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SKAI Intelligence Partners with Korea’s Leading AI Institute to Advance Synthetic Data and Physical AI Research

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Collaboration combines SKAI Intelligence’s industrial synthetic-data pipeline with Korea’s leading AI research institution Joint research to advance robotic perception, grasping, and vision technologies for real-world Physical AI applications Partnership aims to accelerate next-generation robotics development through high-fidelity digital twins and simulation technologies

SEOUL, South Korea, June 4, 2026 /PRNewswire/ — SKAI Intelligence, a Physical AI company specializing in digital twins and industrial-grade synthetic data, today announced the signing of a memorandum of understanding (MOU) with the Seoul National University AI Institute (AIIS), one of Asia’s leading artificial intelligence research organizations, to jointly advance core technologies powering the next generation of intelligent robotics.

The collaboration brings together SKAI Intelligence’s expertise in high-fidelity digital twins, synthetic-data generation, and simulation technologies with the Seoul National University AI Institute’s world-class AI research capabilities. Together, the two organizations will pursue research and development initiatives aimed at accelerating the commercialization of Physical AI across industrial applications.

As robotics and autonomous systems increasingly move from controlled environments into real-world settings, the ability to train AI models using large-scale, high-quality synthetic data has emerged as a critical industry challenge. Through this partnership, SKAI Intelligence and AIIS will focus on developing advanced robotic perception, grasping, vision, and spatial understanding technologies that enable robots to better understand, interact with, and navigate complex physical environments.

At the center of the collaboration is SKAI Intelligence’s synthetic-data production infrastructure, which leverages NVIDIA Omniverse-based digital twin technology to transform real-world objects and environments into highly accurate virtual assets. The platform enables the generation of industrial-scale synthetic datasets for AI training, testing, evaluation, and validation, helping bridge the gap between simulation and real-world deployment.

The two organizations will jointly conduct research in robotic perception and grasping, object recognition and pose estimation, monocular depth estimation, real-time object tracking, and other foundational technologies required for Physical AI systems. The partners also plan to collaborate on government-sponsored research programs, talent exchanges, and large-scale AI model development initiatives.

By combining academic research with industrial-scale simulation and synthetic-data generation capabilities, the partnership seeks to advance Sim-to-Real methodologies that allow robots to learn more efficiently in virtual environments before being deployed in real-world scenarios.

“In the Physical AI era, the ability to accurately replicate the real world in digital form and generate scalable, high-quality training data will become a defining competitive advantage,” said Morgan Mao, co-CEO and co-Founder of SKAI Intelligence. “By combining our digital twin and synthetic-data technologies with the world-class AI research expertise of Seoul National University AI Institute, we aim to accelerate the development and commercialization of next-generation robotics and Physical AI technologies,” Mao added.

“This collaboration represents an important step toward bridging advanced AI research with practical industrial applications,” said Jaewook Lee, Director of the Seoul National University AI Institute. “Through joint research and continuous technical collaboration, we hope to contribute to the advancement of globally competitive Physical AI technologies.”

This strategic partnership reflects SKAI Intelligence’s broader strategy to strengthen its position as a key infrastructure provider for the emerging Physical AI ecosystem. The company has been expanding its investments in digital twin technologies, synthetic-data generation, and AI simulation platforms to support robotics, automation, and intelligent manufacturing applications worldwide.

About SKAI Intelligence
SKAI Intelligence is a Physical AI company delivering industrial-grade synthetic data and high-fidelity digital twins for enterprise and industrial applications. Leveraging AI-powered simulation, automation, and digital twin technologies, the company enables scalable AI training and next-generation digital infrastructure across industries.

As an NVIDIA Independent Software Vendor (ISV), SKAI Intelligence leverages NVIDIA Omniverse technologies to support digital twin workflows, synthetic data generation, and real-time simulation environments for Physical AI applications.

About Seoul National University AI Institute (AIIS)
The Seoul National University AI Institute (AIIS) is one of Korea’s leading artificial intelligence research organizations, conducting advanced research across machine learning, robotics, computer vision, natural language processing, and next-generation AI systems. AIIS collaborates with academic, government, and industry partners to advance AI innovation and commercialization.

