Intelligence Architect.

Q-Ball Intelligence hat sich zum Ziel gesetzt, Predictive Intelligence als eigenständige Kategorie innerhalb der sich entwickelnden KI-Landschaft zu etablieren und über Systeme hinauszugehen, die die Welt primär beschreiben, hin zu Technologien, die darauf ausgelegt sind, vorherzusehen, wie sie sich verändern könnte.

Mit Forschungsgrundlagen, die bis ins Jahr 2007 zurückreichen, tritt das Unternehmen nun in eine neue Phase ein, die sich auf Technologieentwicklung, Kommerzialisierung und internationale Expansion konzentriert.

Q-Ball Intelligence – Vorhersage dessen, was als Nächstes kommt.

Über Q-Ball Intelligence

Q-Ball Intelligence ist ein KI-basiertes Unternehmen im Bereich der prädiktiven Intelligenz, das Technologien entwickelt, um aufkommende Signale zu identifizieren, Muster zu erkennen und zukünftige Entwicklungen vorherzusehen.

Seine Grundlagen vereinen vorausschauende Forschung, firmeneigene Analysemethoden und seit 2007 entwickelte praktische Anwendungen. Das Unternehmen konzentriert sich darauf, diese Grundlage in eine skalierbare Plattform für prädiktive Intelligenz für institutionelle, kommerzielle und Verbraucheranwendungen umzuwandeln.

Website: www.qballintel.com

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

Offenlegung der historischen Wertentwicklung: Die Portfoliorendite von 235,19 % bezieht sich auf den Zeitraum vom 17. Februar 2016 bis zum 17. Februar 2025. Die Vergleichszahlen basieren auf Avanza-Daten für den OMX Stockholm All-Share Gross Index (OMXSGI) und den OMX Stockholm 30 Index (OMXS30) für den gleichen Zeitraum. Die bisherige Wertentwicklung lässt keine Rückschlüsse auf zukünftige Ergebnisse zu. Die historische Portfolio-Performance sollte nicht als Performance der neuen Q-Ball Intelligence-Plattform oder als Garantie für zukünftige Anlageergebnisse interpretiert werden.

19 ans de recherche prédictive, appuyés par neuf années d’investissements concrets affichant un rendement de 235,19 %

SAN FRANCISCO, 3 novembre 2026 — Q-Ball Intelligence annonce aujourd’hui son lancement sous la forme d’une nouvelle entreprise d’intelligence prédictive conçue nativement pour l’IA, soutenue par près de deux décennies de recherche et d’applications pratiques.

L’entreprise développe une nouvelle génération d’intelligence artificielle capable de détecter les signaux émergents, de repérer les tendances et d’anticiper les évolutions futures, en allant au-delà de l’analyse du passé pour comprendre ce qui est susceptible de se produire à l’avenir.

Les recherches à l’origine de Q-Ball ont déjà été mises en pratique. Entre le 17 février 2016 et le 17 février 2025, un portefeuille d’investissement basé sur les données de Q-Ball a généré un rendement cumulé de 235,19 %.

À titre de comparaison, l’analyse du portefeuille montre des rendements de 129,86 % pour l’indice OMX Stockholm All-Share Gross (OMXSGI), qui représente l’ensemble du marché d’actions suédois, et de 106,55 % pour l’indice OMX Stockholm 30 (OMXS30) sur la même période. Cela équivaut à une surperformance respective de 105,33 et 128,64 points de pourcentage.

L’historique des investissements sur neuf ans fournit un exemple concret de l’application pratique de la méthode de recherche prédictive mise au point sous la direction du professeur adjoint Peter Majanen. Il s’agit d’un historique réel du portefeuille d’investissement plutôt que d’une simulation rétrospective.

De l’analyse des informations à l’anticipation du changement

La plupart des systèmes analytiques sont conçus pour traiter les informations, repérer les tendances historiques et expliquer les événements passés.

Q-Ball poursuit un objectif différent : reconnaître les signaux et les attentes changeantes qui peuvent révéler les évolutions futures.

Sa méthode prédictive relie les informations, les attentes, les tendances émergentes et la dynamique aux catalyseurs potentiels et aux résultats futurs. L’objectif est de traduire des informations complexes en prévisions structurées et mesurables.

Entamées en 2007, les recherches sous-jacentes ont évolué sur près de deux décennies de développement et d’application pratique. Q-Ball Intelligence représente l’étape suivante : la transformation de cette base en une plateforme technologique évolutive destinée aux marchés internationaux.

