Technology

Teradata Reports Second Quarter 2026 Financial Results

Published

3 months ago

August 4, 2026

Recurring revenue of $363 million, an increase of 3% as reported and 2% in constant currency(1)GAAP Operating Margin of 11.7%, up 580 basis points from the prior year periodNon-GAAP Operating Margin of 21.5%, up 510 basis points from the prior year period(2)Cash flow from operations of $106 million, up 147% from the prior year periodAdjusted free cash flow of $127 million, up 226% from the prior year period(3)

SAN DIEGO, Aug. 4, 2026 /PRNewswire/ — Teradata (NYSE: TDC) today announced its second quarter 2026 financial results.

“Teradata again delivered a solid quarter, growing total ARR, recurring revenue, and meaningful free cash flow,” said Steve McMillan, president and CEO of Teradata. “We are pleased with our strong product innovation this quarter, highlighted by the launch of our Autonomous Knowledge Platform, bringing a powerful set of capabilities to help enterprises deploy agentic AI. With our differentiated hybrid platform, positive customer reaction, and tangible operating leverage, we remain confident in our future, and are increasing our outlook for non-GAAP EPS and Adjusted Free Cash Flow.”

Second Quarter 2026 Financial Highlights Compared to Second Quarter 2025

Total ARR increased to $1.509 billion from $1.489 billion, an increase of 1% as reported and 2% in constant currency(1)Public cloud ARR increased to $686 million from $634 million, an increase of 8% as reported and 9% in constant currency(1)Total revenue was $410 million versus $408 million, flat as reported and in constant currency(1)Recurring revenue was $363 million versus $354 million, an increase of 3% as reported and 2% in constant currency(1)Recurring revenue was 89% of total revenue versus 87%GAAP gross margin was 59.3% versus 56.4%Non-GAAP gross margin was 60.5% versus 58.3%(2)GAAP operating margin was 11.7% versus 5.9% Non-GAAP operating margin was 21.5% versus 16.4%(2)GAAP diluted EPS was $0.48 versus $0.09 per shareNon-GAAP diluted EPS was $0.69 versus $0.47 per share(2)Cash flow from operations was $106 million compared to $43 millionFree cash flow was $105 million compared to $39 million(3)Adjusted free cash flow was $127 million compared to $39 million(3)

Outlook

For the third quarter of 2026:

Recurring revenue in the range of -4% to -2% year-over-yearTotal revenue in the range of -6% to -4% year-over-yearGAAP diluted EPS is expected to be in the range of $0.27 to $0.31 per shareNon-GAAP diluted EPS is expected to be in the range of $0.55 to $0.59 per share(2)

For the full year 2026, Teradata increases the following ranges:

GAAP diluted EPS is now expected to be in the range of $4.43 to $4.51Non-GAAP diluted EPS in the range of $2.65 to $2.73 per share(2)Cash flow from operations of $665 million to $685 million, which includes an after-tax net benefit of $315 million related to a settlement with SAPAdjusted free cash flow of $330 million to $350 million(3)

For the full year 2026, Teradata reaffirms the following ranges:

Total ARR growth of 2% to 4% year-over-yearRecurring revenue in the range of flat to 2% year-over-yearTotal revenue range in the range of -2% to flat year-over-year

Earnings Conference Call

The conference call will begin at 1:30 p.m. PT on August 4, 2026. Investors and participants may attend the call by dialing (585) 542-9983 and entering access code 369709903. For investors and participants outside the United States, see global dial-in numbers here, and use access code 369709903.

The live webcast, as well as a replay, will be available on the Investor Relations page of the Teradata website at investor.teradata.com.

Supplemental Financial Information
Additional information regarding Teradata’s operating results is provided below as well as on Teradata’s website at investor.teradata.com.

The impact of currency is determined by calculating the prior-period results using the current-year monthly average currency rates. See the foreign currency fluctuation schedule, which is used to determine revenue on a constant currency (“CC”) basis, on the Investor Relations page of the Company’s website at investor.teradata.com.

