Technology
Dave Reports First Quarter 2026 Financial Results
Published
6 months agoon
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Q1 Revenue Grows 47% Y/Y to $158.4 Million Driven by Continued MTM Growth and ARPU Expansion
28-DPD Rate Reaches Record Q1 Low of 1.69%, While Net Monetization Expands to 5.1%, Marking Its Highest Level in Over Four Years
Q1 Net Income Grows 101% Y/Y to $57.9 Million; Adj. EBITDA Increases 57% Y/Y to $69.3 Million
Deploys Approximately $195 Million in Share Repurchase Activity, Representing 7.0% of Shares Outstanding
Raises 2026 Revenue, Adj. EBITDA and Adj. Diluted EPS Guidance
LOS ANGELES, May 5, 2026 /PRNewswire/ — Dave Inc. (“Dave” or the “Company”) (Nasdaq: DAVE), one of the nation’s leading neobanks, today reported its financial results for the first quarter ended March 31, 2026.
“We delivered another exceptional quarter to start the year, driven by record credit performance and consistent strong execution against our growth algorithm,” said Jason Wilk, Founder and CEO of Dave. “Our 28-Day Past Due rate improved both sequentially and year-over-year to 1.69%, the lowest Q1 rate in company history. Despite the typical dynamics of tax refund season and elevated refunds, demand remained strong with 18% year-over-year MTM and 24% year-over-year ARPU expansion – both above our stated targets. These results are the product of years of significant investments in CashAI and the continued innovation and excellence delivered by our team.”
Wilk continued, “We also began member testing of our new Pay in 4 card product in early April. We believe our underwriting advantage with CashAI differentiates us in the credit card and BNPL market and will further position us to drive the next phase of significant growth.”
Quarterly Financial Highlights ($ in millions, except for per share amounts, unaudited)
1Q25
2Q25
3Q25
4Q25
1Q26
GAAP Operating Revenues, Net
$108.0
$131.7
$150.8
$163.7
$158.4
% Change vs. prior year period
47 %
64 %
63 %
62 %
47 %
Non-GAAP Gross Profit*
$83.4
$92.0
$104.2
$121.9
$114.4
% Change vs. prior year period
67 %
78 %
62 %
68 %
37 %
Non-GAAP Gross Profit Margin*
77 %
70 %
69 %
74 %
72 %
Change vs. prior year period
900 bps
500 bps
0 bps
300 bps
(500) bps
GAAP Net Income
$28.8
$9.1
$92.0
$66.0
$57.9
% Change vs. prior year period
(16 %)
42 %
19,658 %
292 %
101 %
Adjusted Net Income*
$32.5
$40.5
$64.6
$53.3
$52.3
% Change vs. prior year period
208 %
290 %
208 %
92 %
61 %
Adjusted EBITDA*
$44.2
$50.9
$58.7
$72.9
$69.3
% Change vs. prior year period
235 %
236 %
137 %
118 %
57 %
Adj. Net Income per Diluted Share*
$2.22
$2.78
$4.45
$3.69
$3.64
% Change vs. prior year period
177 %
263 %
196 %
93 %
64 %
*Non-GAAP measures. See reconciliation of non-GAAP measures at the end of the press release.
First Quarter 2026 Operating Highlights (vs. First Quarter 2025)
New members increased 22% to 695,000, at a customer acquisition cost of $18Monthly Transacting Members (“MTMs”) increased 18% to 2.99 millionExtraCash originations increased 37% to $2.1 billion, while ExtraCash Monetization Rate Net of Losses expanded nearly 40 basis points to 5.1%Average 28-day past due rate of 1.69% versus 1.70%Dave Debit Card spend increased 9% to $534 million
Liquidity Summary
As of March 31, 2026, the Company had $177.8 million in cash and cash equivalents, investments, and restricted cash, compared to $123.2 million as of December 31, 2025. The $54.6 million increase was primarily driven by $82.0 million of net cash provided by operating activities and $175.7 million of net proceeds from our convertible notes offering (net of $24.3 million paid for the capped call transactions, purchasers’ discounts and transaction costs), partially offset by $186.7 million of share repurchases and $8.2 million in tax payments related to the net share settlement of equity awards.
The Company maintains $113.3 million of remaining capacity under its existing share repurchase authorization and expects to continue deploying capital opportunistically, subject to market conditions.
