Technology
EDB Launches Agentic Database, Converged Analytics, and Governance, Bringing Sovereign AI Where Enterprise Data Already Lives
Published
3 months agoon
By
In the agentic era, intelligence must move to the data, not the other way around. New capabilities make database tuning up to 10x faster and lower analytics TCO by up to 58%—all governed natively at the data layer.
WILMINGTON, Del., June 23, 2026 /PRNewswire/ — Today EnterpriseDB (EDB), the leading sovereign data and AI company, announced new agentic database and converged analytics capabilities for EDB Postgres® AI (EDB PG AI). The offerings bring intelligence, analytics, and governance together at the data layer, on a single open Postgres foundation that enterprises own and control. Relational, analytical, vector, and agentic workloads operate as one on a foundation that EDB will extend through 2026 in a sovereign AI operating system for the agentic era.
In the agentic era, AI runs on the data layer—or it doesn’t run at all. Agents act on live data continuously, at machine speed, and that breaks the old architecture. Sovereignty is no longer optional. Agents can’t reach into someone else’s cloud for a copy of regulated data. Governance can’t hover above the data; it has to be enforced at the row, in the moment of action. And intelligence has to move to the data, not the reverse. A lakehouse is not the source of truth agents need. Only live data—next to the intelligence acting on it, governed the instant it’s used—delivers what they require.
“The industry spent a decade telling enterprises to move everything into the lake. That’s exactly backwards for agents,” said Kevin Dallas, CEO of EDB. “Agents act in the moment, on live data, under real rules. You don’t get speed, accuracy, or sovereignty by reaching into a cloud for a copy. You get it by bringing the intelligence to the data. That’s what we built. Your AI, your data, your rules, on infrastructure you own.”
Agentic database: A self-optimizing foundation
Meeting that expectation starts with the database itself. EDB PG AI, with its agentic database capability, transforms Postgres from a manually managed system into a self-optimizing one. It continuously monitors more than 200 operational and performance metrics, reasons about what needs to change, and—where enterprise policy allows—applies the change automatically. It tunes, scales, and resolves issues before they become incidents.
Crucially, autonomy never comes at the expense of control. Teams choose, per action, whether the system acts automatically, requires human approval, or defers to a scheduled maintenance window. Every action is captured in a full audit trail.
EDB PG AI’s agentic database capability brings relational, JSON, time-series, geospatial, and vector data together through a single SQL interface. Autonomous operations stay inside the enterprise policy and access controls are enforced at the data layer, while the system handles execution at a scale no team could match by hand. It’s a database that runs itself, on the enterprise’s terms.
By putting agents to work on the database, enterprises optimize and tune up to 10x faster. Work that took an expert DBA 60 to 90 minutes of manual digging now takes minutes, with the system spotting the problem, recommending the exact fix in seconds, and applying it where policy allows.
The same optimizations accelerate application performance by up to 8x for end users. Teams catch the majority of performance issues before they reach production, redirecting their expertise from operational firefighting to new value creation.
“Every other approach asks you to move your data to the intelligence. We did the opposite—we put the intelligence in the database, on infrastructure you own,” said Max Romanenko, chief engineering officer, EDB. “It’s the database that runs itself, on your terms. That’s not a feature you bolt on. It’s the foundation.”
Converged analytics: Real-time to petabyte scale, under enterprise control
EDB PG AI collapses the gap between operational and analytical data with a zero-ETL architecture, making all data continuously available for real-time analytics and petabyte-scale warehousing.
It deploys anywhere and is built on open standards end to end. With infrastructure, formats, and engines all under their control, enterprises can unify the whole data lifecycle on their own terms. Every query and agent works from a shared source of truth, with no proprietary lock-in.
EDB PG AI for ClickHouse, generally available as part of the release, delivers sub-second real-time analytics on event and log data. EDB PG AI for WarehousePG provides petabyte-scale depth for historical analysis and complex reporting. For the heaviest workloads, processing can be offloaded to GPU-accelerated Spark. The result is an answer for every analytical workload—real-time, historical, and AI—on a single open core platform, rather than separate proprietary technology for each.
“The real shift here isn’t just speed or cost—it’s control. Built on open Postgres and running on infrastructure they own, customers aren’t renting their data strategy from a cloud vendor anymore,” said Romanenko.
