Orbis streams interactive 4K video at 24 frames per second, responds to user intervention instantly, and sustains hour-scale generation without evident visual or color drift.

SUNNYVALE, Calif., Sept. 1, 2026 — Visko, the AI research company behind Live Models, today announced a $10 million pre-seed round of fundraising and opened public access to Orbis — the foundation model that creates living worlds and streams them in real time, with persistent memory, interactivity, and physics-grounded generation of unbounded length.

Most AI video generators work offline: a user submits a prompt, waits, and receives a finished clip that cannot be changed. Visko’s models belong to a class the company calls Live Models — models that run rather than render. Orbis generates video continuously and in real time. Users can change the prompt at any moment during generation and see the update reflected instantly while the video keeps streaming.

According to the company’s technical report, Orbis delivers 4K video at 24 frames per second in real time and sustains hour-scale generation without evident quality or color drift. Generation is grounded in physical dynamics: a latent world model scores candidate futures during inference, steering output toward physically plausible motion and object dynamics.

In the report’s evaluations, Orbis leads compared real-time and long-video systems on DOVER aesthetic and technical quality and on VideoAlign visual and motion quality, and records the highest overall-preference and temporal-stability ratings in the report’s long-form human preference study across eight systems. The report also discloses dimensions where Orbis trails other systems, with full methodology and results published.

“Every real-time system before this faced the same wall: the longer a world runs, the more it falls apart. We built Orbis to hold together — physically, visually and narratively — for as long as you want to stay inside it. Starting today, anyone can see that for themselves at visko.ai,” said Qing (Will) Yin, founder and chief executive officer of Visko.

Dr. Michael I. Jordan from UC Berkeley, the Chairman of the Advisory Board of Visko, comments, “Visko is pursuing one of the most ambitious directions in video AI: live, stateful models that continuously perceive, predict, and interact with the world in real time while maintaining physical consistency. Visko delivers a state-of-the-art architecture that has a meaningful technological lead beyond conventional short-clip video generation. The same core capability could support a remarkably broad range of commercial opportunities, from robotics and physical simulation to gaming, live commerce, education, and real-time creative media.”

Visko was founded in 2025 by Qing (Will) Yin, a Stanford Ph.D. in Computational Mathematics and Mechanics who spent three years as a researcher at Apple. The company’s 16-person team draws from Apple, Google DeepMind, Meta, Amazon, and Tesla, and is advised by Michael I. Jordan of the University of California, Berkeley; Steve WaiChing Sun of Columbia University; and academic partner, Mengye Ren of New York University. Distribution is handled through Visko’s partner Reactor.

About Visko

Visko is an AI research company pioneering Live Models — a new class of world models that run rather than render. Where conventional AI video generates a clip and stops, Visko’s foundation model, Orbis, simulates a world and streams it live: physics-grounded, interactive, with persistent memory and no fixed length. The company’s thesis is that the next paradigm of AI is not a model you call, but a process that runs in step with the world itself. Founded by Stanford Ph.D. and former Apple researcher Qing (Will) Yin, Visko is headquartered in Sunnyvale, California, and has raised $10 million led by Llama Ventures. Learn more at visko.ai.

SOURCE Visko

Silicon Valley technology company advances enterprise adoption through an integrated AI-powered ecosystem connecting payments, commerce, logistics and travel

PALO ALTO, Calif., Sept. 1, 2026 — PayToMe.co, a Silicon Valley AI and financial technology company, today announced the continued global expansion of its AI-powered commerce platform, connecting FinTech, commerce, logistics and travel through an integrated ecosystem serving consumers and enterprises in the United States and international markets.

Businesses and consumers operate in a world where money, commerce, goods and people move continuously, yet the technology supporting those activities remains fragmented across payments, financial operations, customer engagement, fulfillment, logistics and service. PayToMe.co connects that journey through technology designed to make complex transactions simpler, faster and more intelligent.

The company is accelerating enterprise adoption, strategic relationships and international reach while continuing to advance AI, automation, embedded FinTech and enterprise APIs.

Intelligence Behind the Network

PayToMe.co and its internal software development team have developed technology designed to intelligently orchestrate financial and commerce workflows across one connected environment.

Its platform combines AI, intelligent workflow automation, embedded payments, Text-to-Pay, digital invoicing, KYC/KYB, financial management, data intelligence and enterprise APIs to reduce manual processes across transactions, payments, customer engagement and workflow execution.

The PayToMe.co ecosystem connects with approximately 12,000 financial institutions and 7,000 applications through integrated financial technology networks. Its technology and service ecosystem includes AWS, Stripe, Plaid, Intuit QuickBooks, FedEx, UPS and DHL. PayToMe.co has received support from Startupbootcamp and Hatcher+, also participates in IBM Partner Plus and NVIDIA Inception.

PayToMe.co is designed to connect capabilities businesses already need and make them easier to access, automate and distribute. Through LuggageToShip.com, ShipAndStorage.com and ShipToBox.com, PayToMe.co extends its ecosystem across travel logistics, technology-enabled storage and domestic and international shipping.

