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MIND TECHNOLOGY, INC. REPORTS FISCAL 2025 FIRST QUARTER RESULTS

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THE WOODLANDS, Texas, June 10, 2024 /PRNewswire/ — MIND Technology, Inc. (NASDAQ: MIND) (“MIND” or the “Company”) today announced financial results for its fiscal 2025 first quarter ended April 30, 2024.

Revenues from continuing operations for the first quarter of fiscal 2025 were approximately $9.7 million compared to approximately $10.6 million in the first quarter of fiscal 2024. The Company reported operating income from continuing operations of approximately $730,000 for the first quarter of fiscal 2025 compared to approximately $419,000 for the first quarter last year. Net income for the first quarter of fiscal 2025 amounted to approximately $954,000 compared to a loss of approximately $240,000 in the first quarter of fiscal 2024. First quarter of fiscal 2025 net income attributable to common shareholders (after declared and undeclared preferred stock dividends) was approximately $7,000, or less than $0.01 per share compared to a loss of approximately $1.2 million, or a loss of $0.84 per share in the first quarter last year.  Adjusted EBITDA from continuing operations for the first quarter of fiscal 2025 was approximately $1.5 million compared to approximately $874,000 in the first quarter of fiscal 2024.

Adjusted EBITDA from continuing operations, which is a non-GAAP measure, is defined and reconciled to reported net income (loss) from continuing operations and cash used in operating activities in the accompanying financial tables. These are the most directly comparable financial measures calculated and presented in accordance with United States generally accepted accounting principles, or GAAP.

The backlog of Marine Technology Products related to our Seamap segment as of April 30, 2024 was approximately $31 million compared to approximately $18 million at April 30, 2023.

Rob Capps, MIND’s President and Chief Executive Officer, stated, “We are pleased to report solid results for our fiscal first quarter.  We are particularly encouraged by the improved operating margins.  I think this is a result of our cost containment measures and improved production efficiencies. Our backlog remains strong, over 70% above the year ago amount, and we have a number of customer engagements that we expect to lead to further orders.  With our strong backlog, improved cost structure, current visibility, and favorable macroeconomic tailwinds, we expect another profitable fiscal year for MIND with increased revenue and Adjusted EBITDA as compared to fiscal 2024. As expected, we saw increased working capital requirements in the first quarter, which utilized some of our existing liquidity. Managing our liquidity and increased working capital requirements remain a focus for us,” concluded Capps.

CONFERENCE CALL

Management has scheduled a conference call for Tuesday, June 11, 2024 at 9:00 a.m. Eastern Time (8:00 a.m. Central Time) to discuss the Company’s fiscal 2025 first quarter results.  To access the call, please dial (412) 902-0030 and ask for the MIND Technology call at least 10 minutes prior to the start time.  Investors may also listen to the conference live on the MIND Technology website, http://mind-technology.com, by logging onto the site and clicking “Investor Relations”. A telephonic replay of the conference call will be available through June 18, 2024 and may be accessed by calling (201) 612-7415 and using passcode 13746964#.  A webcast archive will also be available at http://mind-technology.com shortly after the call and will be accessible for approximately 90 days.  For more information, please contact Dennard Lascar Investor Relations by email at MIND@dennardlascar.com.

ABOUT MIND TECHNOLOGY

MIND Technology, Inc. provides technology to the oceanographic, hydrographic, defense, seismic and security industries.  Headquartered in The Woodlands, Texas, MIND has a global presence with key operating locations in the United States, Singapore, Malaysia, and the United Kingdom.  Its Seamap unit designs, manufactures and sells specialized, high performance, marine exploration and survey equipment. 

Forward-looking Statements

Certain statements and information in this press release concerning results for the quarter ended April 30, 2024 may constitute “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. All statements contained in this press release other than statements of historical fact, including statements regarding our future results of operations and financial position, our business strategy and plans, and our objectives for future operations, are forward-looking statements. The words “believe,” “expect,” “anticipate,” “plan,” “intend,” “should,” “would,” “could” or other similar expressions are intended to identify forward-looking statements, which are generally not historical in nature.  These forward-looking statements are based on our current expectations and beliefs concerning future developments and their potential effect on us.  While management believes that these forward-looking statements are reasonable as and when made, there can be no assurance that future developments affecting us will be those that we anticipate.  All comments concerning our expectations for future revenues and operating results are based on our forecasts of our existing operations and do not include the potential impact of any future acquisitions or dispositions.  Our forward-looking statements involve significant risks and uncertainties (some of which are beyond our control) and assumptions that could cause actual results to differ materially from our historical experience and our present expectations or projections. These risks and uncertainties include, without limitation, reductions in our customers’ capital budgets, our own capital budget, limitations on the availability of capital or higher costs of capital and volatility in commodity prices for oil and natural gas.