Revenue

(in millions)

For the Three Months ended June 30

2026

2025

% Change as
Reported

% Change in CC

Recurring revenue

$363

$354

3 %

2 %

Perpetual software licenses, hardware and other

167 %

313 %

Consulting services

(24 %)

(23 %)

Total revenue

$410

$408

0 %

Product Sales

$371

$357

4 %

3 %

Consulting Services

(24 %)

(23 %)

Total revenue

$410

$408

0 %

Revenue

(in millions)

For the Six Months ended June 30

2026

2025

% Change as
Reported

% Change in CC

Recurring revenue

$763

$712

7 %

5 %

Perpetual software licenses, hardware and other

(31 %)

(26 %)

Consulting services

101

(19 %)

Total revenue

$854

$826

3 %

2 %

Product Sales

$772

$725

6 %

5 %

Consulting Services

101

(19 %)

Total revenue

$854

$826

3 %

2 %

As of June 30

2026

2025

% Change as
Reported

% Change in CC

Annual recurring revenue*

$1,509

$1,489

1 %

2 %

Public cloud ARR**

$686

$634

8 %

9 %

The impact of currency on ARR is determined by calculating the prior period ending ARR using the current period end currency rates.

*Total Annual Recurring Revenue (“Total ARR”) is defined as the annual contract value for all active and contractually binding term-based contracts at the end of the period, including cloud, recurring AI services, subscriptions, hardware rental, maintenance, and software upgrade rights. The Company believes this is a useful metric to investors as it demonstrates progress toward achieving our strategic objectives as outlined in the Form 10-K and Form 10-Q.

**Public cloud ARR is defined as the annual contract value for all active and contractually binding term-based contracts at the end of a period that are operated in a public cloud environment. The Company believes this is a useful metric to investors as it demonstrates progress toward achieving our strategic objectives as outlined in the Form 10-K and Form 10-Q.

Teradata reports its results in accordance with GAAP. However, as described below, the Company believes that certain non-GAAP measures such as free cash flow, adjusted free cash flow, non-GAAP gross profit, non-GAAP operating income, non-GAAP net income, and non-GAAP diluted earnings per share, all of which exclude certain items, and which may be reported on a constant currency basis, are useful for investors. Our non-GAAP measures are not meant to be considered in isolation to, as substitutes for, or superior to, results determined in accordance with GAAP, and should be read only in conjunction with our condensed consolidated financial statements prepared in accordance with GAAP. Each of our non-GAAP measures do not have a uniform definition under GAAP and therefore, Teradata’s definition may differ from other companies’ definitions of these measures.

The following tables reconcile Teradata’s actual and projected results and EPS under GAAP to the Company’s actual and projected non-GAAP results and EPS for the periods presented, which exclude certain specified items. Our management internally uses supplemental non-GAAP financial measures, such as gross profit, operating income, net income, and EPS, excluding certain items, to understand, manage and evaluate our business and support operating decisions on a regular basis. The Company believes such non-GAAP financial measures (1) provide useful information to investors regarding the underlying business trends and performance of the Company’s ongoing operations, (2) are useful for period-over-period comparisons of such operations and results, that may be more easily compared to peer companies and allow investors a view of the Company’s operating results excluding stock-based compensation expense and special items, (3) provide useful information to management and investors regarding present and future business trends, and (4) provide consistency and comparability with past reports and projections of future results.

For the

Three Months

For the

Six Months

(in millions, except per share data)

ended June 30

Gross Profit:

2026

2025

% Chg.

2026

2025

% Chg.

GAAP Gross Profit

$243

$230

6 %

$519

$478

9 %

% of Revenue

59.3 %

56.4 %

60.8 %

57.9 %

Excluding:

Stock-based compensation expense

Reorganization and other costs

Non-GAAP Gross Profit

$248

$238

4 %

$531

$490

8 %

% of Revenue

60.5 %

58.3 %

62.2 %

59.3 %

Operating Income

GAAP Operating Income

$48

$24

100 %

$12

$90

(87 %)

% of Revenue

11.7 %

5.9 %

1.4 %

10.9 %

Excluding:

Stock-based compensation expense

Reorganization and other costs

SAP settlement costs

–

121

–

Non-GAAP Operating Income

$88

$67

31 %

$209

$158

32 %

% of Revenue

21.5 %

16.4 %

24.5 %

19.1 %

Net Income

GAAP Net Income

$46

411 %

$381

$53

619 %

% of Revenue

11.2 %

2.2 %

44.6 %

6.4 %

Excluding:

Stock-based compensation expense

Reorganization and other costs

SAP settlement

–

(359)

–

Income tax adjustments(i)

(19)

(7)

(12)