Compared with legacy warehouses and cloud data platforms, EDB PG AI’s converged analytics capability delivers:
Up to 30x faster single-node query performance (in internal testing), and up to 99x by offloading to GPU-accelerated SparkUp to 52% greater scaling efficiency for high-concurrency workloadsUp to 58% lower total cost of ownership, with predictable per-core pricing
Kyobo Book Centre, one of Korea’s largest booksellers, rearchitected its analytics environment on an on-premises WarehousePG foundation. As a result, the organization projected significant savings in TCO while establishing a sovereign data platform ready for AI and vector-driven services.
“Agents don’t act on copies. They act on the real thing—live, governed, right where it sits, with no separate system to secure and no lake to fall out of sync with,” said Romanenko.
AI-ready retrieval, native to the data layer
Agents are only as good as the data they retrieve—and how fast and accurately they can retrieve it. EDB PG AI brings vector search, structured and unstructured data, and analytics together in a single query layer, so agents get accurate retrieval on data they’re already authorized to access, without a separate vector store to secure and synchronize.
Independent benchmarks by McKnight Consulting Group, testing EDB PG AI against leading platforms across the demands of real-world AI agent workloads, found:
Up to 99.4% lower query latency than Databricks, and 93% lower than MongoDBThe highest accuracy of any platform tested—0.911 Recall@10, 17% above Databricks and 26% above MongoDBNew writes queryable in 12 milliseconds, versus 3.8 seconds for Databricks—99.7% faster for the data freshness agents depend on
The result is the sub-second speed and ACID-guaranteed accuracy autonomous agents demand, without architectural compromise.
NTT East, one of Japan’s leading telecommunications carriers, has adopted EDB PG AI to pursue AI-driven network operations. It applies generative AI agents that can autonomously detect, analyze, and respond to network issues in a private environment, where sensitive operational data stays under the carrier’s control.
Governance built into the data layer, for agents—before they execute
As agents take on more enterprise work, the hardest question isn’t what they can do, it’s how to keep them inside the rules. EDB’s answer is to govern agents at the data layer itself, using native Postgres primitives rather than a separate control plane bolted on top.
Now in preview, EDB PG AI enforces agent access through the database’s own roles and row-level security. An agent’s identity, declared purpose, permissions, and the enterprise’s policies are fused into a single constrained query that Postgres executes natively—so every action an agent takes, down to the row, is held to the same rigor as a human’s, with no bypass path and a full session-level audit. Because enforcement runs where the data lives, there’s no new runtime and no proprietary engine to secure separately.
EDB will build on that foundation through the second half of 2026, extending it into full enterprise-wide agent governance, giving every agent a declared owner and boundary and flagging when an agent’s behavior drifts from its stated purpose. The principle remains constant: autonomous systems held to enterprise policy, enforced at the source.
Built on open foundations, delivered with partners
EDB PG AI is built on open Postgres and open table formats, avoiding the proprietary lock-in and sovereignty trade-offs of vendor-controlled platforms. Because it runs wherever enterprises need it—on-premises, in hybrid environments, or across clouds—organizations keep full control over where their data lives and how it’s governed, rather than surrendering it to a single cloud provider. The platform is supported by a global partner ecosystem that includes Dell, IBM, NVIDIA, Red Hat, and Supermicro.
“IBM Power and EDB Postgres AI are empowering enterprises for the AI-native era by providing a secured, sovereign, and AI-ready infrastructure foundation. Together, we enable a resilient data ecosystem that supports data sovereignty,” said Unnikrishnan Rajagopal, WW director for ISV Ecosystem, GSIs and Alliances, IBM.
“Red Hat Ansible Automation Platform plus EDB Postgres AI delivers automated operations with high availability, enterprise-grade security, and deploy-anywhere flexibility. Ansible Automation Platform’s new automation orchestrator, combined with EDB’s new agentic capabilities, enables organizations to rapidly scale automation and build sovereign infrastructure on their own terms, maintaining complete control over portable, governed data,” said Sathish Balakrishnan, GM Ansible Business Unit, Red Hat.
Availability
Agentic database and converged analytics capabilities, including EDB Postgres AI for ClickHouse, are generally available today as part of EDB PG AI. Governance is available in preview. For more information, visit enterprisedb.com.
