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Zenvia Announces New Strategic Cycle

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2 years ago

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Zenvia Customer Cloud is the result of innovation and integration of acquisitions that position

Zenvia as one of the leading SaaS providers for customer experience

SÃO PAULO, Jan. 13, 2025 /PRNewswire/ — Zenvia (NASDAQ:ZENV) (the “Company”), one of the leading SaaS providers for customer experience (CX) in Latin America, announces the beginning of its new strategic cycle.

Since its inception 21 years ago, Zenvia’s mission has always been to revolutionize the experience customers have with companies and brands, and with each new strategic cycle, the Company continues to expand its vision. The launch of Zenvia Customer Cloud in 2024 marks the end of the Company’s latest strategic cycle, which began in 2018 and aimed to expand its CX SaaS portfolio by combining investments in M&A and R&D, making Zenvia one of the segment leaders in Latin America. From January 2025, the Company will begin its new strategic cycle, focused on accelerating the growth of Zenvia Customer Cloud – our new core business and our most complete unified customer experience solution.

Zenvia Customer Cloud is a solution that integrates all stages of the customer journey—attract, convert, serve, and nurture—personalizing every interaction from the first contact to post-sales service with extensive use of Artificial Intelligence (AI) tools. With an innovative business model enabling flexible adoption, organizations can easily begin and progressively expand their use of the software, providing Zenvia with what we believe to be a highly scalable revenue growth stream.

Zenvia Customer Cloud is the result of the deep integration of the Company’s CX SaaS tools, resulting in a totally unified solution for the customer. Launched in 2024 and leveraged by Product Led Growth (PLG) strategies and international expansion, Zenvia Customer Cloud was already used by 5,700 companies, 20% of which were international customers, and we estimate it generated revenue between R$180 million and R$200 million in the year ended December 31, 2024. We estimate that this operation will grow between 25% and 30% in 2025, with a gross margin of between 68% and 70% and a positive EBITDA margin.

To reinforce the focus on its new strategic core business, the Company will proactively evaluate opportunities to divest assets that fall outside the scope of Zenvia Customer Cloud.

We believe that the combination of the new unified operating model, featuring a high degree of automation and AI utilization, along with the development and acceleration of its partner ecosystem, will streamline operations and simplify the Company’s structure. As a result, Zenvia is announcing today a workforce reduction of approximately 15%, that is expected to result in cost savings between R$30 million and R$35 million in 2025, already factoring in severance expenses.

Cassio Bobsin, Zenvia’s CEO, commented: “We are entering a new phase, building upon the solid foundation we have established throughout our history. The customer experience market is one that has benefited the most from the evolution in technology and artificial intelligence, unlocking new opportunities for our organization. The consolidation of Zenvia Customer Cloud marks the start of an exciting new chapter, positioning us as one of the most comprehensive unified SaaS CX solutions for B2C companies.” 

Shay Chor, Zenvia’s CFO & DRI, commented: “As we embark on our new strategic cycle, our focus is firmly on Zenvia Customer Cloud. We will carefully evaluate opportunities to divest non-core assets to optimize our capital structure and concentrate on expanding our ecosystem. We are confident that these actions will result in a more efficient company with exceptionally solid business metrics, enabling us to unlock significant value for our shareholders.”

Conference call for investors. Zenvia’s management team will hold a webcast to provide further details about this announcement on Tuesday, January 14, 2025, at 10:00 a.m. ET. To access the webcast, click here.

Further information about Zenvia can be found at investors.zenvia.com.

About Zenvia

Zenvia (NASDAQ: ZENV) is a technology company dedicated to shaping a new world of customer experiences. Through its Zenvia Customer Cloud solution, the company empowers businesses to deliver personalized, engaging, and fluid experiences across the entire consumer journey, leveraging data and advanced Artificial Intelligence (AI) tools. With 21 years of expertise and thousands of clients across Latin America, Zenvia helps businesses in all sectors strengthen their brands, boost sales, and enhance customer service—driving greater operational efficiency, productivity, and results from a single platform. For more information, visit our website and follow our social media profiles on LinkedIn, Instagram, TikTok and YouTube.

Forward-Looking Statements

This press release may include forward-looking statements within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are made as of the date they were first issued and were based on current expectations, estimates, forecasts, and projections, as well as the beliefs and assumptions of management. Words such as “expect,” “anticipate,” “should,” “believe,” “hope,” “target,” “project,” “goals,” “estimate,” “potential,” “predict,” “may,” “will,” “might,” “could,” “intend,” variations of these terms or the negative of these terms and similar expressions are intended to identify these statements. Forward-looking statements are subject to a number of risks and uncertainties, many of which involve factors or circumstances that are beyond Zenvia’s control. Zenvia’s actual results could differ materially from those stated or implied in forward-looking statements due to several factors, including but not limited to: our ability to innovate and respond to technological advances, changing market needs and customer demands, our ability to successfully acquire new businesses as customers, acquire customers in new industry verticals and appropriately manage international expansion, substantial and increasing competition in our market, compliance with applicable regulatory and legislative developments and regulations, the dependence of our business on our relationship with certain service providers, among other factors.

 

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SOURCE Zenvia

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

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23 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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23 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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23 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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