2026 Financial Guidance ($ in millions)
Prior FY 2026
New FY 2026
GAAP Operating Revenues, Net
$690 – $710
$710 – $720
Year-Over-Year Growth
25% – 28%
28% – 30%
Adjusted EBITDA*
$290 – $305
$305 – $315
Adj. Net Income per Diluted Share*
$14.00 – $15.00
$16.25 – $16.75
*Non-GAAP measure. The Company does not provide a quantitative reconciliation of forward-looking non-GAAP financial measures because it is unable to predict without unreasonable effort the exact amount or timing of the reconciling items, including interest expense, investment income, and loss provision, among others. The variability of these items could have a significant impact on our future GAAP financial results.
Dave’s CFO and COO, Kyle Beilman, commented: “Q1 was another quarter where we demonstrated the quality and consistency of our business model and the excellent execution of our team. Our Net Monetization Rate of 5.1%, its highest level in more than four years, alongside the strongest Q1 credit performance in company history underpin the quality of our earnings growth. These results reflect what we believe is durable, structurally strong member demand: customer acquisition efficiency is nearing all-time highs with payback periods at nearly 3 months, and our growing product roadmap — with Pay in 4 card member testing underway — gives us strong conviction in our ability to deliver on our growth algorithm for many years to come.”
“I also want to provide context on the sequential increase in our provision for credit losses. With March 31 falling on a Tuesday, ExtraCash receivables were at their intra-week peak at quarter-end, creating an unfavorable timing dynamic that resulted in a higher reserve build on a larger outstanding portfolio. Importantly, this reflects quarter-end timing rather than a credit-quality signal, as our underlying credit performance continues to trend favorably.”
“Based on Q1 outperformance and our positive outlook, we are raising full-year 2026 guidance across all three metrics. On capital allocation, we deployed $194.9 million in share repurchase activity during Q1, exceeding net proceeds from our convertible note offering. We intend to continue repurchasing shares opportunistically as a core component of our capital allocation strategy.”
Conference Call
Dave management will host a conference call on Tuesday, May 5, 2026, at 5:00 p.m. Eastern time to discuss its financial results for the first quarter ended March 31, 2026, followed by a question-and-answer period. The conference call details are as follows:
Date: Tuesday, May 5, 2026
Time: 5:00 p.m. Eastern time
Conference Call Registration: link
Webcast: link
The conference call will also be available for replay in the Events section of the Company’s website, along with the transcript, at https://investors.dave.com.
If you have any difficulty registering for or connecting to the conference call, please contact Elevate IR at DAVE@elevate-ir.com.
About Dave
Dave (Nasdaq: DAVE) is a U.S. neobank pioneering innovative credit products for everyday Americans. For more information about the Company, visit: www.dave.com. For investor information and updates, visit: investors.dave.com and follow @davebanking on X.
Forward-Looking Statements
This press release includes forward-looking statements, which are subject to the “safe harbor” provisions of the U.S. Private Securities Litigation Reform Act of 1995. These statements may be identified by words such as “feels,” “believes,” “expects,” “anticipates,” “estimates,” “projects,” “intends,” “remains,” “should,” “is to be,” or the negative of such terms, or other comparable terminology and include, among other things, the quotations of our Chief Executive Officer and Chief Financial Officer relating to Dave’s future performance and growth, statements relating to fiscal year 2026 guidance, projected financial results for future periods and other statements about future events. Such forward-looking statements are not guarantees of future performance and are subject to risks and uncertainties, which could cause actual results to differ materially from the forward-looking statements contained herein due to many factors, including, but not limited to: the ability of Dave to compete in its highly competitive industry; the ability of Dave to keep pace with the rapid technological and AI-related developments in its industry and the larger financial services industry; the ability of Dave to manage risks associated with providing ExtraCash; the ability of Dave to retain its current customers, acquire new customers (collectively, “Members”) and sell additional functionality and services to its Members; the ability of Dave to successfully launch new products and services; the ability of Dave to protect intellectual property and trade secrets; the ability of Dave to maintain the integrity of its confidential information and information systems or comply with applicable privacy and data security requirements and regulations; the reliance by Dave on two bank partners; the ability of Dave to maintain or secure current and future key banking relationships and other third-party service providers, including its ability to comply with applicable requirements of such third parties; the ability of Dave to comply with extensive and evolving laws and regulations applicable to its business; changes in applicable laws or regulations and extensive and evolving government regulations that impact operations and business; the ability to attract or maintain a qualified workforce; the level of product service failures that could lead Members to use competitors’ services; investigations, claims, disputes, enforcement actions, arbitration, litigation and/or other regulatory or legal proceedings, including the Department of Justice’s lawsuit against Dave; the possibility that Dave may be adversely affected by other macroeconomic factors, including regulatory uncertainty, fluctuating interest rates, inflation, unemployment rates, consumer sentiment, market volatility and business, and/or competitive factors; and other risks and uncertainties discussed in Dave’s Annual Report on Form 10-K filed with the Securities and Exchange Commission (the “SEC”) on March 2, 2026 and any subsequent Quarterly Reports on Form 10-Q under the heading “Risk Factors,” filed with the SEC and other reports and documents Dave files from time to time with the SEC. Any forward-looking statements speak only as of the date on which they are made, and Dave undertakes no obligation to update any forward-looking statement to reflect events or circumstances after the date of this press release.