One platform. One API. Global reach.

AI Connects Transactions to Their Destinations

Artificial intelligence is rapidly evolving from generating information toward executing real-world business processes. PayToMe.co applies AI as operating intelligence across its platform, helping software understand transactions, payments, destinations, customer requirements and available options while automating activities that traditionally require multiple companies, systems and manual decisions.

“AI provides the intelligence. FinTech moves the money. Commerce drives transactions. Logistics moves the goods. Travel moves the people. PayToMe.co connects the journey,” said Mike Ulker, CEO of PayToMe.co.

Built for a World That Never Stops Moving

Global business is becoming more digital, mobile and complex. Supply-chain volatility, inflationary pressure, cybersecurity risk, geopolitical uncertainty and climate-related disruption are increasing demand for flexible, connected infrastructure. At the same time, businesses face rising expectations for instant payments, automation, digital verification and seamless connections between online transactions and physical commerce.

PayToMe.co operates at this intersection, connecting financial technology, AI, commerce, logistics, storage and travel through an integrated ecosystem supporting services across up to 220 countries and territories.

Designed to work across existing business environments, PayToMe.co helps enterprises connect customer experiences, automate workflows and extend capabilities without independently building every financial, commerce or logistics function.

PayToMe.co combines its proprietary technology, internal software development capabilities and established commercial platforms to connect financial technology with real-world commerce—creating scalable infrastructure that helps businesses and consumers operate across domestic and global markets.

Businesses seeking to integrate payments, intelligent automation, commerce or logistics capabilities—and organizations interested in strategic partnerships—can learn more at www.paytome.co or contact [email protected]

About PayToMe.co

PayToMe.co is a Silicon Valley AI and financial technology company providing an integrated platform connecting payments, financial operations, intelligent automation and global commerce. Its ecosystem includes LuggageToShip.com, ShipToBox.com and ShipAndStorage.com, extending the company’s reach across commerce, logistics, storage and travel while supporting customers across the United States and international markets.

SHOP. SHIP. STORE. TRAVEL. PAY. Powered by PayToMe.co.

Learn more at www.paytome.co

Media and Partner Contact: [email protected]

Media Contact
Mike Ulker
(650) 963 4969
[email protected]

SOURCE PayToMe.co

LAKE FOREST, Calif., Sept. 1, 2026 — Sonorous Neurovascular, a medical device company focused on cerebral venous diseases and neurovascular interventions, today announced that  it has enrolled its first patient at a Toronto hospital in B-SILENT (NCT07070089), an international clinical study evaluating an investigational cerebral venous stent for patients with debilitating pulsatile tinnitus associated with symptomatic cerebral venous sinus stenosis. The clinical evaluation is being led by Dr. Vitor Mendes Pereira, neurosurgeon and Director of Endovascular Research and Innovation at St. Michael’s Hospital in Toronto, Canada.

The B-SILENT study is evaluating the investigational use of BosSTENT™, Sonorous’ braided, self-expanding cerebral venous stent, for the treatment of debilitating pulsatile tinnitus caused by symptomatic cerebral venous sinus stenosis. The study is designed to generate essential safety and performance data to support a future CE Mark submission.

St. Michael’s and The Ottawa Hospital are Canadian sites in B-SILENT, extending the study’s international enrollment beyond France, where four clinical sites are participating. The collaboration across French and Canadian centers reflects growing clinical interest in generating rigorous evidence for the treatment of pulsatile tinnitus associated with cerebral venous sinus stenosis.

At St. Michael’s, B-SILENT is coordinated through the RADIS Lab, with Eileen Liu and Alphonse Potvin providing clinical support for the study.

“The expansion of B-SILENT into Canada is an important step for the study and for patients living with debilitating pulsatile tinnitus,” said Joel Harris, CEO of Sonorous Neurovascular. “We are grateful to Dr. Pereira and the St. Michael’s team, Dr. Fahed and the team at The Ottawa Hospital, and our colleagues across France for their commitment to advancing this research. Their collaboration is essential to building the clinical evidence needed to evaluate this investigational therapy.”

“Pulsatile tinnitus can be extremely debilitating, yet patients often spend years searching for an explanation and an effective treatment. In appropriately selected patients, venous sinus stenosis can be an important underlying cause. B-SILENT gives us the opportunity to rigorously evaluate a technology specifically designed for the cerebral venous system and, ultimately, to build the evidence needed to improve how we treat these patients,” said Dr.  Pereira.

Sonorous Neurovascular continues to progress its clinical programs across both U.S. and international regulatory pathways, building on the company’s FDA Breakthrough Device Designation for BosSTENT™ and 510(k) clearance for BosCATH™. These achievements support Sonorous’ mission of improving the lives of patients affected by pulsatile tinnitus and other venous outflow disorders through minimally invasive, purpose-built therapies.

