-
'His feet are his pillars': Nepal para swimmer gives all for Asian glory
-
Migrants, rescue ships face threats, harassment at sea: aid group
-
New Zealand moves to ban social media for under-16s
-
UEFA's Ceferin tells Infantino to go, but 'not interested' in replacing him
-
Hyundai union back in wage talks after rare full-day strike
-
Oil falls as Trump pledges economic war on Iran
-
Shein grapples with EU backlash, but clients keep coming
-
Yamashita marches to nine-shot win in LPGA Canadian Women's Open
-
Key facts about Chinese-founded fast-fashion giant Shein
-
Gauff powers past Pegula to win US Open warm-up in Cincinnati
-
Shein to make market debut in Hong Kong in September
-
Japan's Olympic figure skating heroes to wed
-
Fils tops Tiafoe to claim first ATP Masters title in Cincinnati
-
Cummins eyes ODI return ahead of 'big' South Africa Test series
-
Gauff powers past Pegula to win Cincinnati WTA 1000 crown
-
Oleria and Happiest Minds Partner to Accelerate Modern Identity Governance for AI-First Enterprises
-
Sinopec Achieves Solid Operating Results in the First Half of 2026
-
India police used excessive force during protests: Amnesty
-
Ukraine backers gather as war escalates, air defence runs low
-
Rookie La Sasso wins LIV season-ender as tour's future in doubt
-
Syria says Israel talks addressed de-escalation, staying out of Israel-Turkey tensions
-
Fils tops Tiafoe to claim first ATP Masters title in Cincinnati bb/amz
-
Tourism boom pushes limits of Athens air traffic control
-
Clark fends off McIlroy to win BMW Championship
-
Liga holders Barcelona crush Elche, Atletico salvage Villarreal draw
-
Raphinha, Lopez hit braces as Barcelona trounce Elche
-
Spain's World Cup hero Torres saves PSG's blushes at Rennes
-
Macron hosts Saudi crown prince for visit ranging from esports to Mideast
-
Swiss forward Embolo joins Atlanta United
-
Jamieson gets Trump call after ending 14-year golf title drought
-
Former cricket captains appeal to Pakistan over Khan health care
-
Norwegian King Harald's health has 'deteriorated': palace
-
Latest 'Spider-Man' tops American box office for 4th weekend
-
Man City snatch late win in Maresca debut, Iraola's Liverpool rescue dramatic draw
-
Szoboszlai's last-gasp leveller rescues Liverpool in Newcastle draw
-
Trump takes starring role at Washington's IndyCar debut
-
Landfill collapse kills 30 in Guinea
-
Villa boss Emery says it's down to Watkins to explain absence
-
'Unbelievable' Cherki proves his point to Man City boss Maresca
-
Duplantis labours to 'super difficult' pole vault win at Silesia Diamond League
-
10-man Atletico snatch Villarreal draw as Alvarez returns
-
Max smash at zany Zandvoort: Three stories from the Dutch GP
-
Seville, Jefferson-Wooden roar to 100m wins at Silesia Diamond League
-
Brennan sprints to Vuelta stage two victory, Pogacar keeps red
-
VW chief warns carmaker's situation 'more than critical'
-
Duplantis conquers pole vault at Silesia Diamond League
-
England cricketer Carse under investigation after 'nightclub incident'
-
France's badminton gold winners set for obscurity back home
-
McLaren's Norris wins Dutch GP after Verstappen crash
-
Brighton start Premier League season with rout of 10-man Villa
Alset AI Congratulates Investee Company Henon on World-First Launch of Zero-Error RAG System for Financial Workflows
VANCOUVER, BRITISH COLUMBIA / ACCESS Newswire / January 22, 2026 / Alset AI Ventures Inc. (TSXV:GPUS)(OTC:GPUSF)(FSE:1R60, WKN:A40M0J) ("Alset AI" or the "Company"), an artificial intelligence ("AI") venture company advancing innovation through strategic investment and cloud computing solutions, is pleased to announce that its investee company, Henon Financial Technologies Inc. ("Henon"), has launched the world's first Zero-Error Retrieval-Augmented Generation ("RAG") system specifically designed for unstructured data in financial workflows1.
This achievement establishes a new benchmark for AI reliability in private equity and credit firms, where even minor inaccuracies in AI-generated outputs can result in substantial financial or operational consequences. While conventional RAG systems achieve accuracy rates of 75% to 92%,1 which is generally considered to be adequate for consumer applications but insufficient for institutional finance, Henon's zero-error system has been rigorously tested across structured reporting, valuation workflows, audit trails, and scenario modeling. The testing demonstrated consistent, explainable, and verifiably correct outputs for each query.
