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Mynd Announces Fiscal Year 2024 Results

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Highlights Include Sale of a Non-strategic Business Unit, Significant Reduction of Debt, and Implementation of a Share Repurchase Program to Strengthen the Company and Enhance Long Term Shareholder Value 

SEATTLE, March 26, 2025 /PRNewswire/ — Mynd.ai, Inc. (the “Company” or “Mynd”) (NYSE American: MYND) today announced financial results for the fiscal year ended December 31, 2024.

Revenue of $267.4 million for the full year, compared to $411.8 million in the prior year with the decrease primarily driven by the headwinds in the overall education market due to normalization to pre-pandemic levels

Gross Margin improved 40 basis points versus 2023 to 24.8%, largely due to optimization of cost of materials, warranty, and freight costs

Operating loss improved by $8.0 million to $38.0 million, as compared to $46.0 million in 2023

Net loss from continuing operations, before income taxes totaled $35.7 million, a $12.7 million improvement compared to 2023

Cash balance at year-end of $75.3 million, compared to $87.8 million in 2023

Reduced outstanding indebtedness at year-end by $21.0 million

Repurchased 151,923 American Depositary Shares, representing 1,519,230 ordinary shares, pursuant to our share repurchase program

“We are very pleased with the progress our team made during 2024, our first full year as a public company,” said Vin Riera, Chief Executive Officer. “We feel that completing the sale of our non-strategic early childhood development business unit in October 2024, paying down debt, optimizing our cost structure, and initiating a share repurchase program were all meaningful steps towards strengthening our company. Despite a number of industry-wide challenges in the education sector stemming from inflation, threat of tariffs and uncertainty around Federal funding for education, we were able to capitalize on our brand loyalty, significant install base of over one million classrooms and strong distributor and partner network to maintain our strong market presence.”  

Arthur Giterman, Chief Financial Officer, added, “Our financial performance in 2024 reflects our commitment to improving operational efficiency to help combat significant industry headwinds impacting our interactive flat panel display business. Year over year, the Company made improvements in our gross margin and significantly reduced both our operating loss as well as our net loss from operations. Although we expect economic headwinds to continue during 2025, we are actively responding by continuing to optimize our operating cost structure, enhancing our go-to-market strategy and expanding our portfolio of product offerings. We are excited about the warm reception that our recently launched ActivPanel 10 and its modular infrastructure has received, and believe that providing our customers with the ability to select their preferred operating system will better position the Company to more effectively compete in the market.”

Forward-Looking Statements

This press release contains “forward-looking statements,” as defined by federal securities laws. Forward-looking statements reflect Mynd’s current expectations and projections about future events at the time and thus involve uncertainty and risk. The words “believe,” “expect,” “anticipate,” “will,” “could,” “would,” “should,” “may,” “plan,” “estimate,” “intend,” “predict,” “potential,” “continue,” “optimistic,” and the negatives of these words and other similar expressions generally identify forward looking statements. Such forward-looking statements are subject to various risks and uncertainties, including those described under the section entitled “Risk Factors” in Mynd’s Annual Report on Form 20-F, filed with the SEC on March 26, 2025, as such factors may be updated from time to time in Mynd’s periodic filings with the SEC, which are accessible on the SEC’s website at www.sec.gov. Accordingly, there are or will be important factors that could cause actual outcomes or results to differ materially from those indicated in these statements. These factors should not be construed as exhaustive and should be read in conjunction with the other cautionary statements that are included in this release and in Mynd’s filings with the SEC. While forward-looking statements reflect Mynd’s good faith beliefs, they are not guarantees of future performance. Mynd disclaims any obligation to publicly update or revise any forward-looking statement to reflect changes in underlying assumptions or factors, new information, data or methods, future events or other changes after the date of this press release, except as required by applicable law. You should not place undue reliance on any forward-looking statements, which are based only on information currently available to Mynd (or to third parties making the forward-looking statements).