La création d’une nouvelle plateforme d’intelligence prédictive

Q-Ball construit une plateforme intégrant nativement l’IA, pensée pour repérer les signaux pertinents, évaluer les évolutions émergentes, générer des prévisions structurées et les confronter aux résultats réels.

Plutôt que de se fier exclusivement aux données historiques et à une analyse conventionnelle des tendances, l’approche de l’entreprise met l’accent sur la compréhension de l’évolution des attentes et des comportements.

En associant méthode prédictive et analyse pilotée par l’IA, Q-Ball entend créer une technologie qui aide les entreprises et les particuliers à anticiper les changements, à évaluer les possibilités ouvertes et à prendre des décisions plus éclairées.

La responsabilité constitue un élément important de la philosophie de développement : les prévisions doivent être structurées, horodatées et évaluées par rapport aux événements réels. Cela crée ainsi une base pour la mesure, le perfectionnement et l’apprentissage continus.

Des applications sur plusieurs marchés

Mise au point pour les clients institutionnels et commerciaux, la technologie de Q-Ball Intelligence comporte des applications supplémentaires pour les marchés financiers, le sport et les jeux.

Les premiers domaines d’intérêt sont les suivants :

Intelligence prédictive d’entreprise : aider les entreprises à anticiper les évolutions du marché, les changements de situation, les risques émergents et les possibilités stratégiques.

Marchés financiers : développer une intelligence prédictive pour les marchés d’actions et les marchés financiers, repérer les tendances émergentes et évaluer la probabilité des évolutions potentielles du marché.

Sports et jeux : appliquer des modèles prédictifs aux résultats sportifs, aux environnements compétitifs et aux marchés liés aux jeux.

L’entreprise construit ces applications sur une base prédictive commune, étendant ainsi ses capacités fondamentales d’analyse à différents marchés et segments de clientèle.

Un nouveau chapitre pour l’intelligence prédictive

« La prédiction ne consiste pas à connaître l’avenir. Il s’agit de comprendre assez bien le présent pour pouvoir y reconnaître les prémices de l’avenir », explique Peter Majanen, fondateur de Q-Ball Intelligence et architecte en chef de l’intelligence prédictive.

Q-Ball Intelligence vise à établir l’intelligence prédictive comme une catégorie distincte au sein du paysage en constante évolution de l’IA, en dépassant les systèmes qui décrivent principalement le monde pour aller vers une technologie capable d’en anticiper les changements.

S’appuyant sur des bases de recherche qui remontent à 2007, l’entreprise entre désormais dans une nouvelle phase axée sur le développement technologique, la commercialisation et l’expansion internationale.

La prédiction de l’évolution à venir avec Q-Ball Intelligence.

À propos de Q-Ball Intelligence

Q-Ball Intelligence est une entreprise d’intelligence prédictive intégrant nativement l’IA, qui met au point une technologie pensée pour détecter les signaux émergents, repérer les tendances et anticiper les évolutions futures.

Elle se fonde sur une combinaison de recherche prédictive, de méthode analytique exclusive et d’applications pratiques développées depuis 2007. L’entreprise s’attache à transformer cette base en une plateforme d’intelligence prédictive évolutive pour les applications institutionnelles, commerciales et destinées au grand public.

Site internet : www.qballintel.com

Relations avec la presse :
Richard Sjoberg
Q-Ball Intelligence
press@qballintel.com
www.qballintel.com

Information sur les performances historiques : Le rendement du portefeuille de 235,19 % se rapporte à la période du 17 février 2016 au 17 février 2025. Les chiffres de référence sont basés sur les données d’Avanza relatives à la même période pour l’indice OMX Stockholm All-Share Gross (OMXSGI) et l’indice OMX Stockholm 30 (OMXS30). Les performances passées ne préjugent pas des résultats futurs. Les performances historiques du portefeuille ne doivent pas être interprétées comme des performances générées par la nouvelle plateforme Q-Ball Intelligence ni comme une garantie de résultats d’investissement futurs.

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

SAN FRANCISCO, Nov. 3, 2026 — 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.