Non-GAAP Net Income

$66

$45

47 %

$151

$109

39 %

% of Revenue

16.1 %

11.0 %

17.7 %

13.2 %

For the Three Months

ended June 30

For the Six Months

ended June 30

2026 Outlook

Earnings Per Share:

2026

2025

2026

2025

GAAP Earnings Per Share

$0.48

$0.09

$3.95

$0.55

$0.27 – $0.31

$4.43 – $4.51

Excluding:

Stock-based compensation expense

0.34

0.32

0.64

0.54

0.31

1.27

Reorganization and other costs

0.06

0.13

0.14

0.15

0.02

0.24

SAP settlement

–

(3.72)

–

(3.72)

Income tax adjustments(i)

(0.19)

(0.07)

0.56

(0.12)

(0.05)

0.43

Non-GAAP Diluted Earnings Per Share

$0.69

$0.47

$1.57

$1.12

$0.55 – $0.59

$2.65 – $2.73

Represents the income tax effect of the pre-tax adjustments to reconcile GAAP to Non-GAAP income based on the applicable jurisdictional statutory tax rate of the underlying item, including the $67 million discrete income tax effect of the SAP settlement recorded in the first half of 2026. Including the income tax effect assists investors in understanding the tax provision associated with those adjustments and the effective tax rate related to the underlying business and performance of the Company’s ongoing operations. As a result of these adjustments, the Company’s GAAP effective tax rate and non-GAAP effective tax rate for the three months ended June 30, 2026, was 2.1% and 23.3%, respectively, and June 30, 2025, was 30.8% and 19.6%, respectively. For the six months ended June 30, 2026, the Company’s GAAP effective tax rate and non-GAAP effective tax rate was 21.3% and 24.5%, respectively and June 30, 2025, was 25.4% and 21.6%, respectively.

As described below, the Company believes that free cash flow and adjusted free cash flow are useful non-GAAP measures for investors. Free cash flow and adjusted free cash flow do not have a uniform definition under GAAP in the United States and therefore, Teradata’s definitions may differ from other companies’ definitions of this measure. Teradata defines free cash flow as cash provided by/used in operating activities, less total capital expenditures and adjusted free cash flow as free cash flow less the gross proceeds from the SAP settlement, plus the non-recurring legal and other expenses incurred in connection with the SAP litigation and resulting settlement, and taxes paid specific to the settlement agreement. Teradata’s management uses free cash flow and adjusted free cash flow to assess the financial performance of the Company and believes they are useful for investors because they relate the operating cash flow of the Company to the capital that is spent to continue and improve business operations. In particular, free cash flow indicates the amount of cash generated after capital expenditures which can be used for among other things, investments in the Company’s existing businesses, strategic acquisitions, strengthening the Company’s balance sheet, repurchase of Company stock and repay the Company’s debt obligations and adjusted free cash flow adjusts the impact of the SAP settlement. Neither free cash flow or adjusted free cash flow represent the residual cash flow available for discretionary expenditures since there may be other non-discretionary expenditures that are not deducted from these measures. These non-GAAP measures should not be considered as a substitute for, or superior to, cash flows from operating activities under GAAP.

(in millions)

For the
Three Months

For the
Six Months

ended June 30

Outlook

2026

2025

2026

2025

2026

Cash provided by operating activities (GAAP)

$106

$43

$507

$51

$665 to $685

Less total capital expenditures

(1)

(4)

(12)

(5)

(~20)

Free Cash Flow (non-GAAP measure)

$105

$39

$495

$46

$645 to $665

Less SAP gross settlement proceeds

–

(480)

–

(480)

Plus legal and other expenses

–

121

–

121

Plus taxes specific to the settlement

–

Adjusted Free Cash Flow (non-GAAP Measure)

