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TOTAL PLAY ANNOUNCES 12% GROWTH IN EBITDA TO Ps.5,390 MILLION IN THE THIRD QUARTER OF 2024

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2 years ago

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—The company reports EBITDA margin of 48%; the highest level since Total Play issues public debt—

—Capex for the quarter was equivalent to 26.5% of the company’s revenue, compared to Capex equivalent of 36.9% of revenue a year ago—

—Balance of EBITDA, less Capex and interest, reached Ps.781 million in the period—

MEXICO CITY, Oct. 23, 2024 /PRNewswire/ — Total Play Telecomunicaciones, S.A.P.I. de C.V. (“Total Play”), a leading telecommunications company in Mexico, which offers internet access, pay television and telephony services, through one of the largest 100% fiber optic networks in the country, announced today financial results for the third quarter of 2024.

“Growing operational efficiencies in Total Play — within the framework of our firm strategy to moderate subscriber base growth and strict financial discipline — translated into a solid increase in EBITDA and a growth in the EBITDA margin, reaching its highest level since the company issues public debt,” commented Eduardo Kuri, CEO of Total Play. “The higher EBITDA, combined with the Capex for the period — representing 26.5% of the company’s revenue — continued to drive cash flow generation, defined as EBITDA less Capex and interest paid, to Ps.781 million this period, marking three consecutive quarters of strong cash generation.”

“On the balance sheet, the successful issuance of long-term Secured Certificados Bursátiles for Ps.2.5 billion — announced on October 2 — along with the company’s growing cash flow, will further strengthen the cash balance, thereby boosting Total Play’s liquidity and financial strength,” added Mr. Kuri.

Third quarter results 

Revenue for the quarter was Ps.11,117 million, 10% above the Ps.10,137 million of the same period of the previous year. Total costs and expenses were Ps.5,727 million, compared to Ps.5,323 million of the previous year.

As a result, Total Play’s EBITDA grew 12% to Ps.5,390 million from Ps.4,814 million a year ago; EBITDA margin for the quarter was 48%, one percentage point higher from the same quarter in 2023. The company recorded operating income of Ps.1,147 million, compared to Ps.819 million a year ago.

Total Play reported net loss of Ps.1,087 million, from a loss of Ps.2,130 million in the same quarter of 2023.

   Q3 2023 

   Q3 2024 

  Change 

Ps. 

%

Revenue from services 

$10,137

$11,117

$980

10 %

EBITDA   

$4,814

$5,390

$576

12 %

Operating income 

Net result  

$819 

$(2,130) 

$1,147

$(1,087) 

$328 

$(1,043) 

40% 

49% 

Amounts in millions of pesos.

EBITDA: Earnings before interest, taxes, depreciation, and amortization.

Service revenue

The company’s revenue grew 10%, as a result of an 8% increase in sales in the residential segment and a 22% increase in revenues from the enterprise business.

Totalplay Residencial’s revenue growth to Ps. 9,544 million, compared to Ps. 8,847 million a year earlier, relates to a 9% increase in the number of subscribers to the company’s services, from the same quarter a year ago, to reach 5,124,433 this period, including 69,572 small and medium-sized businesses. The company considers that the number of users reached this quarter reflects its remarkable capacity to offer technologically advanced internet services — with superior stability and speed — continuous innovation in its entertainment platform, and an excellent service.

Compared to the previous quarter, the subscriber base grew by 115,342 users, in line with Total Play’s strategy of moderating its subscriber base growth.

Average revenue per subscriber (ARPU) for the quarter was Ps.617, compared to Ps.630 a year ago and with Ps.612 from the previous quarter.

As previously announced, the company’s geographic coverage investment program was completed during the first quarter of 2023. Accordingly, the number of homes passed in Mexico at the end of this period was 17,588,706, a figure with minor variations compared to 17,531,567 a year ago.

Penetration — the proportion of homes passed by Total Play that have the company’s telecommunications services — was 29.1% at the end of the quarter, up from 26.8% a year ago.

The enterprise segment’s revenue was Ps.1,573 million, up from Ps.1,289 million in the previous year, due to the launch of various organizations´ projects in recent months.

Costs and expenses

Total costs and expenses increased 8%, as a result of a 5% increase in service costs and a 9% growth in general expenses.

The increase in costs to Ps.1,918 million from Ps.1,827 million in the previous year is primarily due to higher costs associated with business projects, links, and memberships. This increase was partially offset by lower content and licensing costs.

The increase in expenses to Ps.3,809 million, from Ps.3,496 million, reflects higher maintenance and fees expenses, in the context of the company’s growing operations. This increase was partially offset by reductions in advertising and personnel expenses.

