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Saronic Raises $600M Series C to Take on Autonomous Shipbuilding

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1 year ago

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Saronic to inaugurate Port Alpha, a next-generation shipyard designed to build autonomous ships for the hybrid fleet

AUSTIN, Texas, Feb. 18, 2025 /PRNewswire/ — Saronic Technologies today announced it has closed $600 million of funding for its Series C round to advance its mission of redefining maritime superiority for the United States and its allies. The round was led by Elad Gil and values the company at $4 billion. This most recent round quadrupled Saronic’s valuation just seven months after the company hit unicorn status in July 2024. Saronic welcomes General Catalyst as a new investor and recognizes commitments from existing investors, including a16z, Caffeinated Capital, and 8VC.

The raise marks a new phase in advancing autonomy for naval and maritime missions. With this funding, Saronic plans to build Port Alpha, a next-generation shipyard capable of delivering new classes of unmanned ships at the speed and scale needed to protect and defend the maritime domain. Port Alpha will enable the expansion of Saronic’s Autonomous Surface Vessel (ASV) fleet into medium and large-class autonomous ships for defense applications. With this move, Saronic is addressing gaps in U.S. shipbuilding capacity and investing in the critical infrastructure to deliver the range and volume of autonomous ships needed to create and sustain the U.S. military’s hybrid fleet.

“A core principle of Saronic is that we design our vessels for autonomy from the keel up,” said Saronic CEO and Co-Founder Dino Mavrookas. “We will take the same approach with Port Alpha, designing a shipyard from the ground up to produce at a speed and scale not seen since World War II. Port Alpha will reflect the apex of America’s shipbuilding past – generating new opportunities for the country’s shipbuilding workforce, forging public-private partnerships to accelerate growth, and bringing innovation and ingenuity to an essential industry. We will bring these elements together with a single goal: to rapidly build a fleet of autonomous vessels in America that redefines maritime superiority and guarantees freedom of the seas for generations to come.”

“The last years have seen a degradation in the capacity for the United States to build ships and to manufacture core needs of the country. I am excited to back Saronic and its focus on revitalizing shipbuilding in America, while also building products to defend those interests,” said Elad Gil, CEO, Gil Capital.

Securing America’s Maritime Future with the Hybrid Fleet

America’s security and prosperity rely on the freedom of navigation guaranteed by the U.S. Navy and our allies, and the maritime domain has increasingly become a focus of international conflict and economic influence. To stay ahead of our adversaries, now is the time for America to reexamine its historic reliance on exquisite, expensive, and aging manned vessels and the analog industrial base that supports them.

The U.S. Navy has declared the need for a hybrid fleet – one that integrates a significant number of unmanned systems operating alongside manned platforms. Achieving this will require a transformation in how we approach shipbuilding and a dedicated focus on scaling the production of advanced technologies and autonomous systems that can extend the operational reach of the fleet, deter conflict, protect sailors and assets, and be quickly produced at a fraction of the cost.

Port Alpha: The Next Generation Shipyard to Build the Fleet of Tomorrow

Saronic has invested heavily in developing and expanding its manufacturing capabilities for its small ASVs over the past two years. Port Alpha will build on that foundation and deliver an advanced waterside facility designed from the ground up around a first-principles approach to shipbuilding. This approach will focus on eliminating inefficiencies, optimizing workflows, and creating a production system that maximizes quality, scalability, and speed. Saronic will leverage the processes and best practices that have revolutionized commercial manufacturing industries to redefine how ships are built in the autonomy era.

With this raise, we will invest into the U.S. shipbuilding infrastructure and work with federal and state legislators to establish public-private partnerships. Together, we’ll develop the next-generation shipyard right here in America.

“At General Catalyst, our mission is to help modernize our nation’s defense and industrial resilience,” said Paul Kwan, Managing Director, General Catalyst. “The velocity and economics of warfare have fundamentally evolved and several of our own team have witnessed firsthand how unmanned systems became true force multipliers in Afghanistan and in other theaters of conflict. Saronic represents a paradigm shift for our maritime resilience. GC is proud to help Saronic transform our shipbuilding industry and provide the capabilities needed for the Navy’s modern hybrid fleet.”

“As a founder of Palantir and Addepar, and an investor in every funding round at Anduril, I’ve seen many exceptional companies and intense cultures,” said Joe Lonsdale, Founder and Managing Partner, 8VC. “Saronic goes toe to toe with any of these legendary companies on its exceptional talent, intensity of effort, and mission-driven passion. We are proud to have supported Dino from day one. Saronic is one of the most important, and most impressive companies in the USA. It is critical to our national security, and to the future of the free world!”

This announcement comes on the heels of a strong 2024 for Saronic that included the development and delivery of Corsair, its largest ASV model to date; the acquisition of a ~420,000-square-foot production and manufacturing facility in Austin, Texas, to support the growing demand for its existing family of ASVs; a successful Series B funding round; and continued growth with U.S. government customers.

For more information about Saronic, please visit: https://www.saronic.com.

Media Contact: Press@saronic.com 

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SOURCE Saronic

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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47 minutes ago

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July 24, 2026

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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47 minutes ago

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July 24, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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47 minutes ago

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July 24, 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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