$127

$39

$158

$46

$330 to $350

Note to Investors
This release contains forward-looking statements within the meaning of Section 21E of the Securities and Exchange Act of 1934. Forward-looking statements generally relate to opinions, beliefs, and projections of expected future financial and operating performance, business trends, liquidity, and market conditions, among other things. These forward-looking statements are based upon current expectations and assumptions and often can be identified by words such as “expect,” “strive,” “looking ahead,” “outlook,” “guidance,” “forecast,” “anticipate,” “continue,” “plan,” “estimate,” “believe,” “focus,” “see,” “commit,” “should,” “project,” “will,” “would,” “likely,” “intend,” “potential,” or similar expressions. Forward-looking statements in this release include our 2026 third quarter and 2026 full year financial outlook and product innovation and demand. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially, including those relating to: our strategy and ongoing business transformation, significant execution risk for our cloud, hybrid, on-premises, Artificial Intelligence (“AI”) and Machine Learning (“ML”) offerings, operational disruptions and unforeseen circumstances, impact of unanticipated delays or acceleration in our sales cycles to make accurate estimates impacting quarterly operating results, financial guidance and forecasts, the global economic environment and business conditions in general, including inflation, tariffs, and/or recessionary conditions; impact of price increase on our net sales, profit margins and earnings, the ability of our suppliers to meet their commitments to us; the timing of purchases, migrations, or expansions by our current and potential customers, including our ability to retain customers; the rapidly changing and intensely competitive nature of the information technology industry, the data analytics business, and artificial intelligence capabilities; fluctuations in our operating, capital allocation, and cash flow results; our ability to execute and realize the anticipated benefits of our refreshed brand, business transformation program or restructuring, sales and operational execution initiatives, and cost saving initiatives, including restructuring actions; risks inherent in operating in foreign countries, export controls and trade compliance, including sanctions, tariffs, foreign currency fluctuations, and/or acts of war; risks associated with data privacy, IP-enforcement actions, cyberattacks and maintaining secure and effective products for our customers, as well as, internal information technology and control systems; the timely and successful development, production or acquisition, availability and/or market acceptance of new and existing products, product features and services, including for our artificial intelligence, cloud, on-prem and hybrid offerings, tax rates; turnover of our workforce and the ability to attract and retain skilled employees; protecting our intellectual property; availability and successful execution of new alliance and acquisition opportunities; subscription arrangements that may be cancelled or fail to be renewed; the impact on our business and financial reporting from changes in accounting rules; and other factors described from time to time in Teradata’s filings with the U.S. Securities and Exchange Commission, including its most recent annual report on Form 10-K, and subsequent quarterly reports on Forms 10-Q or current reports on Forms 8-K, as well as Teradata’s annual report to stockholders. Teradata does not undertake any obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by law.

About Teradata
Teradata empowers enterprises to turn intelligence into autonomous action, grounding AI agents in deep business context and trusted data. As AI agents multiply, Teradata is the context foundation, governance layer, and performance backbone that companies need now. The Teradata Autonomous Knowledge Platform puts AI into production across cloud, on-premises, and hybrid environments. See how at Teradata.com.

The Teradata logo is a trademark, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the U.S. and worldwide.

INVESTOR CONTACT
Chad Bennett
chad.bennett@teradata.com

MEDIA CONTACT
Jennifer Donahue
jennifer.donahue@teradata.com

Schedule A

TERADATA CORPORATION

CONDENSED CONSOLIDATED STATEMENTS OF INCOME

(in millions, except per share amounts – unaudited)

For the Period Ended June 30

Three Months

Six Months

2026

2025

% Chg

2026

2025

% Chg

Revenue

Recurring

$ 363

$ 354

3 %

$ 763

$ 712

7 %

Perpetual software licenses, hardware and other

167 %

(31 %)

Consulting services

(24 %)

101

(19 %)

Total revenue

410

408

0 %

854

826

3 %

Gross profit

Recurring

243

235

520

485

% of Revenue

66.9 %

66.4 %

68.2 %

68.1 %

Perpetual software licenses, hardware and other

–

% of Revenue

25.0 %

0.0 %

33.3 %

7.7 %

Consulting services

(2)

(5)

(4)

(8)

% of Revenue

(5.1 %)

(9.8 %)

(4.9 %)

(7.9 %)

Total gross profit

243

230

519

478

% of Revenue

59.3 %

56.4 %

60.8 %

57.9 %

Selling, general and administrative expenses

120

135

360

251

Research and development expenses

147

137

Income from operations

% of Revenue

11.7 %

5.9 %

1.4 %

10.9 %

Other (expense) income, net

(1)

(11)

472

(19)