For additional information regarding known material factors that could cause our actual results to differ from our projected results, please see our filings with the SEC, including our Annual Report on Form 10-K, Quarterly Reports on Form 10-Q and Current Reports on Form 8-K.

Readers are cautioned not to place undue reliance on forward-looking statements, which speak only as of the date hereof.  We undertake no obligation to publicly update or revise any forward-looking statements after the date they are made, unless required by law, whether as a result of new information, future events or otherwise. All forward-looking statements included in this press release are expressly qualified in their entirety by the cautionary statements contained or referred to herein.

Non-GAAP Financial Measures

Certain statements and information in this press release contain non-GAAP financial measures. Generally, a non-GAAP financial measure is a numerical measure of a company’s performance, financial position, or cash flows that either excludes or includes amounts that are not normally excluded or included in the most directly comparable measure calculated and presented in accordance with United States generally accepted accounting principles, or GAAP.  Company management believes that these non-GAAP financial measures, when considered together with the GAAP financial measures, provide information that is useful to investors in understanding period-over-period operating results separate and apart from items that may, or could, have a disproportionately positive or negative impact on results in any particular period. Company management also believes that these non-GAAP financial measures enhance the ability of investors to analyze the Company’s business trends and to understand the Company’s performance. In addition, the Company may utilize non-GAAP financial measures as guides in its forecasting, budgeting, and long-term planning processes and to measure operating performance for some management compensation purposes. Any analysis of non-GAAP financial measures should be used only in conjunction with results presented in accordance with GAAP.  Reconciliation of Backlog, which is a non-GAAP financial measure, is not included in this press release due to the inherent difficulty and impracticality of quantifying certain amounts that would be required to calculate the most directly comparable GAAP financial measures.

-Tables to Follow-

MIND TECHNOLOGY, INC.

CONDENSED CONSOLIDATED BALANCE SHEETS

(in thousands, except per share data)

(unaudited)

April 30, 2024

January 31, 2024

ASSETS

Current assets:

Cash and cash equivalents

$

924

$

5,289

Accounts receivable, net of allowance for credit losses of $332 at each of April 30, 2024 and January 31, 2024

9,412

6,566

Inventories, net

16,161

13,371

Prepaid expenses and other current assets

3,014

3,113

Total current assets

29,511

28,339

Property and equipment, net

791

818

Operating lease right-of-use assets

1,725

1,324

Intangible assets, net

2,714

2,888

Deferred tax asset

122

122

Total assets

$

34,863

$

33,491

LIABILITIES AND STOCKHOLDERS’ EQUITY

Current liabilities:

Accounts payable

$

1,703

$

1,623

Deferred revenue

561

203

Accrued expenses and other current liabilities

5,303

5,586

Income taxes payable

1,928

2,114

Operating lease liabilities – current

728

751

Total current liabilities

10,223

10,277

Operating lease liabilities – non-current

997

573

Total liabilities

11,220

10,850

Stockholders’ equity:

Preferred stock, $1.00 par value; 2,000 shares authorized; 1,683 shares issued and outstanding at each of April 30, 2024 and January 31, 2024

37,779

37,779

Common stock, $0.01 par value; 40,000 shares authorized; 1,406 shares issued at April 30, 2024 and January 31, 2024

14

14

Additional paid-in capital

113,169

113,121

Accumulated deficit

(127,353)

(128,307)

Accumulated other comprehensive gain

34

34

Total stockholders’ equity

23,643

22,641

Total liabilities and stockholders’ equity

$

34,863

$

33,491

 

MIND TECHNOLOGY, INC.

CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS

(in thousands, except per share data)

(unaudited)

For the Three Months Ended April 30,

2024

2023

Revenues:

Sales of marine technology products

$

9,678

$

10,597

Cost of sales:

Sales of marine technology products

5,460

6,061

Gross profit

4,218

4,536

Operating expenses:

Selling, general and administrative

2,759

3,306

Research and development

462

478

Depreciation and amortization

267

333

Total operating expenses

3,488

4,117

Operating income

730

419

Other income (expense):

Interest expense

(204)

Other, net

469

72

Total other income (expense)

469

(132)

Income from continuing operations before income taxes

1,199

287

Provision for income taxes

(245)

(411)

Net income (loss) from continuing operations

954

(124)

Loss from discontinued operations, net of income taxes

(116)

Net income (loss)

$

954

$

(240)

Preferred stock dividends – declared

Preferred stock dividends – undeclared

(947)

(947)

Net income (loss) attributable to common stockholders

$

7

$

(1,187)

Net income (loss) per common share – Basic and Diluted

Continuing operations

$

$

(0.76)

Discontinued operations

$

$

(0.08)

Net income (loss)

$

$

(0.84)

Shares used in computing net income (loss) per common share:

Basic and diluted

1,406

1,406

 

MIND TECHNOLOGY, INC.

CONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS

(in thousands)

(unaudited)

For the Three Months Ended April 30,

2024

2023

Cash flows from operating activities:

Net income (loss)

$

954

$

(240)

Adjustments to reconcile net income (loss) to net cash used in operating activities:

Depreciation and amortization

267

481

Stock-based compensation

48

50

Provision for inventory obsolescence

23

Gross profit from sale of other equipment

(457)

(138)

Changes in:

Accounts receivable

(2,837)

(3,462)

Unbilled revenue

(10)

11

Inventories

(2,812)

979

Prepaid expenses and other current and long-term assets

100

1,308

Income taxes receivable and payable

(186)

206

Accounts payable, accrued expenses and other current liabilities

277

(2,788)

Deferred revenue and customer deposits

(120)

606

Net cash used in operating activities

(4,753)

(2,987)

Cash flows from investing activities:

Purchases of property and equipment

(66)

(57)

Sale of other equipment

457

138

Net cash provided by investing activities

391

81

Cash flows from financing activities:

Net proceeds from short-term loan

2,945

Net cash provided by financing activities

2,945

Effect of changes in foreign exchange rates on cash and cash equivalents

(3)

(2)

Net change in cash and cash equivalents

(4,365)

37

Cash and cash equivalents, beginning of period

5,289

778

Cash and cash equivalents, end of period

$

924

$

815

 

MIND TECHNOLOGY, INC.

Reconciliation of Net Income (Loss) and Net Cash Used in Operating Activities to EBITDA and

Adjusted EBITDA from Continuing Operations

(in thousands)

(unaudited)

For the Three Months Ended April 30,

2024

2023

Reconciliation of Net income (loss) to EBITDA and Adjusted EBITDA from continuing operations

(in thousands)

Net income (loss)

$

954

$

(240)

Interest expense, net

204

Depreciation and amortization

267

481

Provision for income taxes

245

411

EBITDA (1)

1,466

856

Stock-based compensation

48

50

Income from discontinued operations net of depreciation and amortization

(32)

Adjusted EBITDA from continuing operations (1)

$

1,514

$

874

Reconciliation of Net Cash Used in Operating Activities to EBITDA

Net cash used in operating activities

$

(4,753)

$

(2,987)

Stock-based compensation

(48)

(50)

Provision for inventory obsolescence

(23)

Changes in accounts receivable (current and long-term)

2,847

3,451

Interest paid, net

204

Taxes paid, net of refunds

430

189

Gross profit from sale of other equipment

457

138

Changes in inventory

2,812

(979)

Changes in accounts payable, accrued expenses and other current liabilities and deferred revenue

(157)

2,182

Changes in prepaid expenses and other current and long-term assets

(100)

(1,308)

Other

1

16

EBITDA (1)

$

1,466

$

856

 