About Sonorous Neurovascular

Sonorous Neurovascular is a clinical-stage medical device company headquartered in Lake Forest, California, dedicated to developing transformative technologies for the treatment of cerebral venous diseases. The company’s innovative portfolio, including the BosSTENT™ (recently granted FDA Breakthrough Device Designation) and BosCATH™, aims to provide safe, effective, and purpose-built solutions that improve patient outcomes. Sonorous is actively advancing international clinical research, including the B-SILENT study (NCT07070089) evaluating the investigational use of BosSTENT™ for debilitating pulsatile tinnitus at sites in France and Canada to support CE Mark submission. For more information, visit www.sonorousnv.com.

Contact:
James D. Nonato, Vice President
Sonorous Neurovascular
Email: [email protected]
Phone: +1 (888) 830 1445

SOURCE Sonorous Neurovascular

DataAgent autonomously fixes production faults inside an organization’s own infrastructure so incidents close faster and engineering teams stop paying to ship their data to an outside vendor

TEL AVIV, Israel, Sept. 1, 2026 — DataAgent, the developer of a remediation-first Digital Immune System (DIS) for modern applications, today announced that the company has emerged from stealth with the launch of its platform and the closing of a $10 million pre-seed funding round.

DataAgent’s pre-seed funding round was led by MizMaa Ventures and Alicorn Venture Partners. DataAgent intends to use the proceeds from this funding to bring its remediation-first platform to market and accelerate customer adoption in North America.

DataAgent is led by the company’s two Co-Founders Ishay Yaari (CEO) and Nati Shalom (CTO), who worked together at Cloudify, a cloud orchestration company acquired by Dell in 2023. The company currently has a team of 15 and is actively recruiting additional go-to-market staff in the United States and Israel.

DataAgent’s remediation-first platform acts as an AI-native autonomous SRE (site reliability engineer) for Kubernetes and connected infrastructure. The platform operates directly within cloud-native control planes and integrates with existing observability systems as a lightweight overlay rather than a replacement.

The platform deploys agents to capture high-fidelity signals at the source and acts autonomously to remediate issues the moment a fault occurs, which eliminates the need for expensive external data transfers. By forwarding only relevant data for deeper inspection when a fault requires it, the DataAgent platform enables teams to drastically lower their observability bill without downtime or the risk of a full migration.

“In DataAgent, observability is just one feature – the real product is a self-healing infrastructure,” said Ishay Yaari, Co-Founder and CEO of DataAgent. “We pair a production remediation engine that fixes failures after they happen with a pre-production engine that blocks them before code ever ships. And they are not separate products: prevention and remediation are fused into one continuous lifecycle, so the system gets smarter with every failure it stops and every incident it resolves.”

“Applying rapidly evolving AI technology to major pain points with transformational results is the holy grail”, said Catherine Leun, Co-Founder and Partner at MizMaa Ventures. “DataAgent is doing exactly that by moving observability beyond insight and toward action.”

“DataAgent is attacking one of the most expensive and persistent problems in modern software infrastructure: systems that can tell engineers something is broken, but cannot safely fix it,” said Alexander Assim, Managing Partner of Alicorn Venture Partners. “What attracted us to DataAgent is the company’s ability to combine autonomous remediation with a deployment model that keeps customer infrastructure and telemetry under the customer’s control.”

Reversing the Order of Operations

Conventional observability platforms detect a fault and route it to an engineer, who then investigates and applies a fix. This model requires a second, paid copy of a customer’s telemetry – the logs and metrics a system produces about itself – to be shipped to a vendor’s cloud. This process grows more expensive as the system it watches grows. Observability spending now averages 17% of total compute infrastructure spending, according to Grafana Labs’ 2025 Observability Survey.

DataAgent reverses that order. The platform reads live system state, topology and configuration drift where the data already sits, identifies the cause of an incident and applies a verified fix. A deeper root-cause analysis is run offline after the service is restored. By restoring service first, rather than waiting on deep diagnostics, DataAgent dramatically shortens mean-time-to-resolution (MTTR). Telemetry never leaves the customer’s environment because the platform runs directly inside their own cluster and integrates alongside existing observability tools rather than replacing them.

“Traditional observability is hitting a wall of complexity and cost,” according to the research analyst firm Gartner. “Agentic AI breaks down silos and accelerates root cause analysis by moving from explanation to action. This collaborative approach enables self-healing and self-optimizing systems, bridging the gap from data to insight to action.”