Income before income taxes

484

% of Revenue

11.5 %

3.2 %

56.7 %

8.6 %

Income tax expense

103

% Tax rate

2.1 %

30.8 %

21.3 %

25.4 %

Net income

$ 46

$ 9

$ 381

$ 53

% of Revenue

11.2 %

2.2 %

44.6 %

6.4 %

Net income per common share

Basic

$ 0.49

$ 0.09

$ 4.07

$ 0.56

Diluted

$ 0.48

$ 0.09

$ 3.95

$ 0.55

Weighted average common shares outstanding

Basic

93.9

95.3

93.5

95.2

Diluted

96.2

96.0

96.4

97.0

Schedule B

TERADATA CORPORATION

CONDENSED CONSOLIDATED BALANCE SHEETS

(in millions – unaudited)

June 30,

December 31,

June 30,

2026

2025

Assets

Current assets

Cash and cash equivalents

$ 414

$ 493

$ 369

Accounts receivable, net

256

251

293

Inventories

Other current assets

Total current assets

773

837

757

Property and equipment, net

191

198

205

Right of use assets – operating lease, net

Goodwill

397

399

400

Capitalized contract costs, net

Deferred income taxes

166

209

231

Other assets

Total assets

$ 1,658

$ 1,779

$ 1,737

Liabilities and stockholders’ equity

Current liabilities

Current portion of long-term debt

$ –

$ 25

Current portion of finance lease liability

Current portion of operating lease liability

Accounts payable

115

Payroll and benefits liabilities

120

Deferred revenue

560

533

521

Other current liabilities

Total current liabilities

845

914

898

Long-term debt

–

431

443

Finance lease liability

Operating lease liability

Pension and other postemployment plan liabilities

111

114

108

Long-term deferred revenue

Deferred tax liabilities

Other liabilities

Total liabilities

1,065

1,549

1,561

Stockholders’ equity

Common stock

Paid-in capital

2,361

2,305

2,244

Accumulated deficit

(1,617)

(1,923)

(1,932)

Accumulated other comprehensive loss

(152)

(153)

(137)

Total stockholders’ equity

593

230

176

Total liabilities and stockholders’ equity

$ 1,658

$ 1,779

$ 1,737

Schedule C

TERADATA CORPORATION

CONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS

(in millions – unaudited)

For the Period Ended June 30

Three Months

Six Months

2026

2025

2026

2025

Operating activities

Net income

$ 46

$ 9

$ 381

$ 53

Adjustments to reconcile net income to net cash provided

by operating activities:

Depreciation and amortization

Stock-based compensation expense

Deferred income taxes

(6)

Loss on Blue Chip Swap

–

Changes in assets and liabilities:

Receivables

(5)

(59)

Inventories

–

Current payables and accrued expenses

(32)

(24)

(47)

(54)

Deferred revenue

(43)

(28)

Other assets and liabilities

(9)

(13)

Net cash provided by operating activities

106

507

Investing activities

Expenditures for property and equipment

(1)

(4)

(11)

(5)

Additions to capitalized software

–

(1)

–

Business acquisitions and other investing activities, including loss on Blue Chip Swap

(1)

Net cash used in investing activities

(2)

(5)

(13)

(6)

Financing activities

Repurchases of common stock

(40)

(28)

(74)

(72)

Repayments of long-term borrowings

(450)

(6)

(456)

(12)

Payments of finance leases

(15)

(17)

(32)

(33)

Other financing activities, net

(2)

–

(7)

(2)

Net cash used in financing activities

(507)

(51)

(569)

(119)

Effect of exchange rate changes on cash and cash equivalents

(4)

(Decrease) increase in cash, cash equivalents and restricted cash

(401)

(79)

(51)

Cash, cash equivalents and restricted cash at beginning of period

816

369

494

421

Cash, cash equivalents and restricted cash at end of period

$ 415

$ 370

$ 415

$ 370

Supplemental cash flow disclosure:

Non-cash investing and financing activities:

Assets acquired by finance leases

$ 8

$ 19

$ 28

$ 52

Assets acquired by operating leases

$ 2

$ 1

$ 3

$ 2

Schedule D

TERADATA CORPORATION

CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS

(in millions – unaudited)

For the Three Months Ended June 30

For the Six Months Ended June 30

2026

2025

% Change
As Reported

% Change
Constant
Currency (2)

2026

2025

% Change
As Reported

% Change
Constant
Currency (2)

Segment Revenue

Product Sales

$ 371

$ 357

4 %

3 %

$ 772

$ 725

6 %

5 %

Consulting Services

(24 %)

(23 %)

101

(19 %)

Total segment revenue

410

408

0 %

854

826

3 %

2 %

Segment gross profit

Product Sales

248

239

529

492

% of Revenue

66.8 %

66.9 %

68.5 %

67.9 %

Consulting Services

–

(1)