BOSTON, Nov. 3, 2026 — Fort Point Capital, a Boston-based private equity firm, announced today that it has completed a recapitalization of Gulf Pride Paving, LLC (“Gulf Pride”, or the “Company”), in partnership with the Company’s CEO, Michael Jenner, and its founder, BJ Sellers. Headquartered in Gulfport, Mississippi, Gulf Pride is a leader in paving, civil construction, soil stabilization and concrete work in the Gulf Coast region. The Company provides a complete surface infrastructure solution for general contractors, property owners, commercial, government and industrial customers across Mississippi, Alabama and Louisiana.

“We are excited to partner with Michael Jenner and the Gulf Pride team to support their growth ambitions and continue providing excellent service to customers,” said Brooke Ablon, Partner at Fort Point Capital. “Gulf Pride’s ability to self-perform projects in-house, combined with its strong customer relationships, has made it a trusted partner across the Gulf Coast for building and maintaining critical infrastructure for its clients.”

“I am thrilled to partner with Fort Point as we continue to grow Gulf Pride,” said Michael Jenner. “Over the past several years we have expanded our team, our fleet and our geographic footprint, and this partnership will allow us to accelerate that momentum while continuing to deliver for our customers. Fort Point’s experience supporting service businesses makes them the right partner for our next stage of growth.”

“Gulf Pride provides essential infrastructure services and has built its reputation by going above and beyond for its customers. We are excited to invest behind the foundation that Mike and BJ have built and help the Company expand its capabilities and geographic reach across the Gulf Coast,” said David Gagliardi, Principal at Fort Point Capital.

Avante Capital Partners provided debt financing for the transaction. The Enginuity Group served as financial advisor and Nichols Wrigley provided legal counsel to Gulf Pride.

About Gulf Pride Paving:

Serving the Gulf Coast since 2003, Gulf Pride Paving is a leader in paving, civil construction, soil stabilization and concrete services, offering customers a complete surface infrastructure solution. The Company self-performs entire projects — from civil work and soil stabilization through paving and concrete finishing — enabling full control of quality and execution. Gulf Pride serves a repeat base of general contractors, property owners, commercial, government, and industrial customers across Mississippi, Alabama and Louisiana, with a reputation built on strong relationships, responsiveness and high-quality, timely work. To learn more, please visit www.gulf-pride.com/. 

About Fort Point Capital:

Fort Point Capital brings a management-led, growth-oriented approach to private equity investing, targeting fragmented sectors of the business services industry. Founded in Boston in 2011, Fort Point partners with founders and management teams to accelerate growth by providing resources to expand teams and infrastructure, improve service offerings, access new markets, and support follow-on acquisitions. Fort Point fulfills its commitment to management, employees and shareholders by employing a repeatable process to drive durable value, showcased in over 60 acquisitions since its inception. Fort Point is currently investing from FPC Small Cap Fund III. To learn more, please visit fortpointcapital.com.

SOURCE Fort Point Capital

Recognized in its first year out of stealth for rethinking endpoint DLP with AI that runs on the device

NEW YORK, Nov. 3, 2026 — Bold Security, the real-time DLP for the modern endpoint, today announced it has been named to the 2027 Fortune Cyber 60, the annual list of the most important venture-backed cybersecurity startups that have not had an IPO, acquisition, or other significant exit event. Bold was named in its first year on the list, in the early stage category.

Over the last decade, data loss prevention (DLP) has earned a reputation for noise and false confidence. Legacy DLP matches patterns, so it catches PII and PCI but misses source code, financial models, and board documents. The patterns it does match fire on legitimate work too, so teams get flooded with alerts and turn blocking off. The prevention tool becomes a detection tool.

AI is now moving work back onto the device, into desktop assistants and AI agents that run locally, outside the paths legacy DLP was built to watch. Bold rebuilt endpoint DLP around AI that runs on the device itself. Small language models on every device classify data by meaning rather than pattern, read the context around each action, and block or coach in the moment it happens. There is no cloud round trip, no regex rules to write, and no coverage gap when a device goes offline.

“For years, the industry treated the endpoint as the old perimeter and DLP as a necessary evil, but AI broke both of those assumptions,” said Nati Hazut, Co-Founder and CEO of Bold Security. “People and AI agents move sensitive data through the device faster than a security team can follow, and DLP both overburdens and underdelivers. With Bold, we bet on the endpoint as both the new risk surface and the right place to solve it. Being named to the Fortune Cyber 60 validates the problem and our approach.”