Platform Capabilities

Four elements of the platform’s design enable support for autonomous remediation:

• Remediation-first – the platform autonomously resolves incidents in real-time and restores uptime using safe, guardrail-controlled actions the user defines rather than relying on traditional approaches to root-cause analysis that require expensive data ingestion transfers.
• 360-degree architectural context – the platform builds a working model of the customer’s topology, environment, code and configuration rather than acting on isolated logs and traces. A fix applied to a misread system state carries real risk, so precision determines what the platform can safely do on its own.
• Continuous reinforcement learning – during onboarding, the platform runs a discovery phase that shows a customer which classes of failure it can already remediate and sets out a timeline for closing the remaining gaps. The platform adapts to new failure modes over time and acts autonomously on a class of fault only once it has been proven correct on that class, while other cases are routed for human intervention, deployable through the user’s existing change-management process or a single CLI command.
• An open-source agent – the platform’s agent is open source and can be deployed and run standalone at no cost with a paid SaaS tier for fleet management and orchestration. This approach addresses enterprise resistance to running closed software inside production environments.

“The industry has spent 15 years building better ways to watch production and charging more for it every year. Legacy tools have become data-heavy and reactive, while recent attempts to bolt AI copilots onto this broken model have not changed the outcome,” explained Nati Shalom, Co-Founder and CTO of DataAgent. “We have built DataAgent the other way around. Our platform and agents act where the data already sits, restore health first and earn autonomy one fault class at a time. Autonomy is not an add-on feature for observability; it is a fundamental architectural shift that slashes costs as a direct result.”

Financial Impact

The design of the DataAgent platform includes two important financial benefits for customers:

• Adoption without replacement – customers can run the DataAgent platform above their existing monitoring stack, where it resolves routine faults locally and forwards data for deeper inspection only when a fault requires it. Teams see results without the downtime and the risk of a full migration, while drastically lowering their observability bill.
• Analyzing telemetry locally – instead of ingesting and indexing terabytes of redundant logs, DataAgent’s root cause analysis engine focuses deep inspection on the small fraction of code paths that dictate stability. This dramatically scales down expensive log-indexing pipelines, yielding a far lower cost structure than legacy tools.

“In ten years, no one has ever heard an engineering leader say their organization’s observability costs went down and that is no accident,” said Yaari. “When a vendor’s revenue is your data ingest, it cannot cut your bill without cutting its own. DataAgent can run alongside your existing tools, while filtering out the noise and rerouting data only when an incident demands it. There is no need for an expensive second copy of your data and everything pulled live from the source so customers can cut up to 90% of their observability spend.

About DataAgent

DataAgent is building a Digital Immune System for modern applications: a private, enterprise-grade, remediation-first platform designed to replace legacy observability tools. Founded in January 2026 and led by CEO Ishay Yaari and CTO Nati Shalom, the company prioritizes real-time autonomous remediation, including restarting, scaling and rolling back workloads, over conventional root-cause analysis. By processing in-cluster and working from a focused set of core metrics, DataAgent removes the need for large data ingestion pipelines. The company has operating infrastructure in the United States and Israel and closed a $10 million pre-seed round in 2026 led by MizMaa Ventures and Alicorn Venture Partners. For more information, please visit www.data-agent.co.

SOURCE DataAgent

Berkeley-rooted company unveils algorithmic neuroscience platform for political polling, messaging, fundraising and voter persuasion

BERKELEY, Calif., Sept. 1, 2026 — Amygdala Corp., www.amygdala.com, whose technology successfully predicted a key upset in recent Wisconsin primaries, is bringing a disruptive new technology platform to politics: Algorithmic Neuroscience.

Built on technology developed by neuroscience and engineering teams with Berkeley roots, Amygdala is pioneering NeuroPolitics — the application of neuroscience to political strategy.

“We had tremendous success applying neuromarketing to some of America’s leading brands,” said Dr. A.K. Pradeep, Amygdala chairman and co-founder. “Now we are taking those neuroscience insights from brand and market competition and applying them to something even more consequential: helping candidates win elections.”

Amygdala is built on cutting-edge science and engineering. Dr. A. K. Pradeep’s latest foundational work on neural state reduction becoming reportable thought has been accepted for publication in the peer-reviewed Frontiers of Computational Neuroscience, a multidisciplinary journal that focuses on the theoretical modeling of brain function.

The company draws on a team with decades of neuromarketing experience with major global brands to model how voters respond at a non-conscious level. Its technology focuses on two powerful neural systems: the limbic mechanisms underlying threat and emotional response, and the brain mechanisms that create Desire.

Pradeep previously founded NeuroFocus, which was acquired by Nielsen (NiQ) and became a global leader in neuromarketing. Amygdala applies these principles across political messaging, polling, voter-level issue framing and fundraising. The platform is already being deployed in congressional, gubernatorial and state legislative races across the Midwest.

Its synthetic polling moves beyond conventional digital personas. Amygdala creates neuroscience-grounded Dynamic Digital Twins using neurographic profiles of real voters. The approach combines neural-state modeling to deliver polling that is faster, less expensive and designed to capture the forces underlying voter choice.

“NeuroPolitics models what voters actually feel beneath conscious reporting — not simply what they say,” said Devin Pracar, Amygdala co-founder and VP of Product.

Amygdala continues expanding its leadership network. The company recently added Caroline Winnett, executive director of SkyDeck, the startup ecosystem of U.C. Berkeley to its advisory board. She joins the board that includes veteran Democratic strategist Joe Trippi, and political strategist Alex Shashlo.