(2)

% of Revenue

0.0 %

(2.0 %)

2.4 %

(2.0 %)

Total segment gross profit

248

238

531

490

% of Revenue

60.5 %

58.3 %

62.2 %

59.3 %

Reconciling items(1)

(5)

(8)

(12)

Total gross profit

$ 243

$ 230

$ 519

$ 478

% of Revenue

59.3 %

56.4 %

60.8 %

57.9 %

(1)

Reconciling items include stock-based compensation, amortization of acquisition-related
intangible assets and acquisition, integration and reorganization-related items

(2)

The impact of currency is determined by calculating the prior period results using the current-year
monthly average currency rates.

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SOURCE Teradata

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Beghou Expands Pune Office, Strengthening Data, Analytics, and AI Capabilities

Published

46 minutes ago

November 11, 2026

The expanded office brings together multidisciplinary teams to solve increasingly complex life sciences commercialization challenges

PUNE, India, Nov. 11, 2026 /PRNewswire/ — Beghou, a life sciences commercialization consulting and technology company, today announced the expansion of its Pune office. Opened on October 7 to foster cross-team collaboration, the new space reflects Beghou’s growing global delivery and innovation model. The Pune office is home to consulting and product teams with expertise spanning analytics, data engineering, technology, and AI. Beghou has also expanded its offices in Hyderabad and Bengaluru this year as its workforce continues to scale. The larger Pune space makes room for that growth, along with expanded leadership opportunities, specialist capabilities, and global client exposure for teams based there.

“There’s a real sense of momentum at Beghou right now, and it’s exciting to see that reflected in our global expansion. We’re growing across markets, expanding the capabilities we bring to clients, and investing in the people and technology behind that work,” said Adrienne Lovink, CEO, Beghou.

Commercialization challenges rarely sit within a single discipline, and Beghou’s model is built around that reality. Teams work together to move from identifying a business question to designing, building, and implementing the solution. The new office gives them dedicated space to collaborate, share knowledge, and learn from one another.

“It is incredibly fulfilling to see the growth of our India organization and the world-class talent and capabilities we have built over the years. I see this growth as a stepping stone to something much bigger – not just scaling, but driving innovation, developing differentiated offerings, and solving increasingly complex commercialization challenges for our clients. Our new office reflects this ambition, bringing together diverse expertise and creating more opportunities for our teams to collaborate, innovate, and build meaningful solutions,” said Sonam Dubey, India Head, Beghou.

The office is also a key hub for Beghou’s AI and product innovation, with teams working to embed AI in the solutions clients use across planning, analysis, and execution. They are also helping to develop new products that pair Beghou’s commercialization expertise with modern data capabilities.

“We are at an exciting point in Beghou’s journey. I see this office as a melting pot of deep commercial expertise, technology, product thinking, and AI, the capabilities that will shape our next phase of growth. The opportunity is to combine those strengths to build differentiated solutions that solve real client problems and scale our impact,” said Abhigya Jain, Partner, Beghou.

About Beghou

Beghou drives commercialization that works for life sciences. For over 30 years, Beghou has been a long-term consulting and technology partner to more than 250 life sciences clients. We connect the dots between strategy, data, technology, and teams, helping clients accelerate launches, deepen customer engagement, and advance patient access. Whether a company is pre-commercial and building from scratch or refining an existing commercial strategy, Beghou provides fresh ideas and pragmatic, technology-enabled solutions to help organizations adapt and thrive in an increasingly complex environment.

We build enduring partnerships by remaining engaged and accountable beyond project delivery to help ensure solutions take hold and deliver results. Combining strategic thinking, technical expertise, and hands-on execution, we help clients achieve faster outcomes and lasting impact.

Find out more at www.beghou.com.

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TIER IV unveils end-to-end autonomous driving adaptable to map information and sensor configurations

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Multiple open-source AI models are available with Autoware

TOKYO, Nov. 11, 2026 /PRNewswire/ — TIER IV, the pioneering force behind Autoware, open-source software for autonomous driving, today announced the development and open-source release of multiple end-to-end (E2E) autonomous driving AI models that support different system requirements, including map information and sensor configurations. The models offer flexible options ranging from camera-only configurations to those incorporating LiDAR, radar and high-definition (HD) maps, enabling developers to select AI models suited to their performance requirements. Through Autoware, TIER IV provides a development environment for optimizing these models and integrating them into vehicle systems, helping automakers and technology partners develop and deploy their own autonomous driving stack.