Discussion of non-GAAP Financial Measures

We believe that providing non-GAAP (“Generally Accepted Accounting Principles”) information to investors, in addition to the GAAP presentation, allows investors to view the financial results in the way management views the operating results. We further believe that providing this information allows investors not only to better understand our financial performance, but more importantly, to evaluate the efficacy of the methodology and information used by management to evaluate and measure such performance. The non-GAAP information included in this press release should not be considered superior to, or a substitute for, financial statements prepared in accordance with GAAP.

We utilize a number of different financial measures, both GAAP and non-GAAP, in analyzing and assessing the overall performance of the business, for making operating decisions and for forecasting and planning for future periods. Our annual financial plan is prepared both on a GAAP and non-GAAP basis, and the non-GAAP annual financial plan is approved by our board of directors. Continuous budgeting and forecasting for revenue and expenses are conducted on a consistent non-GAAP basis, in addition to GAAP, and actual results on a non-GAAP basis are assessed against the non-GAAP annual financial plan. In addition, and as a consequence of the importance of these measures in managing the business, we use non-GAAP measures and results in the evaluation process to establish management’s compensation. For example, our annual bonus program payments are based in part upon the achievement of consolidated revenue and Adjusted EBITDA targets.

About Mynd.ai, Inc.

Seattle-based Mynd is a global leader in interactive technology offering best-in-class hardware and software solutions that help organizations create and deliver dynamic content; simplify and streamline teaching, learning, and communication; and facilitate real-time collaboration. Our award-winning interactive displays and software can be found in more than 1 million learning and training spaces across 126 countries. Our global distribution network of more than 4,000 reseller partners and our dedicated sales and support teams around the world enable us to deliver the highest level of service to our customers.

Financial Tables Follow

 

Mynd.ai. Inc.
CONSOLIDATED BALANCE SHEETS
(In thousands of U.S. dollars, except share and per share data, or otherwise noted)

As of December 31,

2024

2023

ASSETS

Current assets:

Cash and cash equivalents

$               75,317

$               87,804

Accounts receivable, net of allowance for credit losses of $211 and $2,599, respectively

30,506

63,736

Inventories

28,638

53,944

Prepaid expenses and other current assets

11,601

14,408

Due from related parties

1,561

1,683

Current assets of discontinued operations

5,590

Total current assets

147,623

227,165

Non-current assets:

Goodwill

44,130

44,928

Property, plant, and equipment, net

14,595

7,037

Intangible assets, net

39,521

43,700

Right-of-use assets

3,448

2,413

Deferred tax assets, net

34

58,035

Other non-current assets

3,268

1,810

Non-current assets of discontinued operations

21,949

Total non-current assets

104,996

179,872

Total assets

$             252,619

$             407,037

LIABILITIES AND SHAREHOLDERS’ EQUITY

Current liabilities:

Accounts payable

$               40,485

$               59,138

Accrued expenses and other current liabilities

45,959

49,134

Loans payable, current

10,931

31,942

Contract liabilities

11,281

14,004

Accrued warranties

15,749

17,871

Lease liabilities, current

1,047

1,618

Due to related parties

4,621

5,061

Current liabilities of discontinued operations

7,404

Total current liabilities

130,073

186,172

Non-current liabilities:

Loans payable, non-current

58,077

64,859

Loans payable, related parties, non-current

5,006

4,670

Contract liabilities, non-current

18,581

21,762

Lease liabilities, non-current

2,761

1,030

Deferred tax liabilities

9,756

Non-current liabilities of discontinued operations

7,950

Total non-current liabilities

94,181

100,271

Total liabilities

224,254

286,443

Shareholders’ equity:

Ordinary shares par value of $0.001; 990,000,000 shares authorized. 456,477,820
shares issued and 454,958,590 shares outstanding as of December 31, 2024.
456,477,820 shares issued and outstanding as of December 31, 2023.

 

10,000,000 shares, $0.001 par value, without designation; none authorized, issued
and outstanding as of December 31, 2024 and 2023.