Non-GAAP Financial Information
This press release contains references to adjusted net income, adjusted EBITDA, adjusted EBITDA margin, non-GAAP gross profit, non-GAAP gross profit margin, and adjusted net income per share (basic and diluted) of Dave, which are adjusted from results based on generally accepted accounting principles in the United States (“GAAP”) and exclude certain expenses, gains and losses. The Company defines and calculates adjusted EBITDA as GAAP net income before the impact of interest income or expense, provision for income taxes, depreciation and amortization, and adjusted to exclude non-recurring legal settlement and litigation expenses, stock-based compensation expense, discretionary or non-recurring income, changes in fair value of earnout liability and changes in fair value of public and private warrant liabilities. The Company defines and calculates adjusted EBITDA margin as adjusted EBITDA as a percentage of GAAP operating revenues, net. The Company defines and calculates variable operating expenses as provision for credit losses, processing and servicing costs and financial network and transaction costs. The Company defines and calculates non-GAAP gross profit as GAAP operating revenues, net excluding variable operating expenses. The Company defines and calculates non-GAAP gross profit margin as non-GAAP gross profit as a percentage of GAAP operating revenues, net. The Company defines and calculates adjusted net income as GAAP net income adjusted to exclude stock-based compensation, discretionary or non-recurring income, non-recurring legal settlement and litigation expenses, the income tax impact related to the release of the valuation allowance, the income tax impact related to stock-based compensation, changes in fair value of earnout liability and changes in fair value of public and private warrant liabilities. The Company defines and calculates non-GAAP adjusted net income per share – basic and non-GAAP adjusted net income per share – diluted as adjusted net income divided by weighted average shares of common stock-basic and weighted average shares of common stock-diluted, respectively.
These non-GAAP financial measures may be helpful to the user in assessing our operating performance and facilitate an alternative comparison among fiscal periods. The Company’s management team uses these non-GAAP financial measures in assessing performance, as well as in planning and forecasting future periods. The methods the Company uses to compute these non-GAAP financial measures may differ from the methods used by other companies. Non-GAAP financial measures are supplemental, should not be considered a substitute for financial information presented in accordance with GAAP and should be read only in conjunction with our condensed consolidated financial statements prepared in accordance with GAAP.
Refer to the section further below for a reconciliation of these non-GAAP financial measures to their most directly comparable GAAP measures for the three months ended March 31, 2026, and 2025.
Investor Relations Contact
Sean Mansouri, CFA or Stefan Norbom
Elevate IR
DAVE@elevate-ir.com
Media Contact
Dan Ury
press@dave.com
DAVE INC.
CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS
(in millions, except per share data)
(unaudited)
For the Three Months Ended March 31,
2026
2025
Operating revenues:
Service based revenue, net
$ 147.6
$ 97.9
Transaction based revenue, net
10.8
10.1
Total operating revenues, net
158.4
108.0
Operating expenses:
Provision for credit losses
26.6
10.6
Processing and servicing costs
9.6
7.0
Financial network and transaction costs
7.8
7.0
Advertising and activation costs
14.3
11.9
Compensation and benefits
27.6
27.3
Technology and infrastructure
3.4
2.7
Other operating expenses
9.6
6.3
Total operating expenses
98.9
72.8
Other (income) expenses:
Interest expense, net
0.9
1.3
Changes in fair value of earnout liabilities
(3.2)
(0.4)
Changes in fair value of public and private warrant liabilities
(8.3)
0.4
Total other (income) expense, net
(10.6)
1.3
Net income before provision for income taxes
70.1
33.9
Provision for income taxes
12.2
5.1
Net income
$ 57.9
$ 28.8
Net income per share:
Basic
$ 4.31
$ 2.19
Diluted
$ 4.02
$ 1.97
Weighted-average shares used to compute net income per share:
Basic
13,434,862
13,126,286
Diluted
14,399,635
14,646,526
RECONCILIATION OF TOTAL OPERATING REVENUES, NET
(in millions)
(unaudited)
For the Three Months Ended March 31,
2026
2025
Service based revenue, net
Processing and overdraft service fees, net
$ 133.6
$ 83.4
Tips
—
7.5
Subscriptions
13.9
6.8
Other
0.1
0.2
Transaction based revenue, net
Interchange revenue, net
6.2
5.9
ATM revenue, net
0.7
0.8
Other
3.9
3.4
Total operating revenues, net
$ 158.4
$ 108.0
CALCULATION OF NON-GAAP GROSS PROFIT
(in millions)
(unaudited)
For the Three Months Ended March 31,
2026
2025
GAAP operating revenues, net
$ 158.4
$ 108.0
Less: variable operating expenses
Provision for credit losses
(26.6)
(10.6)
Processing and servicing costs
(9.6)
(7.0)
Financial network and transaction costs
(7.8)
(7.0)
Non-GAAP gross profit
$ 114.4
$ 83.4
Non-GAAP gross profit margin
72 %
77 %
DAVE INC.