Overview of the Autoware 2.0 Architecture

TIER IV is leading the development of Autoware 2.0, the next-generation architecture of Autoware. Autoware 2.0 is a scalable and adaptable architecture that flexibly combines AI models with conventional rule-based technologies. By supporting different AI models and sensor configurations, it enables autonomous driving systems to be built for a range of applications and system requirements. The E2E autonomous driving AI models announced today are concrete technological outcomes designed to leverage this architecture.

NVIDIA Alpamayo 2 Edge

As part of its collaboration with NVIDIA announced in March 2026 , TIER IV has been evaluating the performance of NVIDIA Alpamayo, a vision-language-action (VLA) foundation model, and integrating it with Autoware. The latest model, Alpamayo 2 Edge, is an E2E autonomous driving AI model that takes only camera images as input and uses reasoning to generate driving trajectories. With 2 billion parameters, compared with 34 billion in Alpamayo 2 Super, it is substantially smaller and offers promise for practical deployment in vehicles. TIER IV is currently optimizing the model and adapting it to real vehicles, while having completed its integration with Autoware.

GitHub (source code): https://github.com/autowarefoundation/alpamayo-autowareHugging Face (AI model): https://huggingface.co/nvidia/Alpamayo2-Edge

AutoE2E

AutoE2E, whose development is led by the Autoware Foundation (AWF) and TIER IV, is an E2E autonomous driving AI model capable of running on computing platforms beyond NVIDIA hardware. It adopts a Fast–Slow architecture combining a Reactive Model for real-time driving decisions, a World Model for predicting future changes in the surrounding environment, and a Reasoning Model that supports driving decisions. It can accommodate configurations ranging from cameras alone to those incorporating LiDAR and radar sensor data. With 79.9 million parameters, it is lighter than Alpamayo 2 Edge. The Reactive Model has been released, while development of the World Model and Reasoning Model continues, alongside consideration of commercialization for robotaxi applications. Integration of the Reactive Model with Autoware has been achieved.

GitHub (source code): https://github.com/autowarefoundation/auto_e2eHugging Face (AI model): https://huggingface.co/AutowareFoundation/auto_e2e

METEOR

Developed independently by TIER IV, METEOR is a lightweight, multitask E2E autonomous driving AI model primarily intended for privately owned passenger vehicles. Built on a convolutional neural network (CNN) architecture, it uses a bird’s-eye-view (BEV) representation to perform everything from perception of the surrounding environment to driving trajectory generation within a single neural network, without relying on high-definition maps. It supports configurations using images from one to eight cameras and can also incorporate LiDAR and radar sensor data. With 16 million parameters, it is even lighter than AutoE2E and supports operation across different semiconductor platforms, including NVIDIA and Renesas. TIER IV also uses CoMET, the automated labeling platform within Co-MLOps, together with agentic AI to automate data labeling and model training, evaluation, and improvement, eliminating the need for manual coding and labeling. Automakers and component suppliers can optimize the open-source model to meet their own vehicle specifications and performance requirements.

GitHub (source code): https://github.com/tier4/METEORHugging Face (AI model): https://huggingface.co/AutowareFoundation/meteor

OnePlanner

OnePlanner is an E2E autonomous driving AI model that integrates perception of the surrounding environment with motion planning. It currently uses BEVFusion, which generates a BEV representation from LiDAR point-cloud data, with a planned transition to PTv3. Its flexible architecture allows the perception model to be replaced while directly using features extracted during perception for motion planning. Conventional autonomous driving systems convert perception results into information such as object positions and velocities before passing them to the planner. OnePlanner reduces these intermediate conversions, enabling richer use of information about the surrounding environment. It also incorporates HD maps, route information, traffic-signal states, and vehicle motion states to generate driving trajectories for the next six seconds. Integration with Autoware has been achieved.