“We are assembling extraordinary expertise across politics, neuroscience, technology and entrepreneurship,” said Dr. Robert Tatterson, CEO of Amygdala. “The sky is the limit for Amygdala as a company, and the field of NeuroPolitics.”

About Amygdala

Amygdala is a political technology company at the intersection of neuroscience, artificial intelligence and political strategy. Its NeuroPolitics platform uses Algorithmic Neuroscience to understand non-conscious voter response, generate advanced polling insights, optimize political messaging and help campaigns turn voter understanding into electoral advantage.

Contact:
Mike Smith
Chief Political Officer
Amygdala
[email protected]
703-623-3834

SOURCE Amygdala

Building on its U.S. equities offering, Binance expands access to options on selected U.S. stocks and ETFs

ABU DHABI, UAE, Sept. 1, 2026 — Binance today announced it will begin offering options on 1,000+ selected U.S. stocks and ETFs through Nest Trading Limited, its Abu Dhabi Global Market-regulated broker-dealer. Nest Trading Limited acts as introducing broker, routing orders to Alpaca Securities LLC (dba Alpaca Clearing), a U.S.-registered self-clearing broker-dealer, for execution, clearing, settlement, and custody.

The launch builds on Binance’s existing U.S. equities offering, which includes 7,000+ stocks and ETFs through Nest Trading Limited’s partnership with Alpaca, and complements equity-linked perpetual futures listed on Binance’s Recognized Investment Exchange. In addition to its crypto offerings, users can access stocks, ETFs, bStocks (tokenized securities), equity-linked perpetuals, and now stock options from a single Binance account.

Binance does not offer these products to U.S. users. Through its global, regulated broker structure and partnership with Alpaca, it is expanding access to U.S.-listed equities and related products for eligible users outside the country, helping broaden participation in the world’s largest equity market. Binance data showed users in emerging markets accounted for more than 80% of direct stock trading volume during the first week of launch.

Demand for traditional financial (“TradFi”) products on Binance has grown significantly. TradFi perpetual futures volume on Binance reached approximately $433.4 billion in August 2026, roughly 15x January’s $29.5 billion. Equity-linked perpetuals accounted for approximately 79% of Binance’s TradFi perpetuals activity in August, with equity-linked perpetual volume reaching approximately $342.9 billion, representing over 800x growth from January’s $410.9 million and underscoring the growing role of equity exposure within the platform’s derivatives offerings.

“Stock options are an important next step in Binance’s evolution into a fuller multi-asset platform,” commented Shunyet Jan, Head of Exchange and Trading at Binance. “By adding options on selected U.S. stocks and ETFs, we are expanding the tools available to users who want to participate in equity markets, manage exposure, and access strategies that have historically been offered through traditional brokers — all from one Binance account.”

Key highlights:

• Expanded multi-asset experience: Stock options complement Binance’s existing crypto and TradFi offerings, giving eligible users access to a broader range of products through a single Binance account. Fees are primarily paid in USDC, with support for BNB, USDT, USD1, and $U, subject to availability.
• Physically-settled U.S. stock options: Upon exercise, users receive or deliver the underlying shares of supported U.S.-listed stocks and ETFs, held in custody by Alpaca on behalf of Binance users. Exercise requests can be submitted up to 30 minutes before the expiry.
• More tools for market access and risk management: Eligible users can use options to express market views, hedge positions, and manage exposure. Retail users eligible for options trading will be able to buy calls and puts, where maximum potential loss is limited to the premium paid.
• Regulated framework: Stock options will be operated through Binance’s ADGM-regulated broker-dealer, with orders executed, cleared, and custodied by Alpaca Clearing, a US-registered self-clearing broker-dealer and FINRA member.

Additional stock options listings are expected over time. For most U.S. stock options, regular trading hours run from 9:30 AM to 4:00 PM ET. Certain ETF and ETN options are subject to late-close exceptions and may continue trading until 4:15 PM ET.

Binance will maintain applicable onboarding, compliance controls, education, and risk disclosures consistent with its ADGM-regulated operations.

Disclaimer: The products and services referred to herein may be restricted in certain jurisdictions or regions or to certain users, in accordance with applicable legal and regulatory requirements. These materials are intended only for those users who are permitted to access and receive the products and services referred to and are not intended for users to whom restrictions apply.

Nest Trading Limited (“NTL”) acts as your introducing broker and routes your orders for Securities and Stock Options to its clearing broker partner, Alpaca Securities LLC (dba Alpaca Clearing), for execution, clearing, settlement and custody. Alpaca Clearing does not clear or settle futures transactions. Please read Characteristics and Risks of Standardized Options before investing in options. NTL does not handle or custody your Securities.