RECONCILIATION OF NET INCOME TO ADJUSTED EBITDA
(in millions)
(unaudited)
For the Three Months Ended March 31,
2026
2025
Net income
$ 57.9
$ 28.8
Interest expense, net
0.9
1.3
Provision for income taxes
12.2
5.1
Depreciation and amortization
1.6
1.5
Stock-based compensation
7.1
7.5
Legal settlement and litigation expenses
1.1
—
Changes in fair value of earnout liabilities
(3.2)
(0.4)
Changes in fair value of public and private warrant liabilities
(8.3)
0.4
Adjusted EBITDA
$ 69.3
$ 44.2
Adjusted EBITDA margin
44 %
41 %
DAVE INC.
RECONCILIATION OF NET INCOME TO ADJUSTED NET INCOME
(in millions, except per share data)
(unaudited)
For the Three Months Ended March 31,
2026
2025
Net income
$ 57.9
$ 28.8
Stock-based compensation
7.1
7.5
Legal settlement and litigation expenses
1.1
—
Changes in fair value of earnout liabilities
(3.2)
(0.4)
Changes in fair value of public and private warrant liabilities
(8.3)
0.4
Income tax expense (benefit) related to stock-based compensation
(2.3)
(3.8)
Adjusted net income
$ 52.3
$ 32.5
Adjusted net income per share:
Basic
$ 3.90
$ 2.48
Diluted
$ 3.64
$ 2.22
DAVE INC.
SUMMARY BALANCE SHEET
(in millions)
March 31,
December 31,
2026
2025
(unaudited)
Cash, cash equivalents, restricted cash, and investments
$ 177.8
$ 123.2
ExtraCash receivables, net of allowance for credit losses
279.1
297.3
Other assets
73.6
66.9
Total assets
$ 530.5
$ 487.4
Debt facility, current
$ 75.0
$ 75.0
Other current liabilities
49.3
39.0
Convertible notes, net of discount and issuance costs
192.8
—
Other liabilities
9.6
20.7
Total liabilities
$ 326.7
$ 134.7
Total shareholders’ equity
$ 203.8
$ 352.7
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SOURCE Dave Inc.
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Teradata Introduces New Privacy, Security, and Resiliency Capabilities as AI Forces Change in Enterprise Data Protection
Published
55 minutes agoon
October 20, 2026By
New capabilities protect the sensitive data and intelligence behind enterprise AI while keeping mission-critical operations available and recoverable
SAN DIEGO, Oct. 20, 2026 /PRNewswire/ — Teradata (NYSE: TDC) today announced new privacy, security, and resiliency capabilities designed to address one of the defining challenges of enterprise AI: how sensitive data is protected, who and what can access it, and whether it remains available and recoverable when something goes wrong. Teradata addresses all three through an integrated approach that reduces raw identity exposure, enforces protection closer to the data, and keeps the intelligence powering AI available and recoverable. In practice, that means protecting the intelligence behind AI without diminishing what makes it valuable.
Key Capabilities
Poly-Anonymization®: reduces raw identity exposure while preserving the relationships and utility AI and analytics requireFormat-preserving encryption: protects sensitive values without changing their format or breaking downstream systemsPost-quantum security and readiness: strengthens protection against emerging quantum-era threats through Anonomatic PII Vault® and TLS 1.3 hybrid-key exchange for data in transitImmutable backup protection: prevents recovery points from being modified or deleted, strengthening cyber-recovery readinessDatabase-level high availability: an additional availability layer for mission-critical workloads, distinct from disaster recovery
Why It Matters Now
As AI becomes mission-critical, it expands both the value and the vulnerability of enterprise data. Sensitive information now moves among users, applications, models, and agents, making it harder to secure at the boundary alone. AI is designed to combine disparate information to find patterns and make decisions, which means data that isn’t individually identifiable can become so when AI brings it together.