456

456

Treasury shares, at cost, 1,519,230 and none shares, respectively

(342)

Additional paid-in capital

479,480

473,590

Accumulated other comprehensive income

3,344

3,513

Accumulated deficit

(454,573)

(358,854)

Total Mynd.ai, Inc. shareholders’ equity

28,365

118,705

Non-controlling interest

1,889

Total shareholders’ equity

28,365

120,594

Total liabilities and shareholders’ equity

$             252,619

$             407,037

 

Mynd.ai. Inc.
CONSOLIDATED STATEMENTS OF OPERATIONS
(In thousands of U.S. dollars, except share and per share data, or otherwise noted)

Year Ended December 31,

2024

2023

2022

Revenue

$             267,381

$             411,757

$             584,684

Cost of revenue

201,140

311,272

443,598

Gross profit

66,241

100,485

141,086

Operating expenses, net:

General and administrative

33,427

30,964

34,608

Research and development

25,253

34,604

41,459

Sales and marketing

42,115

51,477

60,848

Transaction-related costs

19,288

502

Restructuring

3,484

10,195

238

Total operating expenses

104,279

146,528

137,655

Operating (loss) income

(38,038)

(46,043)

3,431

Other income (expense):

Interest expense

(10,371)

(4,658)

(1,833)

Interest income

2,659

223

6

Gain on embedded derivative

11,389

432

Gain on forgiveness of debt

4,923

Other (expense) income

(1,384)

1,598

591

Total other income (expense)

2,293

(2,405)

3,687

Net (loss) income from continuing operations, before income taxes

(35,745)

(48,448)

7,118

Income tax (expense) benefit

(68,732)

9,658

25,982

Net (loss) income from continuing operations

(104,477)

(38,790)

33,100

Income (loss) from discontinued operations, net of tax

8,725

(605)

(12,637)

Net (loss) income

(95,752)

(39,395)

20,463

Net (loss) income from continuing operations attributable to non-
controlling interests

Net (loss) income from discontinued operations attributable to
non-controlling interests

(33)

33

Net (loss) income attributable to non-controlling interests

(33)

33

Net (loss) income from continuing operations attributable to
ordinary shareholders

(104,477)

(38,790)

33,100

Net income (loss) from discontinued operations attributable to
ordinary shareholders

8,758

(638)

(12,637)

Net (loss) income attributable to ordinary shareholders

$             (95,719)

$             (39,428)

$               20,463

Net (loss) income per ordinary share

From continuing operations: Basic and Diluted

$                (0.23)

$                (0.09)

$                  0.08

From discontinued operations: Basic and Diluted

$                  0.02

$                (0.00)

$                (0.03)

Total basic and diluted

$                (0.21)

$                (0.09)

$                  0.05

Weighted average shares outstanding used in calculating net (loss)
income per share: Basic and diluted

456,471,923

427,986,755

426,422,220

 

Mynd.ai. Inc.
CONSOLIDATED STATEMENTS OF COMPREHENSIVE (LOSS) INCOME
(in thousands)

Year Ended December 31,

2024

2023

2022

Net (loss) income

$             (95,752)

$             (39,395)

$               20,463

Other comprehensive (loss) income, net of tax of nil:

Change in foreign currency translation reserve

497

(1,033)

(3,367)

Release of foreign currency translation reserve to net loss as a
result of disposition

(566)

Total comprehensive (loss) income

(95,821)

(40,428)

17,096

Less: comprehensive income attributable to non-controlling
interest

67

33

Comprehensive (loss) income attributable to Mynd.ai Inc.

$             (95,888)

$             (40,461)

$               17,096

 

Mynd.ai. Inc.
CONSOLIDATED STATEMENTS OF CASH FLOWS
(in thousands)

Year Ended December 31,

2024

2023

2022

CASH FLOWS FROM OPERATING ACTIVITIES:

Net (loss) income

$              (95,752)

$              (39,395)

$                20,463

(Income) loss from discontinued operations, net of tax

(8,725)

605

12,637

Net (loss) income from continuing operations

(104,477)

(38,790)

33,100

Adjustments to reconcile net (loss) income from continuing operations to net
cash (used in) provided by operating activities:

Depreciation and amortization

5,698

4,973

4,520

Deferred taxes

67,669

(10,828)

(25,982)

Non-cash lease expense

1,737

1,958

1,818

Non-cash interest expenses

4,844

325

Gain on forgiveness of debt

(4,923)