About EDB
EDB Postgres® AI (EDB PG AI) is the sovereign data and AI platform for the agentic enterprise. Built on Postgres, the world’s leading open source database, EDB PG AI unifies transactional, analytical, and AI workloads in a single architecture, eliminating the data movement, ETL, and operational fragmentation that slow enterprises down. With governance enforced at the data layer and the flexibility to deploy on-premises, in hybrid environments, or across clouds, enterprises operationalize their data and AI on infrastructure they own and control—reaching production-ready sovereign AI in weeks, not months. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global open source community. To learn more, visit www.enterprisedb.com.
EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners.
Media Contact:
Anwar Ahmad
417370@email4pr.com
(347) 206-5651
View original content to download multimedia:https://www.prnewswire.com/news-releases/edb-launches-agentic-database-converged-analytics-and-governance-bringing-sovereign-ai-where-enterprise-data-already-lives-302807516.html
SOURCE EnterpriseDB
You may like
Technology
Stowers Institute partners with Google DeepMind and leading research institutions to help reveal the regulatory language of the human genome
Published
7 minutes agoon
September 9, 2026By
Researchers provided biological expertise and feedback that helped guide the development of a new AI-powered resource released today. For the first time, scientists can explore a comprehensive map of more than 9 billion possible single-letter DNA changes through a web browser, helping them more quickly prioritize and interpret variants that may influence biology and disease and lay groundwork for future treatments.
KEY HIGHLIGHTS
Developed over several years, AlphaGenome Atlas is a one-petabyte dataset containing molecular-effect predictions for more than 9 billion possible single-letter DNA changes across the human genome.Until now, researchers lacked a single resource that could both rank variants across the genome and reveal the biological processes they are predicted to disrupt, a combination that could accelerate foundational discoveries, disease research and the search for therapeutic targets.Researchers from Google DeepMind, the Stowers Institute for Medical Research, Broad Institute, the University of Exeter, Memorial Sloan Kettering Cancer Center and Stanford University contributed scientific input and explored applications of the resource.
KANSAS CITY, Mo., Sept. 8, 2026 /PRNewswire/ — The human genome contains approximately 3 billion DNA letters, creating more than 9 billion possible single-letter changes. Testing the effects of each change in a laboratory would be practically impossible. Google DeepMind’s new AlphaGenome Atlas, available beginning today, gives scientists a comprehensive, searchable resource designed to accelerate understanding of the human genome.
The one-petabyte resource contains artificial intelligence-generated predictions for the molecular effects of more than 9 billion possible changes, creating what Google DeepMind describes as the most comprehensive catalogue of its kind.
Stowers Institute for Medical Research Investigator Julia Zeitlinger, Ph.D., partnered with the Google DeepMind team led by Vice President of Science and Chief Scientist Žiga Avsec, Ph.D., to map and interpret the patterns in DNA that regulate biological processes inside cells. At the same time, additional scientific collaborators from leading institutions across the United States and England helped test how the new resource could be used to identify impactful genetic variation in humans. The work is now available as a preprint on bioRxV.
Zeitlinger has made significant contributions to the field of gene regulation and computational biology. In 2019, in an international collaboration that included Avsec, Zeitlinger and her team at the Stowers Institute developed a powerful AI framework, BPNet. This framework is now widely used to extract and dissect the DNA sequences that explain genome-wide biological data. Just last month, her lab unveiled a new AI method, PISA, which generates high-resolution visualizations of what AI models have learned from DNA.
Stowers Institute Bioinformatics Scientist and Zeitlinger Lab member, Melanie Weilert, served as a lead author on the AlphaGenome project. With her deep expertise in interpretating AI models, she helped build the AlphaGenome Atlas resource to ask one of biology’s biggest questions: How does a cell know which genes to turn on and off?
“This is a very difficult problem because every cell type speaks a slightly different language, making it hard to know which rules are general,” Zeitlinger said. “With AlphaGenome, we can quickly query many cell types and look for general patterns by which genes are activated and repressed.”
Google DeepMind developed the technology behind the Atlas. Zeitlinger, who also leads the Stowers Institute’s AI Initiative, helped connect its predictions to the biological processes that give cells their identities and allow them to function.
“AlphaGenome Atlas is a powerful example of how AI can expand human knowledge and advance scientific discovery,” said VP Science, Google DeepMind and Chief Scientist, Google Cloud, Pushmeet Kohli, Ph.D. “By making this resource widely available, we hope scientists around the world can use it to better understand the language of life and what happens when individual letters in the human genome change.”