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SOURCE SKAI Intelligence

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SOPHiA GENETICS Announces Pricing of $50 Million Public Offering of Ordinary Shares

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BOSTON and ROLLE, Switzerland, June 16, 2026 /PRNewswire/ — SOPHiA GENETICS (Nasdaq: SOPH), a global leader in Ai-driven precision medicine, announced today the pricing of its previously announced underwritten public offering of 10,526,000 ordinary shares at a public offering price of $4.75 per ordinary share. The gross proceeds from the offering, before deducting the underwriting discounts and commissions and estimated offering expenses payable by the Company are expected to be approximately $50 million. All of the ordinary shares to be sold in the proposed offering will be sold by the Company. In addition, the Company has granted the underwriters a 30-day option to purchase up to 1,578,900 additional ordinary shares at the public offering price, less the underwriting discounts and commissions. The offering is expected to close on June 18, 2026, subject to customary closing conditions.

TD Cowen is acting as the lead book-running manager for the offering. Guggenheim Securities is acting as book-running manager, and BTIG and Craig-Hallum are acting as lead managers for the offering.

A registration statement on Form F-3 (File No. 333-289266) relating to the ordinary shares and other securities of the Company has been filed with the U.S. Securities and Exchange Commission (the “SEC”) and was declared effective on August 15, 2025. The offering may be made only by means of a prospectus supplement and accompanying prospectus. A preliminary prospectus supplement and accompanying prospectus relating to this offering has been filed with the SEC and a final prospectus supplement and accompanying prospectus relating to the offering will be filed with the SEC. Electronic copies of the final prospectus supplement and accompanying prospectus will be available on the SEC’s website located at www.sec.gov. Copies of the final prospectus supplement and accompanying prospectus relating to this offering, when available, may be obtained for free by contacting TD Securities (USA) LLC, c/o Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY 11717 or by email at TDManualrequest@broadridge.com.

This press release shall not constitute an offer to sell or a solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction. Any offers, solicitations or offers to buy, or any sales of securities will be made in accordance with the registration requirements of the Securities Act of 1933, as amended. There is no intention or permission to publicly offer, solicit, sell or advertise, directly or indirectly, any securities of SOPHiA GENETICS SA, such as the ordinary shares, in or into Switzerland within the meaning of the Swiss Financial Services Act (“FinSA”) and these securities will not be listed or admitted to trading on the SIX Swiss Exchange or on any other regulated trading venue (exchange or multilateral trading facility) in Switzerland. Neither this press release nor any other offering or marketing material relating to these securities, such as the ordinary shares, constitutes or will constitute a prospectus pursuant to the FinSA, and neither this press release nor any other offering or marketing material relating to these securities, such as the ordinary shares, may be publicly distributed or otherwise made publicly available in Switzerland.

About SOPHiA GENETICS

SOPHiA GENETICS (Nasdaq: SOPH) is a cloud-native healthcare technology company on a mission to expand access to data-driven medicine by using Ai to deliver world-class care to patients with cancer and rare disorders across the globe. It is the creator of SOPHiA DDM™, a platform that analyzes complex genomic and multimodal data and generates real-time, actionable insights for a broad global network of hospital, laboratory, and biopharma institutions.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, including statements regarding our expectations regarding the expected closing of this offering. In some cases, you can identify forward-looking statements by terminology such as “may”, “will”, “should”, “would”, “expect”, “intend”, “plan”, “anticipate”, “believe”, “estimate”, “predict”, “potential”, “seem”, “seek”, “future”, “continue”, or “appear” or the negative of these terms or similar expressions, although not all forward-looking statements contain these identifying words. Forward-looking statements are based on our management’s beliefs and assumptions and on information currently available to our management. Such statements are subject to risks and uncertainties, and actual results may differ materially from those expressed or implied in the forward-looking statements due to various factors, including those described in our filings with the SEC. No assurance can be given that such future results will be achieved. Such forward-looking statements contained in this press release speak only as of the date hereof. We expressly disclaim any obligation or undertaking to update these forward-looking statements contained in this press release to reflect any change in our expectations or any change in events, conditions, or circumstances on which such statements are based, unless required to do so by applicable law. No representations or warranties (express or implied) are made about the accuracy of any such forward-looking statements.