Share-based compensation

3,698

Amortization of RDEC credit

(1,182)

(839)

(460)

Accrued tax credit RDEC

(1,732)

Change in fair value of derivative liability

(11,389)

(432)

Increase in inventory provision

4,630

3,951

Write-off of prepaid subscriptions

5,668

Other

90

71

30

Change in operating assets and liabilities:

Accounts receivable

33,365

(679)

25,346

Inventories

25,251

54,734

(20,003)

Prepaid expenses and other assets

1,270

(5,482)

701

Prepaid subscriptions

1,632

(7,300)

Due from related parties

533

482

(4,376)

Accounts payable

(17,675)

(23,651)

(1,820)

Accrued expenses and other liabilities

(2,439)

(1,329)

(10,225)

Accrued warranties

(2,037)

3,883

3,266

Due to related parties

1,491

1,083

3,469

Contract liabilities

(5,743)

6,966

7,779

Lease obligations – operating leases

(1,579)

(1,903)

(2,084)

Net cash (used in) provided by operating activities – continuing operations

(875)

740

6,807

Net cash provided by (used in) operating activities – discontinued operations

1,661

(3,098)

(12,079)

Net cash provided by (used in) provided by operating activities

786

(2,358)

(5,272)

CASH FLOWS FROM INVESTING ACTIVITIES:

Acquisition of property, plant and equipment

(1,283)

(389)

(829)

Internal-use software development costs

(8,465)

(4,434)

(1,028)

 Repayment (issuance) of loan receivable, related party

8,019

(7,919)

Proceeds from disposition of GEH Singapore

20,000

Acquisition of businesses, net of cash

10,375

(6,000)

Net cash provided by (used in) investing activities – continuing operations

10,252

13,571

(15,776)

Net cash used in investing activities – discontinued operations

(5,942)

5,763

Net cash provided by (used in) investing activities

4,310

19,334

(15,776)

CASH FLOWS FROM FINANCING ACTIVITIES:

Repayment of Revolver

(38,000)

(80,300)

(49,305)

Debt issuance costs paid

(90)

Proceeds from Revolver

17,000

62,000

63,000

Proceeds from convertible note

64,884

Contingent consideration payments

(1,007)

(2,174)

Repayment of Paycheck Protection Program Loan

(192)

(192)

(5)

Repayment of NetDragon group loans

(3,210)

Proceeds from NetDragon group loans

219

869

Share repurchase

(342)

Net cash (used in) provided by financing activities – continuing operations

(22,631)

44,437

11,349

Net cash provided by financing activities – discontinued operations

Net cash (used in) provided by financing activities

(22,631)

44,437

11,349

Net change in cash

(17,535)

61,413

(9,699)

Cash and cash equivalents, beginning of year

91,784

29,312

40,508

Exchange rate effects

1,068

1,059

(1,497)

Cash and cash equivalents, end of year

$                75,317

$                91,784

$                29,312

Supplemental disclosure of non-cash investing and financing activities
transactions:

Continuing operations:

Convertible notes issued in exchange for accrued PIK interest

$                  3,309

$                      —

$                      —

Decrease in goodwill due to measurement period adjustments relating to
business acquisition, net

$                  1,228

$                      —

$                      —

Lease assets acquired in exchange for lease liabilities

$                  2,838

$                      —

$                      —

Forgiveness of related party payables

$                  2,412

$                      —

$                      —

Accrued purchase price related to acquisition of businesses

$                      —

$                      —

$                  1,688

Accrued value of earnout related to acquisition of businesses

$                      —

$                      —

$                    377

Noncash consideration transferred for acquisition of businesses

$                      —

$                22,848

$                      —

Discontinued operations:

Lease assets acquired in exchange for lease liabilities

$                  5,044

$                      —

$                      —

Supplemental disclosure of cash transactions:

Cash paid for interest

$                  5,387

$                  5,223

$                      —

Cash received for tax refunds, net

$                  1,397

$                    914

$                    969

Cash flows are presented on a consolidated basis and cash and cash equivalents presented in current assets of discontinued operations in the consolidated balance sheets as of December 31, 2023 were $3,980.