Executive Quote
“Privacy, security, and resiliency have historically been treated as separate problems with separate solutions. That approach doesn’t hold up when AI is moving sensitive data across users, applications, models, and agents simultaneously. This announcement reflects how we think those capabilities need to work together, and it’s the foundation for how we intend to extend that protection as AI environments grow more complex and the actors operating within them multiply.”
-Sumeet Arora, Chief Product Officer, Teradata
Privacy Protection
Access control determines who can see sensitive data. Identity reduction changes how much identifying information needs to be present in the analytical environment in the first place. Teradata combines both, through an OEM partnership with Anonomatic, whose privacy capabilities are natively available to Teradata customers.
Poly-Anonymization replaces PII fields with a stable identifier while holding underlying identity separately within Anonomatic PII Vault, a post-quantum-secure environment built with multiple layers of overlapping security controls designed to protect sensitive identity information. Authorized users can restore identity when a legitimate use case requires it, but everyone else works with data that retains its analytical structure, its relationships, and its utility. The result is an analytical environment where sensitive data can be used for AI, analytics, testing, and approved collaboration without broadly exposing who the data is about.
Unlike approaches that rely solely on mathematically reversible encryption, PII Vault combines identity separation, Poly-Anonymization, access controls, and additional layered protections to reduce identity exposure while retaining the utility required for AI and analytics. Format-preserving encryption extends that protection to situations where a value’s structure matters to downstream systems, protecting sensitive data without breaking the applications and workflows built around it.
Testing at large scale demonstrated that Teradata’s Anonomatic-powered privacy-preserving controls can support enterprise analytical workloads without the performance tradeoffs organizations typically associate with data privacy. Multi-table join queries on protected data used fewer Teradata resources than equivalent queries on unprotected data, though results will vary by workload and configuration.
Partner Quote
“Enterprise AI creates a fundamentally different privacy challenge. Organizations need to use sensitive, individual-level data to build effective AI, but the traditional tools for protecting that data weren’t designed to preserve what AI needs to work. Our partnership with Teradata makes it possible to reduce identity exposure at enterprise scale without forcing organizations to choose between protection and utility.”
-Matt Fleck, Founder and CEO at Anonomatic, a data security software company focused on making PII data privacy secure, simple and cost effective
Native Data Security
Protection that follows the data requires controls enforced at the data layer, not just at the systems surrounding it. Teradata applies classification, policy enforcement, and access controls closer to the data itself. Together, these capabilities provide a governance-led foundation for protecting data and intelligence across users, applications, and workloads.
For data in transit, Teradata introduces post-quantum protection via TLS 1.3 hybrid-key exchange, which combines classical and post-quantum cryptographic algorithms in a single handshake. As quantum computing advances make current encryption standards increasingly vulnerable, organizations that establish cryptographic readiness now will be better positioned for what’s ahead.
New native capabilities including dynamic data masking, data classification and tagging, column-level encryption, and global identity extend that protection across the data layer. Through a partnership with Immuta, a data authorization platform between identity and enterprise data, dynamic ABAC brings identity-aware, attribute-driven access control that enforces policy consistently across users and AI workloads without duplicating data or rewriting governance rules.
Teradata’s security architecture is designed to extend as AI environments evolve, with ongoing investment in controls that govern how AI agents access and act on enterprise data within policy boundaries.
Enterprise Data Protection
For enterprises running AI at scale, a cyberattack is a threat to the data, context, and operational knowledge that AI depends on to function. Teradata Enterprise Data Protection addresses that reality through a workload-aligned approach that lets organizations match protection levels to business criticality rather than applying the same resiliency architecture to every workload. The objective is not simply to restore data, but to restore the trusted context AI needs to resume mission-critical operations.
Database-level high availability via real-time replication introduces an additional availability layer designed for continuous synchronization and low recovery objectives.
Immutable backup protection strengthens cyber-recovery readiness by ensuring recovery points cannot be modified, encrypted, or deleted, even by privileged administrators. As ransomware increasingly targets backup data specifically, protected recovery points have become as critical as the protection strategies built around them. Teradata’s resiliency architecture is designed to extend as cyber threats and recovery requirements evolve.
Additional capabilities including backup and recovery, scheduled data synchronization, and disaster recovery round out a more consistent Enterprise Data Protection experience.
Availability
Privacy capabilities, powered by Anonomatic and delivered by Teradata, are available now for Teradata Cloud on AWS, Azure, and Google Cloud.Native data security capabilities including dynamic data masking, data classification and tagging, and column-level encryption are available on Teradata Cloud across AWS, Azure, and Google Cloud. Dynamic data masking, data classification and tagging are available for Teradata Factory and on-premises deployment options.Teradata Enterprise Data Protection including immutable backup protection is available now on Teradata Cloud across AWS, Azure, and Google Cloud with availability on Teradata Customer Cloud planned in the coming months.