Costs and expenses for the quarter grew at a slower rate than revenues, as a result of strategies that generate solid operational efficiencies.

EBITDA and net result

Total Play’s EBITDA was Ps.5,390 million, 12% higher compared to Ps.4,814 million of the previous year.

Relevant variations below EBITDA were the following:

An increase of Ps.248 million in depreciation and amortization was mainly due to subscriber acquisition costs — including telecommunications equipment, labor, and installation expenses.

An increase of Ps.228 million in interest expense consistent with the financial debt balance variation, attributable to the exchange rate depreciation effect on dollar-denominated debt this quarter, as well as higher debt costs.

Increase of Ps.863 million in foreign exchange loss, as a result of the net monetary liability position in foreign currency, together with a larger depreciation this quarter of the peso against the basket of currencies in which the company’s monetary liabilities are denominated, compared to the previous year.

Total Play reported a net loss of Ps.1,087 million, compared to a loss of Ps.2,130 million in the same period of 2023.

Balance sheet

As of September 30, 2024, the Company’s debt with cost was Ps.53,736 million, compared to Ps.50,280 million in the previous year. The increase shows the effect of exchange rate depreciation on dollar-denominated debt.

Lease liabilities were Ps.4,814 million, 24% lower compared to Ps.6,374 million of the previous year.

Cash and cash equivalents, plus restricted cash held in trusts, totaled Ps.5,886 million, a 6% increase from Ps.5,578 million a year ago. Consequently, the company’s net debt was Ps.52,664 million, compared to Ps.51,076 million a year ago.

The debt ratio — Net Debt / EBITDA for the last two annualized quarters — was 2.51 times, as a result of solid EBITDA growth, together with greater relative stability of the net debt balance.

Total Play’s fixed assets — including accumulated investments in fiber optics, telecommunications equipment, subscriber acquisition costs, and other assets — was Ps.62,229 million, compared to Ps.60,365 million a year ago.

Nine months results

Revenues for the first nine months of 2024 were Ps.33,355 million, 12% higher than Ps.29,830 million in the previous year, as a result of an 8% increase in residential revenues and a 32% growth in enterprise revenues. Total costs and expenses rose 10% to Ps.17,881 million from Ps.16,205 million, due to a 12% increase in service costs and a 10% growth in general expenses.

Total Play reported EBITDA of Ps.15,474 million, a 14% increase from Ps.13,625 million the previous year. The EBITDA margin for the period was 46%. Operating income reached Ps.2,872 million, up from Ps.1,711 million in the same period of 2023.

The company recorded a net loss of Ps.5,984 million, compared to a loss of Ps.2,123 million a year ago.

   9M 2023

   9M 2024

   Change

Ps.

%

Revenue from services

$29,830

$33,355

$3,525

12 %

EBITDA      

$13,625

$15,474

$1,849

14 %

Operating income

Net result    

$1,711

$(2,123)

$2,872

$(5,984)

$1,161

$(3,861)

68%

—-

Amounts in millions of pesos.

EBITDA: Earnings before interest, taxes, depreciation, and amortization.

About Total Play

Total Play is a leading Triple Play provider in Mexico that, thanks to the widest direct-to-home fiber optic network in the country, offers entertainment and technologically advanced services with the highest quality and speed in the market. For the latest news and updates about Total Play, visit: www.totalplay.com.mx.

Total Play is a Grupo Salinas company (www.gruposalinas.com), a group of dynamic, fast-growing, and technologically advanced companies focused on creating economic value through market innovation and goods and services that improve standards of living; social value to improve community well-being; and environmental value by reducing the negative impact of its business activities. Created by Mexican entrepreneur Ricardo B. Salinas (www.ricardosalinas.com), Grupo Salinas operates as a management development and decision forum for the top leaders of member companies. Each of the Grupo Salinas companies operates independently, with its own management, board of directors, and shareholders. Grupo Salinas has no equity holdings. The group of companies shares a common vision, values, and strategies for achieving rapid growth, superior results, and world-class performance.

Except for historical information, the matters discussed in this press release are concepts about the future that involve risks and uncertainty that may cause actual results to differ materially from those projected. Other risks that may affect Total Play and its subsidiaries are presented in documents sent to the securities authorities.