Bold was founded in 2024 and emerged from stealth in early 2025 with $40 million raised from Bessemer Venture Partners, Picture Capital, and Red Dot Capital Partners. The company also serves dozens of high-growth customers, including Tekion, HiBob, Cresta, and Shutterfly. Bold’s founders previously built two cybersecurity companies, Polyrize and SAM Seamless Network, acquired by Varonis and Qualcomm.

“Every security team knows DLP is a problem, but very few companies have been willing to rethink how it works,” said Amit Karp, Partner at Bessemer Venture Partners. “Bold has built something genuinely different, using AI on the endpoint to understand sensitive data and prevent leaks without getting in the way of employees. That’s why we backed the team.”

The Fortune Cyber 60™ list, developed in partnership with Lightspeed Venture Partners and AWS, recognizes 60 of the most important venture-backed cybersecurity startups that have not yet undergone an IPO, acquisition, or other significant exit. Lightspeed evaluates hundreds of venture-backed cybersecurity companies on annual recurring revenue, year-over-year growth, and validated operating data, then groups the list into three stages of 20. The full list is available here.

About Bold Security

Bold is real-time DLP for the modern endpoint. Bold runs AI directly on the device to classify data by meaning, analyze intent, and prevent data from leaving in the moment. Learn more at bold.security.

Media Contact
Ignacio Ramirez
[email protected]
+1 415.517.6708

Founder and former CEO of SIMON and iCapital executive will advise Moment’s leadership as Moment brings AI to wealth management firms

NEW YORK, Nov. 3, 2026 — Moment, the AI partner for investment management, announces today that Jason Broder, founder and former CEO of SIMON, has become a strategic advisor to the company’s leadership.

Broder founded SIMON in 2012 while at Goldman Sachs, where it became the first technology platform to deliver structured investments to the desktops of financial advisors. In 2018, he led SIMON’s spin-off into an independent company backed by a consortium of banks. By 2021, the platform was used by more than 100,000 financial professionals across the country. Broder served as SIMON’s CEO until its acquisition by iCapital in 2022, subsequently serving as iCapital’s Chief Product Officer. Earlier in his career, he spent 17 years at Goldman Sachs, ultimately becoming a Managing Director and Head of the Private Investor Product Group.

“Moment is at the frontier in wealth management. They combine next-generation infrastructure with AI that drives real growth and ROI for their clients,” said Broder. “I’ve never seen a firm who delivers this quickly with such flawless execution — their clients love it.”

“Jason is one of the few people in wealth management that understands what it takes to change the industry,” said Dylan Parker, co-founder and CEO of Moment. “I’ve admired his work for years, and we couldn’t be more excited to have him with us.”

About Moment
Moment is the AI partner for investment management. Moment builds a single platform for investment management, with AI agents that work alongside advisors and operations teams. Moment works with institutions that together oversee more than $10 trillion in assets and more than 60,000 financial advisors. Moment is headquartered in New York and backed by Andreessen Horowitz and Index Ventures. Learn more at moment.com.

[email protected]

SOURCE Moment Technology, Inc.

Charlotte Native and Growth Investor to Help Lead the Firm’s Technology and Business Services Investing

CHARLOTTE, N.C., Nov. 3, 2026 — Falfurrias Management Partners (“Falfurrias”) today announced that Greg Stewart has joined the firm as a Partner. Stewart will help lead the firm’s investments in technology and business services. He brings more than 15 years of investing and investment banking experience.

Stewart joins Falfurrias from Great Hill Partners, a Boston-based growth equity firm, where he invested in software and technology companies across North America and Europe. He served as a board director, officer or observer of numerous companies, including Vision Government Solutions, Varicent, BigChange, EnterpriseDB, and ZoomInfo.

“When we add to our team, we look for character as much as investment acumen, and Greg brings both,” said Ed McMahan, Managing Partner of Falfurrias. “Business services has been central to our Industry First strategy since our founding. Greg pairs a technology lens on services businesses with deep experience investing in software, and his leadership will strengthen our ability to identify and build market-leading companies across services and technology.”

“Greg’s experience investing in high-growth companies complements our team and our approach,” said Cam Dyer, Partner and Chair of the Falfurrias Growth Partners Investment Committee. “His strong network, deal sourcing expertise, and sector depth stand out, and he shares our commitment to working alongside management teams to set the strategic compass for their businesses.”