1.  EBITDA and Adjusted EBITDA are non-GAAP financial measures. EBITDA is defined as net income before (a) interest income and interest expense, (b) provision for (or benefit from) income taxes and (c) depreciation and amortization. Adjusted EBITDA excludes non-cash foreign exchange gains and losses, stock-based compensation, impairment of intangible assets, other non-cash tax related items and non-cash costs of lease pool equipment sales. We consider EBITDA and Adjusted EBITDA to be important indicators for the performance of our business, but not measures of performance or liquidity calculated in accordance with GAAP. We have included these non-GAAP financial measures because management utilizes this information for assessing our performance and liquidity, and as indicators of our ability to make capital expenditures, service debt and finance working capital requirements and we believe that EBITDA and Adjusted EBITDA are measurements that are commonly used by analysts and some investors in evaluating the performance and liquidity of companies such as us. In particular, we believe that it is useful to our analysts and investors to understand this relationship because it excludes transactions not related to our core cash operating activities. We believe that excluding these transactions allows investors to meaningfully trend and analyze the performance of our core cash operations. EBITDA and Adjusted EBITDA are not measures of financial performance or liquidity under GAAP and should not be considered in isolation or as alternatives to cash flow from operating activities or as alternatives to net income as indicators of operating performance or any other measures of performance derived in accordance with GAAP. In evaluating our performance as measured by EBITDA, management recognizes and considers the limitations of this measurement. EBITDA and Adjusted EBITDA do not reflect our obligations for the payment of income taxes, interest expense or other obligations such as capital expenditures. Accordingly, EBITDA and Adjusted EBITDA are only two of the measurements that management utilizes. Other companies in our industry may calculate EBITDA or Adjusted EBITDA differently than we do and EBITDA and Adjusted EBITDA may not be comparable with similarly titled measures reported by other companies.

 

Contacts:

Rob Capps, President & CEO

MIND Technology, Inc.

281-353-4475

Ken Dennard / Zach Vaughan

Dennard Lascar Investor Relations

713-529-6600

MIND@dennardlascar.com

 

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SOURCE MIND Technology, Inc.

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Compunnel Unveils State-of-the-Art Noida Office: A Strategic Milestone in AI-Led Transformation and Innovation Ecosystem

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New flagship facility positions India center as AI innovation powerhouse; signals strategic shift to agentic AI across all business operations

NOIDA, India, May 5, 2026 /PRNewswire/ — Compunnel today unveiled its new state-of-the-art office in Noida Sector 142, covering over 1,35,000 sq ft of built-up area, marking a transformative milestone in the company’s strategic repositioning as an AI-led transformation company. More than a facility expansion, this launch represents Compunnel’s evolution from a trusted consulting and technology services provider into a comprehensive AI-native enterprise partner – leveraging agentic AI approaches across intelligent workforce solutions, digital transformation, and cybersecurity services for global enterprises.

The cutting-edge workspace featuring an on-site gym, modern cafeteria, advanced digital infrastructure, air quality control systems, and innovative design – is engineered to attract and nurture world-class talent while serving as an AI innovation hub. The facility will also house InfoPro Learning, a leader in corporate learning solutions, strengthening the collaborative ecosystem for talent development and enterprise training excellence.

A STRATEGIC INFLECTION POINT FOR GROWTH AND DIVERSIFICATION

Compunnel’s strategic shift towards AI-led operations is fundamentally reshaping how the company serves enterprises and positions itself for exponential growth:

Intelligent Workforce Solutions Reimagined: Compunnel’s strategic investment in Eximius – an agentic AI hiring platform – exemplifies the company’s shift towards autonomous intelligence in talent acquisition. By leveraging AI agents that autonomously match talent, predict hiring needs, and accelerate placements, Compunnel is positioned to significantly advance its #48 ranking among the Top 50 Staffing Firms in the USA. Complementing this, OneGuru – Infopro Learning’s agentic platform for the complete ‘hire to retire’ employment lifecycle, establishes the company as a formidable contender in the HCMS/HRIS market, delivering AI-driven workforce management from onboarding to succession planning.

Security, Risk, and Transformation Solutions: In an era where AI-powered threats evolve faster than traditional defenses, Compunnel is embedding living intelligence into enterprise security frameworks. The company’s modern approach helps organizations transform into a more mature, resilient, and risk-reduced state by leveraging advanced workflows to predict risks, proactively dismantle threats, and turn security from a cost center into a competitive advantage. This is complemented by strong capabilities across privacy and compliance-driven risk management, enabling organizations to protect sensitive data, meet regulatory requirements, and strengthen enterprise-wide governance and risk posture.