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Cohesity Maestro: Data Protection, Recovery, and Security Intelligence — Inside Existing Enterprise AI Workflows

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Cohesity will deliver the industry’s first headless data security architecture by extending protection, real-time telemetry, autonomous agents, and AI search directly into the AI-driven workflows enterprises have already built

SINGAPORE, June 17, 2026 /PRNewswire/ — Cohesity, the leader in AI-powered data security, today announced Cohesity Maestro, making the full Cohesity Data Cloud — cyber resilience operations, real-time telemetry, autonomous agents, and Cohesity Gaia, its AI-powered enterprise search and knowledge engine — natively accessible through Model Context Protocol (MCP). With Cohesity Maestro, we’re pioneering a headless architecture for cyber resilience — a capability no vendor in the industry has yet brought to market: one in which key Cohesity actions, telemetry signals, and data assets can be driven through agents, with no Cohesity interface required. Just as companies like Salesforce pioneered headless enterprise software, making their entire CRM platform commandable by external AI agents through open standards, Cohesity brings that same architectural shift to data security.

Built on the open MCP standard, Cohesity Maestro integrates natively with the AI platforms enterprises have already standardized on, including Anthropic Claude, OpenAI ChatGPT, and Google Gemini, without custom integrations or proprietary connectors. While some competitors have created a walled garden of agentic experience, Cohesity Maestro is open by design, giving enterprises broad choice over their AI stack and the flexibility to use the agentic tools best suited to their needs.

“Our customers have already chosen,” said Sanjay Poonen, CEO, Cohesity. “Claude, Gemini, and GPT already run operations on these platforms, which grow in capability every day. Cohesity Maestro gives those platforms direct access to our data protection capabilities. No new console. No workflow changes. Just the power of Cohesity, wherever their AI already lives. This is what headless data protection looks like, and Cohesity is the first in our industry to deliver it.”

Cohesity has long believed that technology should adapt to how people work, not the other way around. Cohesity’s platform already has the ability to act as an Agent to drive autonomous actions and orchestration, all within the user experience of the platform. For example, Cohesity Copilot, launched in 2024, introduced natural-language administration for data protection before the industry followed suit. Cohesity RecoveryAgent, launched in 2025, delivered intelligent cyber recovery when others were still selling manual runbooks.

That conviction now points somewhere new. Enterprises aren’t evaluating AI platforms anymore. They’ve chosen them. Their teams continue to build workflows around Claude, Gemini, and ChatGPT that grow more capable every week. The question they’re asking vendors isn’t “can you give us AI?” It’s simpler: can your product reach us where we already are?

For enterprises creating their own AI-driven workflows and assembling models, tools, and dashboards tailored to how their teams work, Cohesity Maestro fits inside whatever that looks like, while being governed by the same role-based access controls, authentication, and audit framework that apply to direct platform access. Cohesity doesn’t prescribe the AI experience; it participates in the one customers are already building on their own security terms.

IT and security operations teams can now ask what changed across their environment in the last 24 hours and surface a prioritized view of business-critical risks and recovery gaps. From there, they can trigger restores, hunt threats, and orchestrate recovery directly from the AI tools they already use, without switching to a separate console.

With Cohesity Maestro, customers will have native access to Cohesity platform capabilities, including:[1]

Cyber resilience orchestration — data protection actions, including protection, restores, status, reporting, query status, recovery groups, blueprints, threat hunting, and moreTelemetry and threat signals — real-time security telemetry and operational signals, surfaced into any AI workflow, enabling a custom intelligence layer integrated with existing operationsCohesity Gaia — semantically enriched search over all protected data, powered by NVIDIA enterprise AI and a deep metadata catalog, delivering enterprise data insights for developing better agents (available to Cohesity Gaia customers)Cohesity AI agents — including Cohesity Copilot for conversational reporting, anomaly detection, and operational actions, and Cohesity RecoveryAgent for recovery group and blueprint orchestration, with more agents to follow
 

As enterprise AI agents become more capable, Cohesity Maestro lays the foundation for a new model of autonomous business resilience: one in which an agent detects an issue, decides the appropriate response, and acts without waiting for human instruction.