Stock Options are contracts that give you the right, but not the obligation, to buy or sell the underlying Securities at a specified price on or before a specified expiration date. You pay a Premium to acquire this right. Stock Options do not represent ownership of the underlying Securities. Stock Options can be exercised at any time before the cut-off time on the relevant expiration date. You are solely responsible for monitoring your open Stock Option positions and determining whether to exercise them. To exercise a Stock Option, you must submit an exercise instruction through the Binance Platform. If you do not submit an exercise instruction before the cut-off, your Stock Option will be subject to auto-liquidation, meaning that your position will be sold on a best-efforts basis before the close of trading. Your Stock Option may expire without value and you may lose the entire Premium paid. Even if your Stock Option is in-the-money at expiration, it will not be automatically exercised unless you have submitted an exercise instruction.

Stock Options are subject to high market and liquidity risk and price volatility. The value of your investment may go down or up and you may not get back the amount invested. Stock Options are only available for trading during regular market hours. You are solely responsible for your investment decisions and to the extent permitted by applicable law, neither NTL nor its affiliates shall be liable for any losses you may incur. Past performance is not a reliable predictor of future performance. Before trading, you should make an independent assessment of the appropriateness of the transaction in light of your own objectives and circumstances, including the risks and potential benefits. You should not trade Stock Options unless you understand the nature of the product, including how options are exercised, the risks of auto-liquidation and the consequences of failing to act before the relevant cut-off time. Consult your own advisers, where appropriate. This information should not be construed as financial or investment advice. NTL may receive payment for order flow remuneration for directing your orders. To learn more about how to protect yourself, visit our Responsible Trading page. For more information, see our Terms of Use, Stock Options Trading Product Terms, Securities Trading Product Terms and Risk Warning.

About Binance
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. For more information, visit: https://www.binance.com.

Newlight’s retrofit transforms existing diesel engines into intelligent hybrid energy systems, combining hydrogen with AI-guided real-time combustion control to enable significantly higher energy efficiency and lower emissions.

The voyage represents a major commercial milestone for Newlight and the maritime industry. It marks Newlight’s transition into multi-vessel deployment while demonstrating a new pathway for the future of maritime energy.

Based on the measured performance, the system is projected to save similar vessels $500,000 annually, with a payback period for the technology of under 18 months.

“In a world where energy demand is accelerating, from global trade and shipping to AI and data centers, getting more useful work out of every unit of energy is becoming increasingly important. That is exactly where Newlight fits. We are building a new energy layer for the diesel engines already powering the global economy, making them materially more efficient and cleaner without requiring them to be replaced,” said Haran Cohen Hillel, Co-Founder and CEO of Newlight. “The vessel didn’t need to change how it operated. We simply gave its existing engine a way to do more, and it did so successfully across thousands of miles at sea.”

Commercial Traction

Newlight has signed commercial agreements covering 12 vessels across multiple shipping companies, with broader fleet rollouts planned for next year.

Newlight’s partners throughout this journey include lomarlabs, Undeterred Capital, CiRi Ventures, Fusion VC, BIRD Energy, AURELIA, and RINA.

“Our lomarlabs vision is to support novel ways of increasing energy efficiency and reducing shipborne emissions. When we first connected with Newlight we were drawn by the promise that its technology could cut fuel and emissions at cost levels that appeared commercially viable and sustainable,” said Stylianos Papageorgiou, Managing Director at lomarlabs. “We then admitted Newlight into our Compass Programme and became an investor to put that promise to the test. This voyage has demonstrated that hydrogen can safely be managed and used onboard, to enhance the combustion of HFO and reduce emissions. It therefore provides a new pathway for sustained compliance within the IMO 2050 framework for existing and aging vessels.”

A Retrofit, Not a Replacement

Newlight’s retrofit approach – installed in one to two weeks on traditional diesel engine vessels in the water, without needing to drydock – allows operators to start cutting both fuel costs and emissions immediately, without having to wait for delivery of a newbuilding vessel or a global alternative-fuel infrastructure that doesn’t exist at scale and likely will not be commercially available for years to come. Vessels can also continue operating during installation so there is no downtime.

Unlike ammonia- or methanol-based alternatives, which require vessels to depend entirely on a new fuel, Newlight’s system injects a small proportion of hydrogen into a ship’s existing diesel combustion process. A real-time controller anticipates each combustion cycle milliseconds in advance, continuously optimizing hydrogen injection pressure and volume as engine load, speed, and operating conditions change.

The system also allows vessels to run on diesel alone if hydrogen isn’t available, removing the infrastructure dependency and risk that has traditionally slowed down adoption of other alternative-fuel systems in shipping. The Newlight system has received regulatory approval from RINA, the globally recognized classification and regulation society, which also named the company the winner of its Hydrogen Innovation Award.

An Industry Under Pressure to Change

Global shipping moves more than 80% of world trade by volume and burns an estimated 250–300 million tons of fuel a year, at a cost of over $150 billion annually – typically comprising about half of all costs and the largest single line item in a vessel’s operating budget.

