KUALA LUMPUR, Nov 11 (Bernama) -- Denodo, a data management company, has signed a multi-year strategic collaboration agreement with Amazon Web Services (AWS) to help companies build and scale agentic artificial intelligence (AI), meaning AI systems that can make decisions and take actions on their own, using real-time business data.
The agreement builds on the companies’ existing relationship and includes joint workshops, co-marketing, co-selling and commercial incentives, as well as solutions with systems integrators for uses such as fraud prevention in banking, claims processing in insurance and predictive maintenance in manufacturing, Denodo said in a statement.
“Together with AWS, we give joint customers a unified AI data layer so that agents can access live, governed data and active context across every enterprise source, without moving or replicating it.
“This expanded collaboration helps our customers move from pilot to production in days rather than months and scale with confidence,” said Denodo Chief Executive Officer, Ángel Viña in a statement.
Meanwhile, AWS Director of Americas Technology Partners, Allison Johnson said the collaboration helps customers extend the value of their AWS AI investments to all their data, wherever it is stored.
Denodo’s software allows AWS AI services to use company data held in on-premises systems, other cloud services and software as a service (SaaS) applications without first copying or moving it.
Denodo is available as a fully managed cloud service or for deployment in customers’ own AWS accounts and can be bought through AWS Marketplace.
-- BERNAMA
Wednesday, 11 November 2026
HORIZON QUANTUM Q3 PROFIT DRIVEN BY NON-CASH WARRANT GAIN
KUALA LUMPUR, Nov 11 (Bernama) -- Horizon Quantum Holdings Ltd (Horizon Quantum), a quantum computing software company, posted a net profit of US$33.4 million for the third quarter ended Sept 30, 2026 (Q3 2026), driven by a non-cash accounting gain, while its operating loss more than doubled. (US$1 = RM4.05)
The result included a US$43.1 million non-cash gain from revaluing warrant-related liabilities after the company’s share price fell during the quarter, which did not affect its cash balance. It recorded a net loss of US$5.2 million a year earlier.
Horizon Quantum Chief Executive Officer and Founder, Dr Joe Fitzsimons said the company completed the integration of its Triple Alpha software with Oxford Quantum Circuits’ 32-qubit processor during the quarter and had signed a non-binding letter of intent to acquire Singapore-based Entropica Labs Pte Ltd.
“We look forward to exploring this opportunity further,” he said in a statement.
In the quarter, Horizon Quantum’s earnings per share were US$0.61, compared with a loss of US$0.13 per share a year earlier.
The operating loss widened to US$10.5 million from US$4.9 million, as research and development expenses rose 122 per cent to US$4.5 million and general and administrative expenses rose 127 per cent to US$5.2 million, mainly because of higher headcount and the costs of becoming a public company.
Its adjusted earnings before interest, tax, depreciation and amortisation (EBITDA) loss widened to US$6.3 million from US$3.0 million, while cash and cash equivalents fell by US$10.5 million during the quarter to US$102.8 million.
The proposed Entropica Labs deal, valued at about US$27 million in Horizon Quantum shares, is subject to due diligence and definitive agreements. Entropica specialises in quantum error correction.
-- BERNAMA
Tuesday, 10 November 2026
Reality Partners with Merkl to Support rToken Dividend Distribution Across DeFi
VICTORIA, Seychelles, Nov 10 (Bernama-GLOBE NEWSWIRE) -- Reality, the tokenization platform bringing publicly listed equities onchain and part of the Bitget ecosystem, has partnered with Merkl to identify eligible rToken holders whose tokens are deployed across supported DeFi protocols. This will enable them to keep receiving dividends in stablecoin, even when their tokens are put to work in DeFi instead of sitting in a wallet.
rTokens provide tokenized exposure to publicly listed stocks and ETFs, including eligible economic benefits such as dividends. When these tokens are deposited into lending markets, liquidity pools or staking contracts, the smart contract may appear as the holder onchain instead of the individual user. This makes it more difficult to identify who should receive the associated dividend distributions.
Merkl’s reward forwarder technology addresses this by tracing token positions through supported smart contracts to identify the underlying holders and allocate distributions according to the applicable rules. The system can account for multiple layers of DeFi contracts and protocol-specific fees. Users and developers can check if individual contracts are supported through the Merkl Studio Forwarder Scan tool.
"The challenge with assets held in DeFi is knowing who sits behind each position," said Pablo Veyrat, CEO and Co-founder of Merkl. "Our forwarder technology traces ownership through nested smart contracts and tells Reality exactly who holds what, so dividends can reach the right people wherever their tokens are deployed."