Mynd.ai. Inc.
SUPPLEMENTAL FINANCIAL INFORMATION
Reconciliation of Net Income to Adjusted EBITDA
(in thousands)

Year Ended December 31,

2024

2023

2022

(in thousands)

Net (loss) income

$            (95,752)

$            (39,395)

$             20,463

(Income) loss from discontinued operations, net of tax

(8,725)

605

12,637

Interest expense

10,371

4,658

1,833

Interest income

(2,659)

(223)

(6)

Income tax expense (benefit)

68,732

(9,658)

(25,982)

Depreciation and amortization

5,698

4,973

4,520

Share-based compensation

3,698

Gain on embedded derivative

(11,389)

(432)

Other expense (income), net

1,384

(1,598)

(591)

Transaction-related costs(1)

19,288

502

Restructuring costs(2)

3,484

10,195

238

Litigation costs and penalties(3)

1,021

405

1,046

Gain on forgiveness of debt(4)

(4,923)

Adjusted EBITDA

$            (24,137)

$            (11,182)

$                9,737

(1) Transaction-related costs are non-recurring costs related to one or more acquisitions.

(2) Refers to employee severance costs, contract termination costs, facility restructuring, and business restructuring efforts undertaken by management.

(3) Refers to costs incurred to defend against, opportunistically settle, and establish a reserve for claims associated with litigation, as well as any related penalties incurred for such litigation.

(4) Refers to forgiveness of loan provided by the U.S. Small Business Administration provided under the Payroll Protection Program (PPP).

 

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SOURCE Mynd.ai

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BinBase Launches 2026 BIN Database Featuring 6-11 Digit Waterfall Lookup for High-Precision Payment Routing

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BinBase introduces its upgraded 2026 BIN Database, offering 3.2M+ card ranges, 29 granular data attributes, and extended 8-11 digit accuracy to eliminate false-positives and optimize routing for global fintechs.

MIAMI, July 21, 2026 /PRNewswire-PRWeb/ — BinBase, a provider of payment intelligence and card issuing data, has announced the official release of its updated 2026 BIN Database. Engineered for payment gateways, acquiring banks, fraud prevention platforms, and e-commerce platforms, the updated dataset solves critical routing inaccuracies caused by the industry-wide shift from legacy 6-digit BINs to extended 8-to-11-digit card ranges.

Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the surgical precision developers need for cost-effective payment routing.

Since ISO/IEC 7812 expanded the standard Bank Identification Number (BIN) length to 8 digits, traditional 6-digit lookup tables have struggled to correctly identify modern card profiles. This leads to false positives, misidentified interchange fees, and failed transactions. BinBase addresses this challenge by introducing a multi-tiered database structure supporting up to 11-digit precision, alongside a recommended “Waterfall Lookup Algorithm.”

To ensure 100% routing and verification accuracy, the Waterfall method executes a descending search sequence: checking 11-digit BIN ranges down through 10, 9, 8, 7, and 6 digits until an exact match is resolved.

Key technical specifications of the 2026 BinBase release include:

Over 3.2 Million Card Ranges: Full global coverage including Visa, Mastercard, Amex, Discover, UnionPay, JCB, and regional networks.Extended Precision: Over 88% of the dataset consists of high-precision ranges (8–11 digits) to accurately isolate sub-brands, currencies, and card tiers.29 Granular Attributes: Beyond core issuer data, the database features advanced parameters including Durbin Regulation status, US Debit/ATM network routing (STAR, NYCE), Fast Funds (Visa Direct / Mastercard MoneySend indicators), commercial Level 2/Level 3 data, and digital wallet token ranges (Apple Pay / Google Pay).

“Modern payment processing requires surgical precision,” said a spokesperson for Damiko Inc. “Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the underlying intelligence developers need to build resilient, cost-effective payment infrastructure.”

Developers and payment teams can evaluate the full 29-field database schema, review integration examples, and download a free 2026 sample dataset on the official GitHub repository.

To learn more about full commercial licensing options, instant CSV downloads, and custom API delivery, visit BinBase.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate fraud.