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.
Forward-Looking Statements
This press release contains “forward-looking statements” about the expectations, beliefs, plans, and intentions relating to Teradata’s privacy, security, and resiliency capabilities. Such statements include statements regarding future product availability, capabilities, and offerings, and expected benefits to Teradata customers. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, Teradata’s results could differ materially from the results expressed or implied by the forward-looking statements made. Teradata undertakes no obligation, and does not intend to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in executing the planned product capabilities and offerings, (ii) changes in the regulatory landscape related to AI and (iii) uncertainty as to whether customer adoption will justify the investments in the product capabilities and offerings. Further information on factors that could affect Teradata’s financial and other results is included in the filings Teradata makes with the Securities and Exchange Commission from time to time.
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.
Poly-Anonymization and PII Vault are registered trademarks of Anonomatic, Inc.
MEDIA CONTACT
Jennifer Donahue
Jennifer.Donahue@Teradata.com
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SOURCE Teradata
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Teradata Expands Sovereign AI Across On-Premises and Air-Gapped Cloud Environments
Published
55 minutes agoon
October 20, 2026By
New Teradata Factory and Teradata Sovereign Cloud on Google Distributed Cloud capabilities give enterprises greater control over where their most sensitive data and AI operate
SAN DIEGO, Oct. 20, 2026 /PRNewswire/ — Teradata (NYSE: TDC) today announced a portfolio of deployment and platform capabilities designed to give governments and enterprises greater control over the data, AI, and technology that power their most critical operations. This includes expanded capabilities for Teradata Factory with AI Studio and the availability of Teradata Sovereign Cloud on Google Distributed Cloud air-gapped environment.
What’s New
Teradata’s portfolio spans two complementary deployment models designed to address different sovereignty requirements.
The expanded capabilities for Teradata Factory with AI Studio bring a unified AI environment to operate on data, vectors, models, and agents directly into customer-controlled on-premises infrastructure. These capabilities include:
Tera, the agentic coworker for enterprise data work, including Tera Harness and Tera Context EngineAgentStack, the complete AI agent development capabilities to build, manage, observe and operate agents through natural language, pro-code, low-code, and Model Context Protocol (MCP) interfacesModel services, which provide machine learning operations and AI model management with pre-integrated model and bring-your-own-model supportData pipelines for ingesting multimodal unstructured data, vector embeddings, vector storage and hybrid search for RAGAnalytics, native notebooks backed by in-database analytics and Teradata’s Elastic Python Compute, built on Ray and Arrow, bring AI to where data lives
Teradata Sovereign Cloud on Google Distributed Cloud air-gapped brings Teradata’s high-performance enterprise-scale analytics into fully isolated environments. Key benefits of running Teradata Sovereign Cloud on Google Distributed Cloud air-gapped include:
Full isolation: Deploy Teradata in an air-gapped environment with no external connectivity— keeping classified and regulated data fully containedSecurity and compliance: Meet stringent regulatory requirements while maintaining complete audit trails and governanceHigh-performance analytics and AI at scale: Run complex queries across billions of rows and petabytes of data with predictable performance
Why it Matters
Research points to growing urgency. According to a 2026 BARC global study of 320 business and IT decision-makers, 62 percent of organizations cite data and AI in core business processes as a key driver of sovereignty requirements. A separate IBM study found that 91 percent of executives say they do not fully understand their organization’s dependencies across AI vendors, models and infrastructure. And Gartner predicts that by 2030, more than 75 percent of enterprises outside the United States will have a digital sovereignty strategy, supported by a sovereign cloud strategy.
As AI moves into mission-critical operations, sovereignty is no longer only about where data resides. Organizations must also consider where AI runs, which models are used, how enterprise information is accessed, who operates the environment, and which external technologies their AI depends on.
This is particularly relevant for governments, defense organizations, regulated industries and critical infrastructure, where data residency, privacy, jurisdiction, operational continuity or national-security requirements can limit the use of traditional public-cloud AI services.
Teradata frames sovereignty across three dimensions: data sovereignty (where data lives and who can access it), operational sovereignty (who controls the environment and whether it can operate independently), and digital sovereignty (which technologies and AI models the organization depends on). An organization can satisfy data residency requirements and still lack full sovereignty if AI processing occurs externally, external administrators can access the environment, or operations stop when public connectivity is unavailable.
Teradata’s sovereign portfolio is designed to address these requirements, bringing enterprise analytics and AI inside the boundaries that organizations control.