“Falfurrias combines a thematic investment philosophy with deep operating resources and a long-term view, creating a differentiated partnership with founders and executive teams,” said Stewart. “I’ve also been impressed by the culture the team has built, one grounded in the core values the firm has lived by since its inception. I look forward to helping build durable, market-leading companies alongside Ed, Cam, and everyone at Falfurrias.”

About Falfurrias Management Partners
Falfurrias Management Partners is a Charlotte-based private equity firm founded in 2006 by Hugh McColl Jr., former chairman and CEO of Bank of America; Marc Oken, former CFO of Bank of America; and Managing Partner Ed McMahan. The firm has raised approximately $4.0 billion across eight funds and invests in growing, middle-market businesses in sectors where the firm’s operational resources, relationships, and sector expertise can complement portfolio company executive teams in support of long-term growth objectives. Falfurrias leverages a differentiated Industry First approach, partnering with proven management teams and experienced advisors to build durable companies. For more information, visit www.falfurrias.com.

SOURCE Falfurrias Management Partners

Real estate investors’ bookkeeping platform joins a curated group of high-potential Florida companies in front of South Florida’s investor and entrepreneurial community

MIAMI, Nov. 3, 2026 — RealBooks.io, the bookkeeping and financial management platform built for real estate investors, will present at GatorPitch Miami 2026, UF Innovate’s premier startup pitch competition. The event takes place Thursday, November 5, 2026, from 5:30 to 8:30 PM at the Citigroup Center, 201 S Biscayne Blvd, Miami.

Kelsey Knight, Co-Founder and Chief Revenue Officer of RealBooks, will present the company on stage, delivering its pitch before the investor panel.

GatorPitch is a fast-pitch competition. Each company gets a four-minute pitch followed by three minutes of Q&A before an investor panel. The event showcases a curated group of high-potential companies to South Florida’s investor and entrepreneurial ecosystem.

Hosted by UF Innovate at the University of Florida, GatorPitch expanded its reach in 2026. Previously open to UF-affiliated startups only, the 2026 competition welcomed Florida-affiliated startups from across the state.

“Real estate investors don’t fail at the deal. They get buried in the complexity of accounting and processes that follow it, and tax season becomes a scramble it never needed to be,” said Aaron Weikle, Co-Founder & CTO of RealBooks. “Presenting to South Florida’s investor community is a chance to show what happens when the numbers finally stay organized all year. That’s the problem we’re here to solve.”

RealBooks solves a problem most investors know well. Expenses live in too many places, project costs blur together, and tax season turns into a scramble. RealBooks ties every expense to the right property, tracks projects in real time, and keeps financial data clean year-round, so investors can stop managing spreadsheets and start managing their portfolio.

About RealBooks
RealBooks.io is the bookkeeping and financial management platform built for people who own rental properties. It brings expenses, projects, and reporting into one place, so investors, landlords, and flippers can stop managing spreadsheets and start managing their portfolio. Visit realbooks.io to learn more.

About UF Innovate

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Kalshi’s announced $40 billion valuation reinforces XOVR’s private-public crossover strategy and its mission to broaden access to private equity through an ETF

KEY HIGHLIGHTS

• XOVR invested $30 million in Kalshi at a $22.6 billion valuation; based on Kalshi’s announced $40 billion valuation, the investment is now valued at approximately $53.1 million.
• The investment represents an unrealized gain of approximately $23.1 million, or nearly 77%, before transaction costs and subject to the Fund’s customary valuation procedures.
• XOVR increasingly seeks to invest earlier in a company’s growth cycle so shareholders can participate in more of the value creation that may occur before a public listing.

NEW YORK, Nov. 3, 2026 — ERShares, adviser to the ERShares Private-Public Crossover ETF (NASDAQ: XOVR), today announced that its investment in Kalshi, the leading regulated prediction markets exchange, has appreciated substantially following Kalshi’s announcement of its latest financing round. The round values the company at approximately $40 billion – nearly double the $22.6 billion valuation at which XOVR invested $30 million.

Based on Kalshi’s announced $40 billion valuation, the investment is now valued at approximately $53.1 million, representing an unrealized gain of approximately $23.1 million, or nearly 77%, before transaction costs and subject to the Fund’s customary valuation procedures.

The milestone represents a significant private-company valuation increase associated with XOVR’s private investment strategy since the Fund became the first ETF* to provide private-company exposure through a private-public crossover structure on August 29, 2024.