"Tokenized equities should be useful beyond trading," said Gracy Chen, CEO of Bitget. "If someone puts their rTokens to work in DeFi, they should still be able to receive the dividends they’re eligible for. Working with Merkl helps us address that challenge and makes tokenized equities more practical for everyday use."
Under the partnership, Reality continues to manage rToken issuance and dividend entitlements, while Merkl provides the reward forwarding infrastructure for identifying eligible holders across supported DeFi positions. Reality’s rToken model distributes eligible cash dividends separately from the token’s price, with net cash dividends generally settled in USDT. Distribution through DeFi remains subject to the supported contracts and applicable distribution rules.
The partnership builds on the growing adoption of rTokens within Bitget’s UEX ecosystem. According to a DeFiLlama report, rToken trading volume reached $1.16 billion in cumulative volume between June and July, while the number of users trading both crypto and rTokens grew 23.54% month over month in July 2026, pointing to rising demand for tokenized equities as part of broader, cross-asset strategies. The integration with Merkl supports the next stage of development, helping extend the use of tokenized equities beyond exchange-based trading into DeFi.
About Reality
Reality is a regulated real-world asset issuance platform built for global markets, and is proudly part of the Bitget ecosystem. Working with licensed brokers across major exchanges, including Nasdaq and the NYSE, we purchase and hold the underlying assets in custody, then issue the corresponding rights on-chain. This connects traditional capital markets with on-chain infrastructure, opening institutional-grade access to real-world assets for users worldwide.
About Merkl
Merkl is the leading onchain money streaming platform. Stablecoin issuers, fintechs, neobanks and tokenized funds use Merkl to calculate and send yield, dividends and payouts. Merkl tracks ownership across lending markets, liquidity pools and other nested smart contracts, so every payment reaches the beneficial owner behind each position. Since launching in July 2023, Merkl has distributed over $1.8B in tokens across 60+ chains for more than 1,000 companies, including PayPal, Coinbase, Robinhood and Morpho.
For media inquiries, please contact: media@bitget.com
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/cc2e8771-09cc-41d7-b3c3-d46f4533278f
SOURCE: Bitget Limited
DISCLAIMER: BERNAMA MREM are not accountable for any causes of website defacement, misuse, or illegal activities connected to cryptocurrency, blockchain, tokenisation, or bitcoin. This material should not be considered as guidance or an opinion, as it does not constitute financial or investment advice. Use this information at your own risk; we are not liable for any losses or damages caused by the republication of this article.
--BERNAMA
YYFORCE HUMANOID ROBOT TRAINING FEATURED ON SINGAPORE TV
KUALA LUMPUR, Nov 10 (Bernama) -- YYForce Inc (YYForce) announced that its humanoid robotics training initiatives were recently featured in a dedicated television broadcast produced and aired by Mediacorp 8world’s technology and current affairs programme Meeting AI on Nov 6.
Hosted by veteran presenter Zhang Haijie, the television feature provided viewers with an in-depth, hands-on look at emerging humanoid robotics technologies and their practical commercial training workflows.
In the episode, presenter Zhang Haijie used a virtual reality headset and five motion sensors on his head, hands and feet to control a Unitree G1 humanoid robot in real time, with the system recording his movements to build training data for artificial intelligence (AI) models, the company said in a statement.
“Our vision is not about replacing people with robots. We are building toward an operating model where people, AI, humanoid robots and specialised service robots can work together, with each performing the functions where they can create the greatest value,” said YYForce Chief Executive Officer, Mike Fu.
The programme showed that teaching the robot to identify, pick up and move a cup on its own took 40 human demonstrations, followed by about eight hours of AI model training.
YYForce said it is training humanoid robots for tasks such as cleaning hotel rooms and restrooms and has set up robotics demonstration and training facilities in Singapore.
-- BERNAMA
Hosted by veteran presenter Zhang Haijie, the television feature provided viewers with an in-depth, hands-on look at emerging humanoid robotics technologies and their practical commercial training workflows.
In the episode, presenter Zhang Haijie used a virtual reality headset and five motion sensors on his head, hands and feet to control a Unitree G1 humanoid robot in real time, with the system recording his movements to build training data for artificial intelligence (AI) models, the company said in a statement.
“Our vision is not about replacing people with robots. We are building toward an operating model where people, AI, humanoid robots and specialised service robots can work together, with each performing the functions where they can create the greatest value,” said YYForce Chief Executive Officer, Mike Fu.