The Deployment Portfolio
Teradata Factory and Teradata Sovereign Cloud on Google Distributed Cloud air-gapped address different sovereignty requirements.
Teradata Factory is an integrated hardware and software rack that brings a private enterprise data and AI environment into customer-controlled on-premises infrastructure. It is designed for organizations that require direct physical control over their infrastructure and AI execution.
Teradata Sovereign Cloud on Google Distributed Cloud air-gapped provides a cloud operating model inside a sovereign boundary. The environment has no connection to the public internet and is operated by the customer. It is designed for organizations that need the operational model of cloud within a fully isolated, sovereign environment. Teradata provides the enterprise analytics layer within the air-gapped boundary, enabling organizations to support use cases such as operational reporting, mission analysis, intelligence fusion, training and simulation analytics, and defense logistics and sustainment inside the sovereign boundary.
Together, Teradata Factory and Teradata Sovereign Cloud on Google Distributed Cloud air-gapped support a hybrid approach to sovereign deployment, giving organizations the flexibility to run enterprise analytics and AI inside whichever boundary their requirements demand.
Executive Perspectives
“As AI becomes embedded in mission-critical decisions, organizations can no longer treat sovereignty as a data-location requirement. They need control over where AI runs, which models are used, who can operate the environment, and whether critical workloads can continue if external connectivity disappears. And increasingly, sovereignty is not a single location. It is an architecture that spans public cloud, sovereign cloud, and on-premises infrastructure. Teradata is uniquely built for that reality. We can run in all of those environments, connect them through Teradata Fabric without requiring data to move, and give organizations the freedom to choose the AI models and infrastructure that work for them.”
— Sumeet Arora, Chief Product Officer, Teradata
“Google Distributed Cloud is purpose-built, air-gapped infrastructure that delivers complete technical, operational and software sovereignty. By combining Google Distributed Cloud’s sovereign infrastructure with Teradata’s AI and knowledge capabilities, we are giving enterprise customers in regulated industries the ability to innovate without sacrificing control over their data.”
— Muninder Singh Sambi, VP of Product Management, Google Distributed Cloud
Availability
The expanded Teradata sovereign capabilities for Teradata Factory with AI Studio will be available in Q1 2027. Teradata Sovereign Cloud on Google Distributed Cloud air-gapped is available in Private Preview.
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.
Teradata Forward-Looking Statements
This press release contains “forward-looking statements” about the expectations, beliefs, plans, and intentions relating to Teradata’s sovereign portfolio. Such statements include statements regarding future product availability, capabilities, and offerings, and expected benefits to Teradata customers. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, Teradata’s results could differ materially from the results expressed or implied by the forward-looking statements made. Teradata undertakes no obligation, and does not intend to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in executing the planned product capabilities and offerings, (ii) changes in the regulatory landscape related to AI and (iii) uncertainty as to whether customer adoption will justify the investments in the product capabilities and offerings. Further information on factors that could affect Teradata’s financial and other results is included in the filings Teradata makes with the Securities and Exchange Commission from time to time.
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.
MEDIA CONTACT
January Machold
January.Machold@Teradata.com
View original content:https://www.prnewswire.com/news-releases/teradata-expands-sovereign-ai-across-on-premises-and-air-gapped-cloud-environments-302913587.html
SOURCE Teradata Corporation
Technology
State Farm® and MIT AgeLab Collaborate to Study What’s Driving Distraction Behind the Wheel
Published
56 minutes agoon
October 20, 2026By
Drivefulness™ research explores the human side of a nearly $100 billion roadway risk
BLOOMINGTON, Ill., Oct. 20, 2026 /PRNewswire/ — As vehicles become more connected and technology-enabled, the challenge of distracted driving is becoming more complex across the country. The question is no longer simply what distracts drivers, but understanding why people make certain choices behind the wheel and how technology may influence those decisions.
State Farm® and the MIT AgeLab are exploring those questions through a research initiative examining driver attention, distraction, and the behaviors that influence decision-making behind the wheel. Researchers have coined the term “drivefulness” to describe a state in which a driver is safe, aware, appropriately engaged, and ready to respond to the road, while being supported in having the best possible driving experience for them.
The study brings together State Farm’s decades of experience understanding crash risk, driver behavior, and the real-world consequences of distraction with MIT AWARE initiative’s multidisciplinary research expertise in transportation safety, human factors, behavioral science, and how people interact with technology.
Distracted driving carries significant human and economic consequences. According to U.S. Department of Transportation research, distraction was involved in 29% of motor vehicle crashes studied, contributing to more than 10,000 deaths, 1.3 million injuries, and an estimated $98.2 billion in economic costs.