GitHub (source code): https://github.com/autowarefoundation/autoware_oneplannerHugging Face (AI model): https://huggingface.co/AutowareFoundation/oneplanner

LatentDrive

LatentDrive is an E2E autonomous driving AI model that uses a world model to integrate predictions of the surrounding environment with motion planning. Using V-JEPA, a self-supervised learning approach, it represents features of the surrounding environment extracted from camera video in a latent space and uses these features to generate vehicle trajectories. Its distinguishing feature is that it directly leverages information from video for motion planning without intermediate processes such as object detection and tracking. It does not require HD maps and generates trajectories for the next four seconds using camera video, route information, and vehicle motion states. It supports configurations with either one or three cameras, and work is underway on integration with Autoware and validation in an in-vehicle environment.

GitHub (source code): https://github.com/autowarefoundation/autoware_latent_driveHugging Face (AI model): https://huggingface.co/AutowareFoundation/latent_drive

“Advances in E2E autonomous driving are fundamentally changing how autonomous driving systems are developed.” said Shinpei Kato, founder and CEO of TIER IV. “For automakers and component suppliers to incorporate AI technology into their own products, however, it is essential that they be able to internalize technologies according to their applications and performance requirements, without depending on a particular AI model or semiconductor platform. By releasing multiple AI models developed under the leadership of TIER IV and the Autoware Foundation, alongside the results of our collaboration with NVIDIA, we have significantly expanded those choices. We will continue to advance the open-source ecosystem centered on Autoware and work with partners around the world to democratize autonomous driving.”

“Advancing autonomous driving requires AI that can reason through complex situations and run efficiently in the car.” said Ali Kani, vice president of automotive at NVIDIA. “TIER IV’s integration of NVIDIA Alpamayo 2 Edge with Autoware gives developers an open foundation to bring that intelligence from research into their own vehicles.”

“The advancement of autonomous driving technology depends on an ecosystem in which diverse AI models can be developed and evaluated openly, then applied according to their respective use cases.” said Muhammad Zain Khawaja, President of the Autoware Foundation. “The AI models released today are an important demonstration of how Autoware is evolving into a flexible development platform that is not tied to any particular technology or hardware. We welcome TIER IV’s continued technology development and its collaboration with partners including NVIDIA. The Autoware Foundation will continue working with the global open-source community to make advanced autonomous driving technology accessible to everyone.”

Next Steps

TIER IV will continue improving the performance of the AI models released today and optimizing them for in-vehicle environments, while promoting the development and commercialization of E2E autonomous driving technology by automakers and partners through Autoware. TIER IV will also strengthen collaboration with the global open-source community and work to expand the adoption of autonomous driving systems across diverse vehicle types and applications.

About TIER IV

TIER IV stands at the forefront of deep tech innovation, pioneering Autoware, open-source software for autonomous driving. With a comprehensive suite of platforms and services built around Autoware, TIER IV provides everything from software development and vehicle procurement to operational support. Through the Autoware ecosystem, TIER IV works with partners worldwide to shape the future of intelligent vehicles with open-source software, aiming to create mobility that is safer, more sustainable, and accessible to all.

The word marks and logos of TIER IV are trademarks or registered trademarks of TIER IV, Inc. in Japan and other countries. All other company names, product names, service names, and logos referenced herein are trademarks or registered trademarks of their respective owners.

Autoware is a registered trademark of the Autoware Foundation.

Media contact
pr@tier4.jp

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SOURCE TIER IV, Inc.

Technology

Dingdong to Report Third Quarter 2026 Financial Results on November 12, 2026

Published

2 hours ago

November 11, 2026

SHANGHAI, Nov. 10, 2026 /PRNewswire/ — Dingdong (Cayman) Limited (“Dingdong” or the “Company”) (NYSE: DDL), a leading fresh grocery e-commerce company in China, with advanced supply chain capabilities, today announced that it will report its unaudited financial results for the third quarter ended September 30, 2026, before U.S. markets open on November 12, 2026.

About Dingdong (Cayman) Limited

Dingdong is the leading fresh grocery e-commerce company in mainland China, with sustainable long-term growth. The Company directly provides users and households with fresh groceries, prepared food, and other food products through delivering a convenient and excellent shopping experience supported by an extensive self-operated frontline fulfillment grid. Leveraging its deep insights into consumers’ evolving needs and its strong food innovation capabilities, Dingdong has successfully launched a series of private label products spanning a variety of food categories. Many of Dingdong’s private label products are produced at its own production plants, allowing it to more efficiently produce and offer safe and high-quality food products. Dingdong aims to be the first choice for fresh and food shopping.

For more information, please visit: https://ir.100.me.

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SOURCE Dingdong (Cayman) Limited

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