Scientists can access the resource through a web browser without writing code, allowing more researchers to explore genetic variation at a scale that was not previously possible.
“AlphaGenome Atlas is foundational research with the potential to have an impact across multiple areas of biology,” said Avsec. “We worked with experts in the field, including Julia, whose biological insight helped us explore how the resource can map functional elements in the genome and reveal their roles at the molecular level.”
How Stowers scientists helped reveal the regulatory “words” of the genome
Every cell in the human body contains essentially the same DNA, yet different cells use that information in very different ways. Short DNA sequences called motifs act as regulatory instructions, helping control which genes are active, when they are activated and how strongly they operate.
Zeitlinger and her team used AlphaGenome Atlas to analyze regulatory motifs across the genome and determine what they reveal about the proteins, called transcription factors, that control gene activity. The researchers categorized these regulatory signals by function, distinguishing transcription factors that change whether DNA is accessible from those that also activate or repress genes.
Conducting this type of analysis experimentally across thousands of sites and many different cell types would require enormous time and resources. By making genome-wide predictions available in one searchable resource, the Atlas allowed Zeitlinger’s team to identify broader patterns in how genes are regulated and begin defining the general rules underlying the regulatory language of DNA.
“Having these motifs mapped at base-pair resolution across the genome and in many cell types gives us a searchable dictionary for non-coding DNA,” Zeitlinger said. “By giving the scientific community access to these predictions, AlphaGenome Atlas can accelerate how we identify potentially disease-causing variants while helping us understand the fundamental rules by which genes are regulated.”
“This collaboration demonstrates how Stowers scientists are helping shape emerging technologies, not simply adopting them,” said Stowers Institute President and Chief Scientific Officer Alejandro Sánchez Alvarado, Ph.D. “By pairing deep biological knowledge with the capabilities of AI, researchers can ask questions at a scale that was not previously possible and create new opportunities to more clearly understand human health and disease.”
The Atlas does not replace laboratory research. Instead, it can help scientists determine which variants and biological mechanisms should be investigated first, focusing experimental time and resources on the most promising questions.
“Tools such as AlphaGenome Atlas become most valuable when their predictions can be connected to meaningful biological questions,” said Stowers Institute Scientific Director Kausik Si, Ph.D. “Julia’s work brings together deep expertise in gene regulation and computational biology to help move us from simply reading DNA sequence toward understanding the rules that control gene activity.”
From billions of variants to focused biological questions
AlphaGenome Atlas contains thousands of molecular-effect predictions for each variant across hundreds of human cell types and tissues. These predictions contribute to the new AlphaGenome Variant Impact, or AVI, score. They also enabled researchers to identify and map recurring DNA motifs, short sequences where transcription factors bind to help control gene activity.
The AVI score brings together predictions from AlphaGenome, AlphaMissense and evolutionary conservation data. It gives researchers a single measure for ranking variants by their potential impact across protein-coding and non-coding regions of the genome. Researchers can then examine which molecular processes, including gene expression, RNA splicing and protein function, are predicted to be affected.
The collaborating institutions explored how the resource could support several areas of human genetic research. Scientists at the Broad Institute used the AVI score to prioritize a previously overlooked non-coding variant associated with an unsolved rare disease case. At the University of Exeter, researchers applied Atlas to genomic data from more than 54,000 UK Biobank participants, uncovering additional associations between rare noncoding variants and protein levels.
Watch a video from Google DeepMind and read a blog post announcing AlphaGenome Atlas.
Learn more and watch a tutorial of AlphaGenome Atlas
AlphaGenome Atlas is available for non-commercial use through Google DeepMind’s website at deepmind.google.com/science/alphagenome/atlas. Its predictions are intended to support research and have not been validated or approved for clinical use.
About the Stowers Institute for Medical Research
Founded in 1994 through the generosity of Jim Stowers, founder of American Century Investments, and his wife, Virginia, the Stowers Institute for Medical Research is a nonprofit, biomedical research organization with a focus on foundational research. Its mission is to expand our understanding of the secrets of life and improve life’s quality through innovative approaches to the causes, treatment, and prevention of diseases.