Digital Transformation Architected for AI-First Operations: Compunnel Digital is an AI-native digital engineering group built for the enterprises redefining what’s possible in Financial Services, Healthcare & Life Sciences, Consumer, Retail, and Manufacturing. It doesn’t layer AI onto legacy workflows – it architects intelligent systems from the ground up. Powered by Compunnel AI-OS, the company’s AI-first platform, Compunnel designs digital ecosystems where autonomous agents accelerate delivery, data fabrics power real-time decisions, and machine intelligence works alongside human expertise – turning disruption into competitive advantage.

LEADERSHIP VISION: TECHNOLOGY, TALENT, TRAINING, AND TRANSFORMATION

“Technology – and specifically agentic AI – is the backbone of everything we do at Compunnel. This new center amplifies that engine, bringing together AI innovation, advanced analytics, and our growing portfolio of AI-driven companies under one roof,” said Andy Gaur, CEO of Compunnel. “From Eximius transforming how we staff enterprises, to OneGuru revolutionizing HCMS, to incubating the next generation of AI startups – this workplace represents our commitment to leading, not following, the AI transformation. As we serve enterprise clients globally, this is where breakthrough thinking meets breakthrough execution.”

“For technology and business professionals, the new facility represents more than a workplace. It’s a launchpad for career acceleration. The Noida office will serve as a center for talent development, offering opportunities to work on global projects spanning talent solutions, cloud modernization, data and AI, cybersecurity, and digital engineering for Fortune enterprises across sectors such as banking, healthcare, manufacturing, insurance, government, and more,” said Rakesh Shah, President of Compunnel.

ABOUT COMPUNNEL

Founded in 1994, Compunnel delivers AI-driven workforce solutions, digital transformation, and cybersecurity services to global enterprises. With 30+ delivery centers across the U.S. and global R&D hubs in Canada, Europe, and India, Compunnel serves 23% of Fortune enterprises. Ranked #48 on SIA’s Largest Staffing Firms in the United States and recognized 12 times on the Inc. 5000 list, Compunnel combines deep domain expertise with intelligent automation to accelerate enterprise velocity and build future-ready operations. Learn more at www.compunnel.com.

ABOUT INFOPRO LEARNING

An offshoot of Compunnel, Infopro Learning is a global learning solutions partner that helps organizations transform their workforce development from strategy to scale. For 30 years, they have partnered with the world’s largest and most reputable companies, delivering Managed Learning Services, Leadership Development, Strategic Advisory, and Content Development solutions. Leveraging AI-driven innovation, they help organizations deliver greater impact while optimizing costs. Learn more at www.infoprolearning.com.

ABOUT ONEGURU

OneGuru is an AI-powered talent development platform that improves employee performance by taking learning out of the classroom and into the flow of work. Every employee will get access to a dedicated AI-Agent, equipped with insight from the world’s greatest coaches and the data that drives your business and people forward (HRIS, Performance, LMS). Unlike most agents, OneGuru is designed to be proactive, nudging your team to build their skills, build their careers, and build your business. Learn more at https://oneguru.ai/.

Media Contact:
Email: pr@compunnel.com

Photo: https://mma.prnewswire.com/media/2971872/Compunnel_Noida.jpg

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SUPCON Showcases the Path to Autonomous Operations with Software-defined Controls, Large Industrial AI models and Agentic AI Platforms at Hannover Messe 2026

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HANNOVER, Germany, May 5, 2026 /CNW/ — At Hannover Messe 2026, SUPCON (688777.SH, SUPCON.SW), a global leader in industrial automation and AI, demonstrated how the process industry can move beyond simple data analysis to real-time and autonomous execution. By unveiling its latest advancements in Agentic AI and software-defined automation, SUPCON provided a tangible roadmap for the transition to fully autonomous operating plants.

A central theme of the showcase was bridging the industry’s “execution gap”. While many plants generate vast amounts of data, the challenge remains in acting on that data in a timely, reliable manner. SUPCON’s integrated solution featuring the Universal Control System (UCS), Time-series Pre-trained Transformer (TPT2), and UNS-based IIOT Data Platform (Tier0), enables industrial plants to not only analyze information but to execute closed-loop optimization in real time.