The Kalshi investment also reflects an evolution in XOVR’s private-market strategy. Rather than concentrating primarily on companies approaching an initial public offering, the Fund increasingly seeks to invest earlier in a company’s growth cycle, allowing shareholders to participate in a greater portion of the wealth creation that has historically accrued to venture capital and private equity investors before companies become publicly traded.

“Kalshi reinforces our conviction that wealth creation often occurs while companies remain private,” said Eva Ados, Chief Operating Officer and Chief Investment Strategist at ERShares. “For decades, many substantial gains in many of the world’s most transformational companies accrued before they reached the public markets. XOVR was created to bridge that gap by giving retail investors access to carefully selected private companies alongside a portfolio of innovative public businesses.”

Dr. Joel Shulman, Founder and Chief Investment Officer of ERShares, added: “When we launched XOVR, our vision was to fundamentally change who could participate in private equity investing. Historically, many of the most attractive investment opportunities have been reserved for institutions and ultra-high-net-worth investors. We believed retail investors deserved access as well.” Shulman continued:

“The success of our investments in SpaceX and now Kalshi supports our belief in our strategy of identifying companies that we believe are exceptional earlier in their development. We believe the future of innovation investing is not simply participating in IPOs, but owning potentially extraordinary businesses years before they become household names. Our objective is to enable everyday investors to participate in the value creation that has historically taken place before companies enter the public markets.”

Since introducing private equity investments into XOVR in 2024, ERShares has continued to build a differentiated portfolio combining innovative public companies with select private businesses that management believes possess exceptional long-term growth potential.

The Fund’s investment process utilizes ERShares’ proprietary VC Lens® framework to identify companies exhibiting founder leadership, disruptive business models, durable competitive advantages, strong innovation cultures, and significant long-term wealth creation potential.

As companies continue to remain private longer and create an increasing share of shareholder value before an IPO, ERShares believes that providing retail investors with thoughtfully selected private market exposure represents one of the most important innovations in ETF investing.

About XOVR

The ERShares Private-Public Crossover ETF (NASDAQ: XOVR) combines innovative public companies with select private investments inside a single ETF. Managed by ERShares, the Fund seeks to identify businesses with exceptional long-term growth potential through its proprietary VC Lens® investment framework.

About ERShares

ERShares is an investment management firm specializing in identifying companies capable of generating long-term wealth creation through innovation, leadership, and durable competitive advantages. ERShares is the adviser to the ERShares Private-Public Crossover ETF (NASDAQ: XOVR).

Additional information: ERShares.com | XOVR ETF page

*Basis of “first” claim: ERShares review of U.S.-listed open‑end 1940 Act ETFs and public filings as of Aug 29, 2024; requires daily creations/redemptions and a single ETF portfolio with private‑company exposure reflected in daily NAV alongside public equities. Excludes interval funds, closed‑end funds, BDC/PE‑manager ETFs, SPACs, and products without private‑company exposure in NAV.

** Performance data quoted represents past performance and is no guarantee of future results. Investment return and principal value of an investment will fluctuate so that an investor’s shares, when redeemed, may be worth more or less than their original cost. Current performance may be lower or higher than the performance data quoted. For the most recent month-end performance, current holdings and other important information please call +1 (617) 279 0045 or visit our website https://entrepreneurshares.com/xovr-etf/

Short-term performance should not be the sole basis for evaluating an investment. Performance may be attributable to unusually favorable conditions that are likely not sustainable and may not continue to exist; this performance should not be expected to be repeated in the future.

NAV prices are used to calculate market price performance prior to the date when the Fund first traded on the Nasdaq Exchange. Market performance is determined using the bid/ask midpoint at 4:00pm Eastern time, when the NAV is typically calculated. Market performance does not represent the returns you would receive if you traded shares at other times.

The fund’s investment objectives, risks, charges and expenses must be considered carefully before investing. The prospectus contains this and other important information about the investment company, and it may be obtained by calling +1 (617) 279 0045 or by visiting our website www.ershares.com. Read it carefully before investing.

Fund Risks can include and are not limited to: Absence of Prior Active Market Risk, Management Risk, New ETF Provider, Common Stock Risk, Market Risk, Concentration Risk, American Depositary Receipts, Early Closing Risk, Exchange Trade Fund Risk, Private Equity Investment Risk, Illiquidity Risk, Valuation Risk, Exit Strategy Risk.

Distributed by Foreside Financial Services, LLC.

SOURCE ERShares