Understanding the relationship among driver attention, distraction, and behaviors could help inform how automakers, organizations, regulators, and insurers approach roadway safety, risk prevention, and the design of future driving experiences.
“Distracted driving is not simply about whether a driver knows what is safe or unsafe. It reflects a much more complex interaction between the driver’s state, the demands of the driving environment, and the technologies that compete for or support their attention,” said Dr. Pnina Gershon of the MIT AgeLab. “With this research, we are looking beyond individual moments of distraction to understand what drivers need to be prepared, attentive, and appropriately engaged during the driving task. That allows us to think differently about safety and about how technology, information, and interventions can support drivers before, during, and after the drive.”
Dr. Gershon is the director of the MIT AWARE initiative and a co-director of the MIT Advanced Vehicle Technology Consortium. With more than two decades of research experience, she leads work at the intersection of driving safety, human behavior, health, and human-centered AI. Her research uses sensing, real-world data, and behavioral analytics to understand human states and to develop technologies and interventions that support safer, more effective interactions between people and increasingly automated systems.
Understanding the behavior behind the risk
Drivers may know distraction is dangerous, but State Farm research shows that knowledge doesn’t always change what happens behind the wheel. Sixty-eight percent of drivers admit to engaging in distracting behaviors while driving, and 44% say they have crashed or experienced a near-crash while doing so.
Perception may be part of the challenge. Sixty-two percent of drivers believe taking their eyes off the road for two or more seconds is safe, even though a two-second glance away doubles crash risk.
“Technology is changing the driving experience, creating new opportunities to better understand and support drivers,” said Jeff Legner, technology executive at State Farm. “The more we learn about how people interact with technology behind the wheel, the better positioned we are to anticipate evolving risks, improve driver experiences and explore new approaches to accident prevention. This research can help turn those insights into meaningful ways to support drivers before, during and after every drive.”
Combining real-world risk with behavioral science
State Farm has worked to address distracted driving from multiple angles, including advocating for stronger hands-free laws, supporting cross-industry safety research and advancing technology that can help drivers better understand their behavior. That work includes telematics-based tools for customers and collaboration with companies such as Cambridge Mobile Telematics to explore how technology and data can help reduce roadway risk. The MIT AgeLab brings deep expertise in understanding the human side of a rapidly changing driving environment.
The collaboration builds on an established research relationship between State Farm and MIT, including State Farm’s participation in the MIT Advanced Vehicle Technology Consortium, which studies how drivers interact with increasingly automated and technology-enabled vehicles.
First findings expected in October
The first phase of the research is focused on establishing a deeper understanding of how people perceive and manage attention behind the wheel.
Findings from the first phase of the drivefulness study are expected later in October 2026, providing an early look at what the research is uncovering about driver attention, distraction and behavior through consumer survey findings.
The findings will help inform the next phase of drivefulness research, beginning in January 2027, on how people, technology and the driving environment can work together to support safer driving.
About State Farm®
For over 100 years, the mission of State Farm has been to help people manage the risks of everyday life, recover from the unexpected and realize their dreams. State Farm Mutual Automobile Insurance Company and its affiliates are the largest providers of auto and home insurance combined in the United States. Its more than 19,200 agent offices and over 62,000 employees serve over 96 million policies and accounts – including auto, fire, life, health, commercial policies and financial services accounts. Commercial auto insurance, along with coverage for renters, business owners, boats and motorcycles, is also available. State Farm Mutual Automobile Insurance Company is the parent of the State Farm family of companies. State Farm is ranked No. 32 on the 2025 Fortune 500 list of largest companies. For more information, please visit http://www.statefarm.com.
About the AWARE initiative at the MIT AgeLab
AWARE is an MIT research initiative focused on developing intelligent vehicle systems that can better understand drivers and support them in real-world conditions. Based at the MIT AgeLab and Center for Transportation & Logistics, AWARE brings together naturalistic driving research, advanced simulation, behavioral science, and artificial intelligence to study how driver state, behavior, and context interact across the driving journey. Its research examines areas such as distraction, fatigue, impairment, workload, automation use, driver monitoring, and human-machine interaction, with the goal of moving beyond simply detecting driver behavior toward systems that can sense, interpret, respond, and promote safer and more appropriate driver engagement. Through this work, AWARE is building the evidence and methods needed to support the next generation of adaptive, human-centered mobility technologies. For more information about AWARE, visit https://ctl.mit.edu/aware-initiative, and about the AgeLab, visit https://agelab.mit.edu/.
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SOURCE State Farm
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State Farm® and MIT AgeLab Collaborate to Study What’s Driving Distraction Behind the Wheel
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