“Industrial AI has reached a critical turning point. It is no longer just about generating insights, but about embedding them within closed-loop controls to achieve peak performance,” said Kenneth Lim, Director of Strategy and Marketing at SUPCON International Business. “Our role is to provide the industry with an open, reliable foundation that allows our customers to scale at their own pace, ensuring that today’s investments remain future-proof for decades of innovation ahead.”

Technical Keynote Highlights: The Path to Autonomous Operating Plants

Through a series of technical keynote sessions, SUPCON reframed autonomy not as a single hardware upgrade, but as a strategic operating model designed to empower the modern workforce.

Real-time Field Intelligence (Smart Field Instrumentation & Ethernet-APL): Moving beyond legacy protocols like HART, SUPCON showcased how Ethernet-APL brings high-speed connectivity directly to the field, turning passive instruments into active sources of real-time intelligence.Building the Unified Namespace (Tier0): To eliminate the “integration tax,” SUPCON introduced Tier0, a UNS-based platform using MQTT pub/sub and semantic structures to create a shared, event-driven data layer that prevents vendor lock-in and unifies fragmented systems.Agentic Application Development (AppBuilder): The Tier0 AppBuilder demonstrated how factory teams can build industrial applications up to 10x faster using natural language and domain-aware agents, moving from costly customization to rapid, user-centric creation.The Autonomous Workforce (Robotics & AI): By utilizing autonomous robots as “mobile sensors” for hazardous tasks like leak detection, SUPCON proved that technology isn’t about replacing humans, but about liberating engineers for high-value creative problem-solving and strategic oversight.Software-Defined Controls: The Universal Control System (UCS) represents a new era of efficiency. By revolutionizing traditional controls architecture, it reduces physical footprints and cabling by up to 90%, directly helping partners meet carbon neutrality goals without sacrificing productivity.Time-Series Pre-Trained Transformers (TPT): Unlike standard Large Language Models, the TPT is purpose-built for industrial time-series data. It consolidates fragmented use cases like equipment health forecasting and bottleneck analysis into a single AI layer for faster scaling.Autonomous Operating Plants (AOP): SUPCON framed “Zero-Touch Operations” not as a single hardware upgrade, but as a total strategic transformation. Addressing the “hidden” barriers of fragmented data and multi-OEM complexity, Autonomous Operating Plants (AOP) are achievable when open architectures and next-generation control systems are designed as a unified foundation from the outset.Self-Optimizing Plants via Closed-Loop AIO: SUPCON introduced Artificial Intelligence Optimization (AIO) as a revolutionary step beyond traditional DCS and APC systems. By enabling AI to learn from real-time plant data and feed optimized decisions back into control systems autonomously. This closed-loop approach serves as a practical pathway for manufacturers to optimize throughput, energy, and safety simultaneously without manual intervention.

A Partner in Industrial Evolution

By connecting smart field instrumentation, open data platforms, and software-defined control, SUPCON is providing the industry with a practical blueprint for safer, more resilient, and self-optimizing plants. The vision presented at Hannover Messe 2026 establishes that autonomous operations are achievable today when open architectures and next-generation intelligence are designed as a unified foundation.

Resources & Media

Resource Hub & Presentations: global.supcon.com/events/hannover-messe-2026Highlights Video: View on YouTubeNext Event: Join us at Gastech 2026 | 14–17 September 2026 | Bangkok, Thailand

About SUPCON

SUPCON (688777.SH, SUPCON.SW) is a global provider of industrial automation and industrial AI, offering control systems, digital platforms, robotics, and software solutions that power the world’s process and energy industries. Headquartered in Hangzhou, China, with the SUPCON Internal Business Headquarters in Singapore and the regional hubs around the globe, SUPCON is well-positioned to elevate industrial intelligence and drive customer success. Trusted by more than 250 leading enterprises and 39,000+ customers worldwide across major process industries such as oil & gas, chemical and petrochemical, as well as other industries such as power, pulp and paper, building materials, and more, SUPCON is driving the evolution from automation to autonomy–enabling safer, smarter, and more sustainable industrial operations.

For more information, please visit https://global.supcon.com/

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SOURCE SUPCON International Business Pte Ltd

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PwC and OpenAI Build a First-of-Its-Kind OpenAI Native Finance Function

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The collaboration aims to help redefine the future of finance by combining agentic AI with human supervision, enabling finance teams to govern, improve, and scale AI agents over time.