Henon's architecture combines a controlled retrieval layer with strict data governance protocols, eliminating ambiguity at the source and preventing hallucinations or approximations The result delivers grounded, auditable responses that are drawn exclusively from verified data.
The zero-error RAG engine is now fully integrated and available across Henon's monitoring, reporting, and modeling modules, supporting both historical and real-time portfolio data with built-in reasoning checks and complete source traceability.
Adam Ingrao, CEO of Alset AI Ventures Inc., commented: "We are incredibly proud to support Henon as they deliver the world's first zero-error RAG system purpose-built for institutional finance. This milestone not only validates our investment thesis but also highlights the impact of backing elite teams that do not compromise on reliability in high-stakes environments. Henon's innovation is an instrumental development in AI and underscores Alset's focus on investments that drive meaningful, mission-critical AI advancements."
This launch forms a core component of Henon's M1 architecture, an AI-native platform designed to remove friction across the financial data lifecycle, from ingestion to actionable insight, supporting CFOs, general partners, and operators in moving from data to decision with greater confidence and reduced reliance on tool fragmentation or manual verification.
About Henon Financial Technologies Inc.
Henon is an AI-native platform purpose-built for private equity and credit firms. It integrates data warehousing, monitoring, reporting, modeling, and valuation capabilities into a single secure system of action, dramatically reducing friction from data to decision. Henon serves a global client base from offices in Toronto, Chicago, and London. For more information, visit www.henon.ai.
About Alset AI Ventures Inc.
Alset AI is an AI-focused venture investment platform dedicated to sourcing, funding, and developing companies across the artificial intelligence value chain. The company seeks to provide investors with diversified exposure to emerging applications and infrastructure that enable advancements in AI technologies.
For further information about Alset AI Ventures Inc., please contact:
Investor Relations
Adam Ingrao
Chief Executive Officer
T: 236.312.6744
E: [email protected]
Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
Cautionary Note regarding Forward Looking Statements
This press release may contain certain forward-looking statements and forward-looking information (collectively, "forward-looking statements") regarding the Company, including, but not limited to, statements with respect to the impacts of the launch of Henon's RAG system to the Company's business; expectations regarding the reliability, accuracy, and operational performance of the RAG system, including its testing across structured reporting, valuation workflows, audit trails, scenario modeling, monitoring, reporting, and modeling modules; Henon's data governance protocols, and their ability to support explainable, consistent, and verifiable outputs; the integration of the RAG engine into Henon's M1 architecture and its anticipated impact on streamlining aspects of the financial data lifecycle; and the strategic direction and business plans of the Company, including its ability to provide investors with diversified exposure to emerging applications and infrastructure that enable advancements in AI technologies. Forward-looking statements normally contain words like "will", "intend", "anticipate", "could", "should", "may", "might", "expect", "estimate", "forecast", "plan", "potential", "project", "assume", "contemplate", "believe", "shall", "scheduled", and similar terms. These statements are only predictions. Various assumptions were used in drawing the conclusions or making the projections contained in the forward-looking statements throughout this press release. Forward-looking statements are not guarantees of future performance, actions, or developments and are based on expectations, assumptions, and other factors that management currently believes are relevant, reasonable, and appropriate in the circumstances. Although management believes that the forward-looking statements herein are reasonable, actual results could be substantially different due to the risks and uncertainties associated with and inherent to Alset AI's business. Additional material risks and uncertainties applicable to the forward-looking statements herein include, without limitation, the impact of general economic conditions, and unforeseen events and developments. This list is not exhaustive of the factors that may affect the Company's forward-looking statements. Many of these factors are beyond the control of Alset AI. All forward-looking statements included in this press release are expressly qualified in their entirety by these cautionary statements. The forward-looking statements contained in this press release are made as at the date hereof, and Alset AI undertakes no obligation to update publicly or to revise any of the included forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required by applicable securities laws. Risks and uncertainties about the Company's business are more fully discussed under the heading "Risks and Uncertainties" in its most recent Management's Discussion and Analysis and other disclosure documents available on SEDAR+ at www.sedarplus.ca.
References
1https://www.henon.ai/commentary/henon-launches-zero-error-rag-system-for-financial-workflows
SOURCE: Alset AI Ventures Inc.
View the original press release on ACCESS Newswire
E.Hall--AT