The programme showed that teaching the robot to identify, pick up and move a cup on its own took 40 human demonstrations, followed by about eight hours of AI model training.
YYForce said it is training humanoid robots for tasks such as cleaning hotel rooms and restrooms and has set up robotics demonstration and training facilities in Singapore.
-- BERNAMA
HOLOGEN, SYSMEX FORM AI VENTURE TO ANALYSE BLOOD TEST DATA
KUALA LUMPUR, Nov 10 (Bernama) -- Hologen, a frontier artificial intelligence (AI) company, and Sysmex Corporation, a Japanese haematology company, have formed Saibogen, a joint venture that will use generative AI to draw more information from routine blood tests.
Saibogen will apply Hologen’s Large Medicine Models, AI models that learn the biology behind real-world healthcare data, to data from Sysmex haematology analysers, which run about three billion blood count tests a year.
“Every routine blood count measures tens of thousands of cells with remarkable precision, and much of that information goes unused,” said Saibogen chief executive officer (CEO), Leila Luheshi.
The joint venture aims to give researchers and clinicians new insights without requiring new instruments, reagents or samples, according to a statement.
“Blood is one of the richest sources of biological information we have. Our Large Medicine Models are built to learn that biology from real-world data,” said Hologen CEO, Roland Tegeder.
Meanwhile, Sysmex president, Iwane Matsui said the venture would combine Sysmex’s haematology expertise and global business platform with Hologen’s AI technologies to unlock new value from routine blood testing data.
Saibogen’s products will be delivered as software exclusively through Sysmex’s haematology analysers, with its first offerings for research use only.
-- BERNAMA
Saibogen will apply Hologen’s Large Medicine Models, AI models that learn the biology behind real-world healthcare data, to data from Sysmex haematology analysers, which run about three billion blood count tests a year.
“Every routine blood count measures tens of thousands of cells with remarkable precision, and much of that information goes unused,” said Saibogen chief executive officer (CEO), Leila Luheshi.
The joint venture aims to give researchers and clinicians new insights without requiring new instruments, reagents or samples, according to a statement.
“Blood is one of the richest sources of biological information we have. Our Large Medicine Models are built to learn that biology from real-world data,” said Hologen CEO, Roland Tegeder.
Meanwhile, Sysmex president, Iwane Matsui said the venture would combine Sysmex’s haematology expertise and global business platform with Hologen’s AI technologies to unlock new value from routine blood testing data.
Saibogen’s products will be delivered as software exclusively through Sysmex’s haematology analysers, with its first offerings for research use only.
-- BERNAMA
Friday, 6 November 2026
Bitget Introduces Open Custody Network, Redefining the Relationship Between Custody and Trading
VICTORIA, Seychelles, Nov 6 (Bernama-GLOBE NEWSWIRE) -- Bitget, the world's largest Universal Exchange (UEX), has announced the launch of the Open Custody Network (OCN), a new network connecting banks and institutional-grade custodians with Bitget’s trading infrastructure for all eligible users.
The initiative addresses a longstanding structural characteristic of the cryptocurrency exchange industry: the concentration of asset custody and trading activities within a single platform. Under the traditional centralized exchange model, users typically transfer their assets to an exchange to access the trading capabilities, concentrating custody and execution within the same venue.
Bitget OCN aims to address this shift by uniting custody independence, banking and institutional-grade security, integrated exchange trading, capital efficiency, and connected liquidity. Through Bitget OCN, users can maintain custody of their assets with participating external providers while accessing trading opportunities on Bitget, without requiring the underlying assets to be held directly in exchange custody. It also aims to provide traders with a more integrated experience, lower barriers to entry for everyone, and more equitable access to financial services.
OCN connects independent custody with Bitget’s spot, margin, and futures markets through asset mirroring, allowing eligible users to trade while keeping assets with their selected provider. For market makers, asset managers, and other institutions, the solutions offer a practical way to manage custody concentration risk while putting externally held assets to work across trading strategies. The result is greater custody flexibility and the ability to deploy externally held assets across trading strategies.
"We challenge the assumption that users must place their assets in an exchange’s custody to access its trading capabilities," said Gracy Chen, CEO of Bitget. "Our proposition, ‘Assets in Bank, Tradings on Bitget.’, puts custody choice at the centre of that approach. For the first time, users can leverage world-class liquidity and capital efficiency with lower barriers and zero compromise on custody.”
For more information, visit here.
