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Driving AI Forward: Coohom Cloud’s Groundbreaking 2D and 3D Interior Data Solutions Revealed at CVPR 2024

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HANGZHOU, China, June 28, 2024 /PRNewswire/ — Coohom Cloud, a leading provider of data services and solutions for the AI industry, proudly unveiled its latest advancements in 2D and 3D interior dataset products at the Conference on Computer Vision and Pattern Recognition (CVPR) 2024. This preeminent event, held from June 17-21 in Seattle, brought together top researchers, scientists, and industry leaders to explore breakthroughs in computer vision, artificial intelligence, machine learning, deep learning, and much more.

Embodied intelligence emerged as a focal point at CVPR this year, representing an advanced field that merges computer vision, machine learning, and robotics. The demand for large-scale and high-quality datasets has become increasingly evident, whether for training humanoid robots or constructing robust AI models.

Coohom Cloud was established by Koolab Innovation Laboratory of MANYCORE TECH INC. in 2017, after realizing that many industries were on the verge of significant investments in high-quality data. MANYCORE TECH INC. is a leading global cloud based interior design software platform, Coohom Cloud leverages its parent company MANYCORE TECH INC.’s extensive indoor data resources, combined with high-performance rendering engines and advanced data processing technologies, to deliver realistic and physically accurate 2D and 3D interior datasets and services to the AI industry.

In 2018, MANYCORE TECH INC. collaborated with Imperial College London and the University of Southern California to introduce the InteriorNet, which was then the largest publicly available indoor scene dataset. Building upon this, the MANYCORE TECH INC.’s platform now generate over 400,000 3D designs daily and houses approximately 360 million 3D models, encompassing furniture, appliances, household items, and more. This forms a robust data foundation provided by Coohom Cloud for research in indoor environment understanding, 3D reconstruction, robotics simulation and beyond.

Regarding 2D image rendering technology, Coohom Cloud employs a proprietary rendering engine to capture image data in diverse indoor settings through adjusting camera parameters, path trajectories, lighting conditions, etc., resulting in 2D datasets in formats such as RGB, depth, semantic, normal, point cloud, and others. This capability allows Coohom Cloud to produce 300,000 sets of 2D datasets daily, serving as ample training materials for AI agents’ navigation, visual perception, and environmental understanding capabilities.

To provide cost-effective data service solutions, Coohom Cloud utilizes its self-developed data processing engine designed for efficient data transformation, converting the accumulated database into formats suitable for AI training. This data engine can offer more comprehensive support on the physical, diversity, and data labeling fronts.

Physical Enhancement: Embodied intelligence’s real-world interactive capabilities are a key indicator of its level of intelligence. Coohom Cloud integrates cutting-edge simulation platforms like NVIDIA Isaac Sim to create 3D environments with realistic physical properties, allowing robots to undergo extensive interaction testing within a virtual realm. This significantly reduces training costs, enhances training safety, and improves repeatability.

Environment Augmentation: Coohom Cloud’s environment enhancement tool enriches the complexity of virtual environments through model element diversification, material variations, as well as lighting adjustments, etc. to simulate the diversity and complexity of the real world, enhancing the adaptability and generalization ability of robots.

Segmentation & Annotation: Coohom Cloud utilizes advanced synthetic data generation techniques to customize segmentation and annotation data, supporting various labels such as semantics, materials, spatial states. This approach significantly enhances data processing efficiency and accuracy.

Moreover, Coohom Cloud remains committed to exploring additional possibilities and value for computer vision and the entire AI field through technological innovation and industry partnerships.

About MANYCORE TECH INC.

MANYCORE TECH INC. is a leading global cloud based interior design software platform founded in November 2011. Specializing in the development and application of cloud based design software systems, the company aims to “Realizing Imagination”. MANYCORE TECH INC. provides software products and digital solutions for design rendering, marketing display, production integration, and construction implementation in home decoration, commercial spaces, and real estate construction. The company’s focus on cutting-edge research in computer graphics and AI has resulted in multiple research papers being selected for top international academic conferences such as SIGGRAPH Asia, CVPR, ECCV, and BMVC.

About Coohom Cloud

Coohom Cloud is a professional data service provider incubated by the parent company, MANYCORE TECH INC.’s innovation laboratory in 2017. Building upon the outstanding interior design digital assets of the parent company globally, Coohom Cloud offers an array of dataset services, including interior synthetic data generation and 3D virtual assets creation. This aims to accelerate the advancement of diverse industries such as AIGC, Robotics, AI Agents, XR and more. 

For more information, please visit or follow us on:
Contact: cloud@coohom.com
Website: www.coohomcloud.com
LinkedIn: www.linkedin.com/company/coohomcloud
X: x.com/Coohom_Cloud

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SOURCE MANYCORE TECH INC.

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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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SOURCE SOPHiA GENETICS

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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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