Moreover, EU carbon emissions penalties now add an estimated €1.3 million in annual costs per ship. Global fuel instability and energy dependence – evidenced most recently by the closure of the Strait of Hormuz and dramatically reduced traffic through the Suez Canal – further compound the pressures of surging fuel and regulatory costs.

About Newlight

Newlight is a maritime energy company developing hydrogen injection systems for large commercial vessels. Led by co-founders Haran Cohen Hillel and Evyatar Cohen – former senior naval officers with engineering and management experience – Newlight’s mission is to accelerate the transition of the maritime industry towards cost-effective sustainable energy. Its hydrogen injection diesel engine retrofit has been proven to reduce fuel consumption and emissions by over 20% on long-range commercial voyages.

About lomarlabs

lomarlabs is a venture catalyst with a proven track record of advancing pioneering technologies across the maritime industry. Drawing on five decades of operational expertise from Lomar, its ship-owning and management parent company, it works alongside start-ups and innovators to develop, test, and scale solutions that support the decarbonisation, automation, and transformation of global shipping.

The lomarlabs Compass Programme provides the route from early validation to onboard deployment, supporting maritime deep-tech start-ups as they move from controlled environments into live commercial operations.

Photo – https://mma.prnewswire.com/media/3008921/Newlight_Vessel.jpg

Media Contact

Zack Rothbart, Concrete Media
[email protected]

SOURCE Newlight

AMSTERDAM, Sept. 1, 2026 — DataSnipper, the agentic platform for audit and finance, today announced that Standish Management, a leading fund administrator serving private equity, venture capital, and other alternative investment funds, is leveraging DataSnipper’s AI Agents as part of its broader technology strategy to increase efficiency across its fund administration workflow.

As fund structures, reporting requirements, and investor expectations grow in complexity, Standish continues to invest in people, processes, and technology that support scalable, high-quality fund administration. Using DataSnipper’s Agentic platform, Standish has developed AI agents to work together with its highly experienced teams to automate certain tasks across processes such as investor relations, journal entries, workflow tracking, and reporting. For Standish and its clients, DataSnipper’s AI Agents enable its teams to provide enhanced value to clients through greater efficiency, faster turnaround times, greater insights, and enhanced quality.  In addition, it enables Standish’s industry leading experts to spend more time engaging with clients as thought partners.   

Working inside the native files and workflows teams already use, DataSnipper automates document-intensive processes without requiring teams to fundamentally change how they work. The platform keeps traceable links to the source document behind each figure, then matches, extracts, and compares the data, so Standish’s teams perform reviews efficiently, while preserving appropriate controls in a manner consistent with Standish’s proven, time-tested processes.

With DataSnipper’s human in the loop approach, a Standish expert stays in control at every judgment point, and every result links back to its exact source document. For a firm whose name goes on everything it sends to clients, the traceability that DataSnipper provides is what lets its teams verify and stand behind their work.

 “Our goal is not to replace expertise with automation. It’s to give our team better tools,” said Linda Jones, Managing Director and Co-Head of Client Solutions & Technology at Standish Management. “By reducing time spent on manual data gathering and validation, our teams can focus more attention on analysis, oversight, and responsiveness to our clients. We see DataSnipper as a way to enhance the client experience while maintaining the high standards of quality and accountability that define our service model,” added Alexa O’Hare, Managing Director and Co-Head of Client Solutions & Technology at Standish Management.

How Standish Management Is Using DataSnipper

As part of its broader investment in technology and operational excellence, Standish is putting DataSnipper’s AI Agents to support a number of workflow-specific activities within its fund administration operations. These are the high-volume, document-heavy tasks that run through a fund administrator every day, from extracting and validating incoming data to reconciling records and preparing information for review and reporting. Using DataSnipper’s Agent Builder, the firm has turned its procedures into reusable agents its teams can run firmwide. As the agents take on the repetitive work in bulk, Standish’s people get more time for the review, judgment, and client service the firm is known for.

“Standish is exactly the kind of forward-thinking firm we love to work with,” said Vidya Peters, CEO of DataSnipper. ” They saw how much AI could do for the speed and quality of the work they deliver to clients, and they’ve built over 50 agents across their fund administration process   They are among the first fund administrators to adopt agents at this scale, while keeping their people in control of every result. We’re proud to support Standish’s team as they raise the bar for clients.”

As more firms weigh how to bring AI into their work, Standish is at the forefront of embedding AI into its fund administration workflows in a responsible manner: agents working across the process, people accountable for every result. As the first fund administrator to work with DataSnipper to build agents, and a DataSnipper design partner, the firm will keep expanding its use of AI Agents and help put new capabilities to work first.

Learn more about DataSnipper’s agentic platform for audit and finance at datasnipper.com.