About Bitget
Bitget is the world's largest Universal Exchange (UEX), serving over 125 million users and offering access to over 2M crypto tokens, 500+ tokenized stocks, ETFs, commodities, FX, and precious metals such as gold. The ecosystem is committed to helping users trade smarter with its AI agent, which co-pilots trade execution. Bitget is driving crypto adoption through strategic partnerships such as MotoGP™. Bitget currently leads in the tokenized TradFi market, providing the industry's lowest fees and highest liquidity across 150 regions worldwide.
For more information, visit: Website | X | Telegram | LinkedIn | Discord
For media inquiries, please contact: media@bitget.com
Risk Warning: Digital asset prices are subject to fluctuation and may experience significant volatility. Investors are advised to only allocate funds they can afford to lose. The value of any investment may be impacted, and there is a possibility that financial objectives may not be met, nor the principal investment recovered. Independent financial advice should always be sought, and personal financial experience and standing carefully considered. Past performance is not a reliable indicator of future results. Bitget accepts no liability for any potential losses incurred. Nothing contained herein should be construed as financial advice. For further information, please refer to our Terms of Use.
A photo accompanying this announcement is available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/490757e9-ea5c-475b-a728-6eebdcc4e3fe
SOURCE: Bitget Limited
DISCLAIMER: BERNAMA MREM are not accountable for any causes of website defacement, misuse, or illegal activities connected to cryptocurrency, blockchain, tokenisation, or bitcoin. This material should not be considered as guidance or an opinion, as it does not constitute financial or investment advice. Use this information at your own risk; we are not liable for any losses or damages caused by the republication of this article.
--BERNAMA
SeenThis Studio MCP takes video ads from prompt to live with everyday AI tools
SeenThis Studio MCP connects Claude, ChatGPT and other AI tools to SeenThis Studio, letting agencies and brands build, version, approve and deliver video ads for the open web and social platforms from a single brief
STOCKHOLM, Nov 6 (Bernama-GLOBE NEWSWIRE) -- SeenThis, the video advertising partner, today announced the early access launch of SeenThis Studio MCP. Teams share a brief with the AI tool they already use, and it builds editable video ads in SeenThis Studio, ready for approval and delivery across the open web and social platforms.
Building video ads across multiple digital channels, and especially for the open web, requires specialist expertise, from creative adaptation and tracking setup to ad server and DSP configurations. The MCP puts that expertise directly into the hands of the teams who own the brief.
The AI tools teams already work with hold their brand guidelines, data and ways of working, which is why SeenThis chose to connect SeenThis Studio to them. The AI tool brings the knowledge of the brand, and SeenThis Studio brings the video expertise.
The AI tool builds and animates video ads in every required format, using supplied copy and brand styling. It creates versions for different markets, languages and offers, connects product feeds and shares previews for client sign-off. Early tests show production time reduced by more than 90%, meaning complex video ads that would take most of a working day to build can now be ready in under an hour.
“Frontier AI models now work the way a motion designer does, in real creative tools: they storyboard, set keyframes, time the type to the voice and cut to the beat. So why should ad video work any differently?” said Mark Pasternak, Chief Product and Technology Officer at SeenThis. “Your AI tool knows your brand. Our engine knows how an ad has to work. The more SeenThis Studio can do, the more your AI tool can do.”
Behind every build is the expertise of SeenThis's technical producers, who turn what they know about how video ads perform into the templates and guidance the AI tool follows, and who support teams with complex builds.
The MCP signs in with each user’s SeenThis Studio account. Teams then push the approved ads directly from the SeenThis Studio interface to DV360 and to social platforms like Meta and TikTok.
“AI is changing how every agency works, and video advertising is next. SeenThis has always built the technology behind the ad, from creation to delivery, and SeenThis Studio MCP puts that technology to work for the AI tools agencies already rely on. It means more brands can run great video across the open web, faster and at scale,” said Jesper Benon, CEO of SeenThis.
Availability
SeenThis Studio MCP is available now in early access to a limited group of agencies and brands. It works with AI tools supporting MCP (Model Context Protocol), the open standard for connecting AI tools to other software. Request access here.
About SeenThis
SeenThis is the video advertising partner for the open web, capturing more attention and exceptional results with cost-effective video. Since 2017, SeenThis has served billions of streams for 5,000+ brands across 50+ countries. SeenThis Studio, its creative platform, lets agencies and brands build and deliver video ads themselves. www.seenthis.co.
Media contact:
Emilie Ekengren
emilie@seenthis.se
A photo accompanying this announcement is available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/20e1625c-d99d-498d-b35e-6587cf026c4b
SOURCE: Seenthis AB
--BERNAMA
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