 

Investor Relations:

Bruno Rangel

Rolando Villarreal

+ 52 (55) 1720 9167

+ 52 (55) 1720 9167

jrangelk@totalplay.com.mx

rvillarreal@totalplay.com.mx

Press Relations:

Luciano Pascoe

Tel. +52 (55) 1720 1313 ext. 36553

lpascoe@gruposalinas.com.mx

 

TOTAL PLAY TELECOMUNICACIONES, S.A.P.I.  DE C.V. AND SUBSIDIARIES

CONSOLIDATED QUARTERLY INCOME STATEMENTS

(Millions of Mexican pesos)

3Q23

3Q24

Change

$

%

$

%

$

%

Revenue from services

10,137

100 %

11,117

100 %

980

10 %

Cost of services

(1,827)

(18 %)

(1,918)

(17 %)

(91)

(5 %)

Gross profit

8,310

82 %

9,199

83 %

889

11 %

General expenses

(3,496)

(34 %)

(3,809)

(34 %)

(313)

(9 %)

EBITDA

4,814

47 %

5,390

48 %

576

12 %

Depreciation and amortization

(3,995)

(39 %)

(4,243)

(38 %)

(248)

(6 %)

Operating profit 

819

8 %

1,147

10 %

328

40 %

Financial cost:

Interest revenue

48

0 %

91

1 %

43

90 %

Change in fair value of financial instruments

(135)

(1 %)

(110)

(1 %)

25

19 %

Accrued interest expense

(1,386)

(14 %)

(1,614)

(15 %)

(228)

(16 %)

Other financial expenses

(121)

(1 %)

(134)

(1 %)

(13)

(11 %)

Foreign exchange loss – Net

(701)

(7 %)

(1,564)

(14 %)

(863)

(123 %)

(2,295)

(23 %)

(3,331)

(30 %)

(1,036)

(45 %)

Loss before income tax provisions

(1,476)

(15 %)

(2,184)

(20 %)

(708)

(48 %)

Income tax provision

(654)

(6 %)

1,097

10 %

1,751

n.m.

Net loss for the period

(2,130)

(21 %)

(1,087)

(10 %)

1,043

49 %

 

TOTAL PLAY TELECOMUNICACIONES, S.A.P.I. DE C.V. AND SUBSIDIARIES

CONSOLIDATED ACCUMULATED INCOME STATEMENTS

(Millions of Mexican pesos)

Accumulated

Accumulated

9M23

9M24

Change

$

%

$

%

$

%

Revenue from services

29,830

100 %

33,355

100 %

3,525

12 %

Cost of services

(5,737)

(19 %)

(6,400)

(19 %)

(663)

(12 %)

Gross profit

24,093

81 %

26,955

81 %

2,862

12 %

General expenses

(10,468)

(35 %)

(11,481)

(34 %)

(1,013)

(10 %)

EBITDA

13,625

46 %

15,474

46 %

1,849

14 %

Depreciation and amortization

(11,914)

(40 %)

(12,602)

(38 %)

(688)

(6 %)

Operating profit

1,711

6 %

2,872

9 %

1,161

68 %

Financial cost:

Interest revenue

138

0 %

235

1 %

97

70 %

Change in fair value of financial instruments

(463)

(2 %)

(1,124)

(3 %)

(661)

(143 %)

Accrued interest expense

(4,067)

(14 %)

(4,656)

(14 %)

(589)

(14 %)

Other financial expenses

(338)

(1 %)

(78)

(0 %)

260

77 %

Foreign exchange gain (loss) – Net

2,771

9 %

(3,627)

(11 %)

(6,398)

n.m. 

(1,959)

(7 %)

(9,250)

(28 %)

(7,291)

n.m. 

Equity interest in net results of non-controlling entities

(19)

(0 %)

–

0 %

(19)

(100 %)

Loss before income tax provisions

(267)

(1 %)

(6,378)

(19 %)

(6,111)

n.m. 

Income tax provision

(1,856)

(6 %)

394

1 %

(2,250)

(121 %)

Net loss for the period

(2,123)

(7 %)

(5,984)

(18 %)

(3,861)

(182 %)

 

TOTAL PLAY TELECOMUNICACIONES, S.A.P.I. DE C.V. AND SUBSIDIARIES

CONSOLIDATED BALANCE SHEETS

(Millions of Mexican pesos)

As of September 30,

2023

2024

Change

$

%

$

%

$

%

Assets

CURRENT ASSETS

Cash and cash equivalents

1,750

2 %

3,507

4 %

1,757

100 %

Restricted cash in trusts

3,828

4 %

2,379

3 %

(1,449)

(38 %)

Customers – net

4,445

5 %

3,877

5 %

(568)

(13 %)

Other accounts receivable

187

0 %

149

0 %

(38)