About DataSnipper

DataSnipper is the agentic platform transforming audit and finance. Powered by AI Agents, DataSnipper helps professionals reduce manual work, accelerate document analysis, and streamline complex workflows while maintaining full transparency and control. Trusted by Fortune 500 companies, government agencies, global enterprises, and all Big Four accounting firms, DataSnipper is used by professionals across 175 countries. In 2025, the company delivered more than $1.4B in productivity savings to its customers.

About Standish Management

Standish is the leading independent provider of fund administration and related services to the private capital industry. With more than 1,200 professionals across 19 offices in North America, Europe, Africa, and Asia, Standish provides comprehensive solutions for Fund Sponsors, including: fund administration, management company, tax, compliance, as well as corporate and depositary services for its clients in Europe. The firm supports over 500 clients with over $850 billion in assets under administration and serves all major alternative asset classes.

Media Contact
Chloe Shoobridge
(+31) 20 211 76 54
[email protected]

SOURCE DataSnipper

PSI launches with $58M in seed funding to industrialize physics discovery at machine scale, starting with a founding role in the first privately funded interstellar space mission and productization of its platform for optimizing terrestrial and orbital data centers

CAMBRIDGE, Mass., Sept. 1, 2026 — Matt Pines, Alex Klokus, and Dr. Alexander Wissner-Gross today launched Physical Superintelligence (PSI) to build the world’s most advanced physics research lab, creating higher-fidelity world models, engineering physical systems beyond human design, and ultimately discovering new physical laws of our universe. PSI’s vision statement is here: https://psi.inc/

PSI also announced $58 million in seed funding led by Breakthrough Energy Ventures, joined by Dragon Global, Robot Ventures, Solari, Susa, Ron Conway’s SV Angel, Valkyrie, Balaji Srinivasan, Anthony Scaramucci, and individual investors from OpenAI, NVIDIA, SoftBank Energy, Oracle, Hugging Face, JUMP Capital, and the a16z Scout Fund. As an initial proof point for its technology, PSI is productizing a portion of its core platform, Emmy (named for renowned physicist Amalie Emmy Noether) for terrestrial and orbital data center optimization.

“PSI aims to industrialize the discovery of new physics,” said CEO and Co-founder Matt Pines. “Today, that means giving our customers a measurable edge to design and run their data centers more efficiently. Tomorrow, it means going after physics problems that have been untouched for decades. Our job is to make that kind of ambition affordable and scalable again for our customers and to genuinely change what’s possible for humanity.”

“AI has the potential to fundamentally change the pace of scientific discovery, and physics is one of the areas where that impact could be profound,” said Carmichael Roberts at Breakthrough Energy Ventures. “PSI is bringing together a world-class team with the ambition and technical depth to turn that potential into real breakthroughs and unlock new possibilities across energy, computing, materials and other foundational technologies as they build a new model for how physics research gets done.”

Emmy is the lab’s team of virtual physicists, built on PSI’s sovereign reasoning engine and a large, curated inventory of simulations. Where a human physicist carries one mental model of a system, Emmy constructs higher-fidelity world models, decomposes hard research problems into trees of verifiable hypotheses, and tests them in parallel at a scale no human research team can match. Directed at open scientific problems, Emmy discovers new physics the way physics demands: following a problem to its logical end and verifying every step until the conclusion is undeniable.

The first commercial application is AI data centers and AI factories, terrestrial and orbital. Emmy uses physics-native reasoning and simulation to solve multiphysics design problems (power, cooling, network, compute) whose interactions are too coupled for the slow, manual engineering iterations they require today. The result is infrastructure engineered beyond what human design cycles can reach: optimized before construction, and retrofitted for gains in facilities already running.

PSI is the founding technical partner for the Fermi Explorer Mission, the first AI-planned interstellar mission to Alpha Centauri. PSI validated the mission’s physics, identified a substantially more efficient trajectory within the mission’s mass and budget constraints, and will contribute additional scientific instrumentation to extract greater research value from the flight.

The seed funding supports PSI’s operations as a focused, long-term research and development engine, backing work on foundational physics discoveries that have the potential to reshape humanity. It will be used to:

• Continue recruiting a world-class team: bringing together researchers, scientists, and engineers across physics and AI who want to solve genuinely new physics to benefit humanity
• Build the core Emmy platform: advancing the models, simulation, infrastructure, and verification systems its virtual physicists need to generate, test, and prove physics hypotheses at machine scale
• Pursue directed progress on the world’s most commercially and scientifically valuable discoveries across the energy-to-compute stack, from novel sensing to novel compute substrates, with the ambition of discovering new physical laws of our universe.

PSI is a team of physicists, AI researchers, experimentalists, and builders from the world’s leading companies and scientific institutions, and is hiring people who want to create the next era of physics discovery to benefit all of humanity. To learn more or apply, visit: https://psi.inc/

About PSI:

PSI is an AI-native physics lab staffed by virtual physicists, creating higher-fidelity world models, engineering physical systems beyond human design, and ultimately discovering new physical laws of our universe. To learn more or apply, visit: https://psi.inc/

Media contact: [email protected] 

SOURCE Physical Superintelligence