Media Contact

Fedor Lavrikoff, BinBase, 1 +17866133333, sales@binbase.com, htttps://www.binbase.com 

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SOURCE BinBase

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Redington Limited and AutomationEdge Announce Strategic Partnership to Accelerate Enterprise Automation and Agentic AI Adoption

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MUMBAI, India, July 22, 2026 /PRNewswire/ — Redington, a leading technology aggregator and innovation catalyst, and AutomationEdge, a leading Agentic Process Automation platform for global enterprises, have announced a strategic partnership to accelerate the adoption of enterprise automation and Agentic AI. The collaboration brings together Redington’s extensive distribution ecosystem and partner network with AutomationEdge’s enterprise-grade Agentic Process Automation platform to enable faster, scalable, and outcome-driven digital transformation for organizations.

As a part of the partnership, AutomationEdge’s portfolio of AI Agents and automation solutions is now available through the Redington AI Exchange Marketplace, enabling partners and customers to easily discover, evaluate, and deploy enterprise-ready AI solutions. This availability significantly reduces the time required to adopt AI-driven automation and provides organizations with access to proven use cases that can deliver measurable business outcomes.

The partnership is focused on delivering solution-led automation offerings that simplify adoption for enterprises and channel partners. By combining Redington’s go-to-market reach with AutomationEdge’s 10x automation capabilities, the two organizations aim to help businesses move from fragmented automation initiatives to enterprise-wide orchestration—driving efficiency, agility, and operational excellence.

Through this collaboration, both companies will jointly promote pre-built automation and AI Agent solutions across key business functions, including banking operations, insurance processes, IT / HR operations, customer service, and finance functions. These solutions include ready-to-deploy workflows, AI Agents, demonstration environments, and implementation frameworks designed to accelerate deployment and reduce complexity.

The partnership will also include joint go-to-market initiatives such as partner enablement programs, co-branded workshops, solution showcases, and proof-of-concept (PoC) engagements. These initiatives are designed to equip Redington partners with the knowledge, tools, and support needed to successfully position, sell, and implement AI-powered automation solutions for enterprise and mid-market customers.

Sayantan Dev, Global Head, Software Solutions Group, Redington, said, “The next phase of AI adoption will be defined by execution. Through the Redington AI Exchange Marketplace, we are bringing together the technologies and ecosystem needed to help partners deliver real business outcomes at scale. AutomationEdge’s Agentic AI and automation capabilities strengthen our ability to enable customers to accelerate AI adoption with greater speed, governance, and confidence.”

Prasad Likhite, Chief Sales Officer of AutomationEdge, said, “We are delighted to strengthen our partnership with Redington and accelerate the adoption of next-generation enterprise automation and Agentic AI solutions across the market. The availability of AutomationEdge AI Agents through the Redington AI Exchange Marketplace marks an important milestone in democratizing AI-led transformation, enabling enterprises to rapidly scale intelligent automation initiatives with speed, agility, and measurable business impact. At the same time, it creates significant opportunities for partners to drive innovation, unlock new revenue streams, and deliver greater value to their customers.”

The collaboration also emphasizes localized support, implementation expertise, and customer success services, ensuring that organizations can seamlessly deploy, manage, and scale automation initiatives. By leveraging Redington’s strong partner ecosystem and AutomationEdge’s deep expertise in automation and Agentic AI, the partnership is well-positioned to address the evolving needs of modern enterprises.

As organizations increasingly prioritize productivity, operational efficiency, and AI-led transformation, this partnership marks a significant step toward making enterprise automation and Agentic AI more accessible, scalable, and impactful across industries.

 About Redington

Redington Limited (NSE: REDINGTON) (BSE: 532805), a leading technology solutions provider, empowers businesses in their digital transformation journeys. Guided by its brand narrative “Unlock Next”, Redington goes beyond distribution to remove barriers, accelerate digital adoption, and unlock access, growth, trust, efficiency, and impact—helping businesses, communities, and societies embrace what’s next in technology

About AutomationEdge

AutomationEdge is a leading Agentic Process Automation platform for global enterprises. Its platform enables organizations to automate complex business processes, deploy AI Agents at scale, improve operational efficiency, and accelerate digital transformation initiatives across industries.