(20 %)

Recoverable taxes

4,086

5 %

3,897

5 %

(189)

(5 %)

Related parties

264

0 %

272

0 %

8

3 %

Inventories

2,765

3 %

2,486

3 %

(279)

(10 %)

Prepaid expenses

516

1 %

494

1 %

(22)

(4 %)

Total current assets

17,841

21 %

17,061

20 %

(780)

(4 %)

NON-CURRENT ASSETS

Related parties

159

0 %

275

0 %

116

73 %

Property, plant and equipmente – Net

60,365

70 %

62,229

73 %

1,864

3 %

Rights-of-use assets -Net

5,445

6 %

3,642

4 %

(1,803)

(33 %)

Trademarks and other assets

2,181

3 %

2,465

3 %

284

13 %

Total non-current assets

68,150

79 %

68,611

80 %

461

1 %

Total assets

85,991

100 %

85,672

100 %

(319)

(0 %)

Liabilities and Stockholders’ Equity

SHORT-TERM LIABILITIES

Financial debt

4,448

5 %

6,137

7 %

1,689

38 %

Lease liabilities

2,399

3 %

2,468

3 %

69

3 %

Trade payables

13,274

15 %

16,034

19 %

2,760

21 %

Reverse factoring

2,225

3 %

1,488

2 %

(737)

(33 %)

Other payables and payable taxes

2,013

2 %

2,106

2 %

93

5 %

Related parties

863

1 %

1,309

2 %

446

52 %

Liabilities from contracts with customers

681

1 %

400

0 %

(281)

(41 %)

Interest payable

430

1 %

79

0 %

(351)

(82 %)

Derivative financial instruments

57

0 %

10

0 %

(47)

(82 %)

Total short-term liabilities

26,390

31 %

30,031

35 %

3,641

14 %

LONG-TERM LIABILITIES

Financial debt

45,832

53 %

47,599

56 %

1,767

4 %

Lease liabilities

3,975

5 %

2,346

3 %

(1,629)

(41 %)

Derivative financial instruments

2,086

2 %

–

0 %

(2,086)

(100 %)

Employee benefits

56

0 %

101

0 %

45

80 %

Deferred income tax

4,211

5 %

5,517

6 %

1,306

31 %

Total long-term liabilities

56,160

65 %

55,563

65 %

(597)

(1 %)

Total liabilities

82,550

96 %

85,594

100 %

3,044

4 %

STOCKHOLDERS’ EQUITY

3,441

4 %

78

0 %

(3,363)

(98 %)

Total liabilities and stockholders’ equity

85,991

100 %

85,672

100 %

(319)

(0 %)

 

TOTAL PLAY TELECOMUNICACIONES, S.A.P.I. DE C.V. AND SUBSIDIARIES

CONSOLIDATED STATEMENTS OF CASH FLOWS

(Millions of Mexican pesos)

9th months period ended

September 30,

2023

2024

Operating activities:

Loss before income tax provision

(267)

(6,378)

Items not requiring the use of resources:

Depreciation and amortization

11,914

12,602

Employee benefits

7

26

Items related to investing or financing activities:

Accrued interest income

(138)

(235)

Accrued interest expense and other financial transactions

4,880

5,857

Unrealized exchange (gain) loss

(2,832)

3,647

Non-controlling participation

19

–

13,583

15,519

Resources (used in) generated by operating activities:

Customers and unearned revenue

756

(45)

Other receivables

49

35

Related parties, net

420

354

Taxes to be recovered

(275)

244

Inventories

(423)

441

Advance payments

392

35

Trade payables

2,587

2,505

Other payables

(427)

684

Cash flows generated by operating activities

16,662

19,772

Investing activities: 

Acquisition of property, plant and equipment

(11,815)

(8,902)

Other assets

(63)

(120)

Collected interest

138

235

Cash flows (used in) investing activities

(11,740)

(8,787)

Financing activities:

Loans received

3,304

(2,165)

Leasing cash flows

(1,936)

(1,796)

Restricted Cash in Trusts

(1,841)

998

Reverse factoring

(466)

(746)

Derivative financial instruments

(315)

(1,522)

Interest payment

(3,808)

(4,624)

Cahs flows used in financing activities

(5,062)

(9,855)

Net increase (decrease) in cash and cash equivalents

(140)

1,130

Cash and cash equivalents at the beginning of the year 

1,890

2,377

Cash and cash equivalents at the end of the year 

1,750

3,507

 

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SOURCE Total Play Telecomunicaciones, S.A.P.I. de C.V.

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

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15 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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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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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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