NEW YORK, May 5, 2026 /PRNewswire/ — PwC today announced an expanded collaboration with OpenAI to help create the first of its kind AI native finance function at enterprise scale, combining agentic AI with human supervision to reshape how finance work gets done.

Together, PwC and OpenAI are building AI agents around the core operating rhythms of finance, from planning, forecasting, and reporting to procurement, payments, treasury, tax, and the accounting close. What sets this collaboration apart is its focus on building in the real world, not just designing in theory. For example, PwC and OpenAI are building a procurement agent inside the OpenAI finance organization, and are applying those learnings to additional agents across core finance workflows. That hands-on model is intended to speed innovation, prove the value of an AI native finance function in practice at OpenAI, and continuously improve the offering based on learnings.

Powered by OpenAI native finance capabilities and PwC’s deep expertise in finance, risk, and transformation, the collaboration is intended to move finance beyond task automation toward an operating model where AI agents can execute complex work, collaborate across workflows, and support faster, more insight-driven decisions.

“Finance is at an inflection point, where organizations are moving from process efficiency to intelligent, decision-centric operations,” said Tyson Cornell, US Advisory Leader. “Through our collaboration with OpenAI, we’re helping clients embed agentic AI into the core fabric of the finance function, enabling more proactive insights, stronger controls, and a more adaptive operating model.”

In this new operating model, the role of finance professionals evolves from primarily executing processes to supervising, governing, and improving AI agents over time. Finance teams remain accountable for judgment, controls, and outcomes, while helping define the guardrails, policies, and organizational memory that allow agents to perform more effectively and responsibly. Through MCPs and reusable skills, agents can connect to enterprise systems with the right controls, produce more reliable outputs, and follow consistent operating patterns across finance processes.

At the same time, domain experts can use Codex and OpenAI emerging product surfaces to build bespoke applications for targeted finance workflows — accelerating solutions for accruals, close activities, reconciliations, reporting, and other operational needs without relying solely on traditional software development cycles. This is the foundation of a new kind of finance function: AI native by design, human-governed actions, continuously improving over time.

“Finance has always been about judgment, trust, and making decisions in environments filled with complexity and constant change. AI gives finance leaders a much deeper ability to see around corners and act faster,” said Sarah Friar, CFO at OpenAI. “I believe we’re now entering a moment where the finance function itself gets reimagined to shape decisions in real time. The opportunity here is far bigger than efficiency, it’s about giving finance leaders the tools to operate with greater foresight, agility, and strategic impact across the business.”

This collaboration reflects a broader shift toward an OpenAI native finance operating model, where work begins with intent and is executed by AI agents acting across systems, workflows, and data environments. Through hands-on collaboration, PwC and OpenAI are creating a continuous feedback loop between emerging innovation and real-world execution. This model allows both organizations to rapidly test, refine, and scale capabilities in ways that are practical, enterprise-ready, and closely aligned to the evolving priorities of CFOs.

Co-developing the future of Intelligent Enterprise for Finance

The focus of this collaboration is on practical, high-value workflows where AI agents can execute and coordinate work under human supervision. This includes:

Procurement agents that guide intake, create requisitions, answer policy questions, record item receipt and support procurement workflowsSpecialized agents that accelerate contract review, perform risk assessments, and power other autonomous finance operationsBespoke applications that help automate accruals, accelerate close activities, streamline reporting, and deliver customized dashboards — enabling domain experts to build targeted solutions around enterprise platforms faster and better serve stakeholders.

By leveraging Workspace Agents, Codex and OpenAI emerging product surfaces, the collaboration aims to show how finance teams can move beyond point automation toward an enterprise operating model where agents run repeatable workflows, surface exceptions, and continuously improve how work gets done.

PwC is proud to collaborate with OpenAI in this way within the finance domain, helping shape how an AI native finance function can be deployed with the governance, transparency, and control required in enterprise environments. Together, PwC and OpenAI are translating emerging AI capabilities into enterprise-ready solutions designed to work within existing finance systems, controls, and operating models.

You can learn more about how PwC and OpenAI are helping drive impact here: https://www.pwc.com/us/en/technology/alliances/openai.html

About PwC 

At PwC, we help clients build trust and reinvent so they can turn complexity into a competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

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SOURCE PwC

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