Media Contact:
Rahul Wandile
rahul.wandile@automationedge.com

 

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Applied Intuition Launches Dana, the Agentic Platform for Physical AI

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New platform pairs agentic AI with the tooling, data, infrastructure and domain expertise Applied Intuition has built over nearly a decade to speed the safe development of intelligent machines for the physical world.

Dana is the first agentic platform for building, testing, deploying and operating physical AI systems across industries.Built on nearly a decade of Applied Intuition’s tooling, infrastructure, workflows and engineering expertise, Dana is purpose-built for safety-critical systems operating in the physical world.Dana helps companies build physical AI applications for any industry or use case, from autonomy and software-defined vehicles to fleet operations, robotics, construction, mining and intelligent in-vehicle experiences.Dana has already reduced critical phases of vehicle development from months to days in internal and select customer deployments.

SUNNYVALE, Calif., July 22, 2026 /PRNewswire/ — Applied Intuition, Inc., a leader in physical AI, today announced the launch of Dana, the first agentic platform for building, testing, deploying and operating physical AI systems across industries. Dana combines the power of agentic AI and rapid application development with nearly a decade of Applied Intuition’s tooling, infrastructure and engineering knowledge. The result is a unified system that accelerates the development of intelligent machines in the physical world.

“We believe physical AI will become one of the defining technologies of this century,” said Qasar Younis, co-founder and CEO of Applied Intuition. “Our ambition is to help bring intelligence to a billion machines, and Dana is the platform we built to make that possible.”

Unlike general-purpose AI tools designed primarily for digital workflows, Dana is built for the complexities of machines operating in the physical world. Dana comes with all the platform capabilities needed to build and deploy safety-critical physical AI applications, including data, visualization and tooling, as well as the evaluation, traceability and governance these systems require. The platform was designed to work across industries and with a wide range of use cases, from software-defined vehicle development and advanced driver assistance systems (ADAS) to mining and construction operations, truck fleet management, robotics and intelligent in-vehicle experiences. With Dana, customers can:

Deploy Applied Intuition’s reference applications — spanning autonomy, fleet operations, and more — or build their own.Use both natural language and command-line interfaces to complete complex development tasks more intuitively and accelerate iteration cycles across teams and systems.Integrate the platform with enterprise systems and collaboration tools, like Slack and Jira, helping organizations connect fragmented engineering and operational workflows while embedding agentic capabilities across the development process.

Applied Intuition has used Dana internally since last year, building and delivering solutions on the platform for long-standing customers across automotive, trucking, mining, and agriculture. Dana’s agent-driven workflows have reduced critical phases of vehicle development timelines from months to days in some cases. Applied Intuition has offered limited, early access to select customers, including heavy-equipment manufacturer Komatsu and Isuzu Motors, who is using the platform to accelerate L4 autonomy for its fleet of commercial trucks.

“We’ve been impressed by how Dana can streamline complex engineering workflows and accelerate development,” said Yasuhiro Yazawa, Director, Isuzu Motors Limited, Japan. “Dana gives our engineering teams greater confidence to develop, track and deploy safe autonomous-vehicle capabilities at a much faster pace.”

“Applied Intuition has been a valuable technology partner as we continue advancing the digital capabilities that support the next generation of mining equipment and solutions,” said Peter Salditt, CEO, Komatsu Mining. “Dana represents another step forward, bringing intelligent, agentic capabilities into our engineering workflows to help our teams innovate faster, improve efficiency and ultimately create greater value for our customers’ operations.”

Dana is designed to help companies keep up with the fundamental shift now underway across industries. As autonomous vehicles, robots and industrial systems become more capable, manufacturers need a more integrated way to build, validate and deploy them safely. Dana gives teams a faster path from idea to production, and the confidence to put increasingly intelligent machines into the real world.

The future of AI is physical. Dana was built for it.

To learn more about Dana and Applied Intuition’s physical AI platform, visit AppliedIntuition.com.

About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with nearly two dozen offices across the globe, including in London, Munich, Tokyo, Seoul, and the Washington, D.C. metro area. Learn more at applied.co or press@applied.co.

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SOURCE Applied Intuition, Inc.

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