Availability

Cohesity Copilot and RecoveryAgent are available today, along with Cohesity Gaia support for MCP. The Cohesity Maestro MCP interface and additional agents are expected to be available later this year. Contact Cohesity for early access information.

[1] Capability availability depends on existing Cohesity product subscriptions. Cohesity Gaia capabilities are available to Cohesity Gaia customers.

About Cohesity

Cohesity protects, secures, and provides insights into the world’s data. As the leader in AI-powered data security, Cohesity helps organizations strengthen resilience, accelerate recovery, and reduce IT costs. With Zero Trust security and advanced AI/ML, Cohesity Data Cloud is trusted by customers in more than 140 countries, including more than 70% of the Fortune Global 500. Cohesity is also backed by industry leaders such as NVIDIA, Amazon, Google, IBM, Cisco, and HPE. 

Cohesity is certified as a Great Place to Work in multiple countries. Follow Cohesity on LinkedIn and visit www.cohesity.com to learn more.   

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SOURCE Cohesity

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MoClaw’s Cloud Computer Now Runs Thousands of AI Agent Tasks a Day, Unattended

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Each user gets an AI agent on its own cloud computer — with browser control, persistent memory, reusable skills, scheduled automation, file storage, and transparent BYOK model access — no laptop required.

SAN FRANCISCO, June 16, 2026 /PRNewswire/ — MoClaw, the personal AI cloud computer, today announced that its platform is executing thousands of scheduled agent tasks per day without human intervention.

Unlike conventional AI assistants that respond only when prompted, MoClaw gives each user a persistent cloud computer. Agents drive browsers, manage files, run code, remember prior context, reuse skills, and execute recurring tasks — all without the user being present. With transparent bring-your-own-key model access, customers connect their own AI provider keys and pay those providers directly, with no markup from MoClaw on model usage.

Agents need infrastructure. Running them reliably means renting a server, configuring dependencies, and writing recovery logic — or leaving a laptop open around the clock. MoClaw removes that overhead. Each agent, its tools, and its runtime live in a managed, sandboxed environment that stays on whether the user is online or not.

Users assign work through the web, Telegram, or Slack. From there, agents navigate websites, extract data, fill forms, generate documents, and return results to the user’s preferred channel. Because each agent carries persistent memory and a library of more than 50 reusable skills — from browser control and web research to document handling and code execution — it builds on prior work instead of starting from scratch each session. Scheduled tasks run at set intervals; on-demand tasks fire immediately.

“Most agent products show you a demo where one task works once,” said Richard, Founder of MoClaw. “We wanted something different — a computer in the cloud that remembers what it did yesterday, reuses the skills it has already learned, checks your supplier portals every morning, compiles a competitor brief overnight, and sends a summary to Slack before you start work. The agents just run, the way a server runs.”

Early users rely on MoClaw for work that would otherwise require a dedicated machine or daily manual effort. Common tasks include monitoring competitor pricing pages on a fixed schedule, scraping public filings and summarizing changes, pulling cross-platform data into a morning report, and keeping browser-based workflows running that break the moment a laptop goes to sleep.

MoClaw is available now at moclaw.ai. Plans start at $20 per month and include persistent cloud storage, a visual desktop, browser control, reusable skills, and 24/7 scheduling — with no markup from MoClaw on AI compute. Customers can also connect their own model keys from OpenAI, Anthropic, Google, or other supported providers and pay those providers directly at standard rates.

About MoClaw

MoClaw is a personal AI cloud computer. Each user gets a persistent workspace where agents remember context, reuse skills, drive browsers, run scheduled tasks, and complete work autonomously — with transparent BYOK model access and no markup on AI compute. Available from Web, Telegram, and Slack. Learn more at moclaw.ai.

Press Contact:
Richard
2542492894
https://moclaw.ai/

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SOURCE MoClaw

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