The Institute consists of 24 independent research programs. Of the approximately 500 members, over 370 are scientific staff that include principal investigators, fellows, technology center directors, postdoctoral scientists, graduate students, and technical support staff. Learn more about the Institute at stowers.org and about its graduate program at stowers.org/gradschool.
Read an online version of the release here.
Media contact
Joe Chiodo
Director of Communications
Stowers Institute for Medical Research
724-462-8529
chiodo.joe@stowers.org
View original content to download multimedia:https://www.prnewswire.com/news-releases/stowers-institute-partners-with-google-deepmind-and-leading-research-institutions-to-help-reveal-the-regulatory-language-of-the-human-genome-302872938.html
SOURCE Stowers Institute for Medical Research
Technology
The Inner Circle acknowledges Daniel Beer as a Pinnacle Professional Member Inner Circle of Excellence
Published
1 hour agoon
September 8, 2026By
NEW YORK, Sept. 8, 2026 /PRNewswire/ — Prominently featured in The Inner Circle, Daniel Beer is acknowledged as a Pinnacle Professional Member Inner Circle of Excellence for his contributions to Information Technology and Artificial Intelligence.
Daniel Beer has built a distinguished career as a technology executive, entrepreneur, and innovator dedicated to helping organizations harness technology to achieve sustainable growth and meaningful collaboration. As founder and chief executive officer of Trusted Associates and chief executive officer of Freeman and Clarke Inc., he leads initiatives that combine strategic technology leadership with emerging innovations in artificial intelligence and digital transformation.
Mr. Beer specializes in information technology strategy, platform development, organizational modernization, digital infrastructure, and fractional chief information officer and chief technology officer services. Through Freeman and Clarke Inc., he provides executive technology leadership that enables organizations to align technology investments with long term business objectives. At Trusted Associates, he focuses on developing collaborative technology platforms, cultivating strategic partnerships, creating innovative applications, and making investments in artificial intelligence companies that advance practical, real world solutions.
Mr. Beer earned a Bachelor of Music Education from the University of Sydney in 1997 before completing an equivalency certification for a Bachelor of Applied Science in Computer Science through the University of Maryland in 2012. His unique educational background combines creativity with technical expertise, allowing him to approach technology challenges with both analytical precision and innovative thinking.
Throughout his career, Mr. Beer has consistently demonstrated visionary leadership. He founded Techknowledgy Group at the age of 20 and successfully grew the company into a respected managed services provider over a fifteen year period. Later, as Chief Information Officer for the New York Hotel Trades Council, he led the modernization of the organization’s information systems and digital infrastructure, significantly improving operational efficiency and technology capabilities. Today, he continues expanding his influence through leadership roles with Trusted Associates, Freeman and Clarke Inc., and as an investor and advisory board member for Relate Research and Technology Company.
His professional accomplishments have earned recognition through inclusion in Marquis Who’s Who Top Executives, honoring his leadership, innovation, and contributions to the field of information technology.
Outside of his professional endeavors, Mr. Beer enjoys singing in church choirs, supporting personal development programs, and participating in animal rescue efforts, including fostering and rescuing dogs alongside his family. He credits the mentors who invested in his growth without expecting anything in return for shaping both his leadership philosophy and his commitment to serving others.
Looking ahead, Mr. Beer plans to continue advancing technology solutions that promote global collaboration while pursuing initiatives that improve literacy, raise awareness of neurodiversity, reduce incarceration rates, and create opportunities that benefit society as a whole. He remains committed to using innovation as a force for positive change.
Guided by his W5 philosophy, Mr. Beer believes true success is measured by helping others succeed. Through collaboration, communication, service, and innovation, he continues to build organizations and technologies that create lasting value for clients, communities, and future generations.
Contact: Katherine Green, 516-825-5634, editorialteam@continentalwhoswho.com
View original content:https://www.prnewswire.com/news-releases/the-inner-circle-acknowledges-daniel-beer-as-a-pinnacle-professional-member-inner-circle-of-excellence-302872896.html
SOURCE The Inner Circle
Technology
Thoma Bravo Announces Strategic Growth Investment in Tanda
Published
1 hour agoon
September 8, 2026By
Investment to accelerate Tanda’s product innovation and global growth
BRISBANE, Australia and SAN FRANCISCO, Sept. 8, 2026 /PRNewswire/ — Thoma Bravo, the world’s largest software-focused investment firm, today announced a strategic growth investment in Tanda, a leading workforce management, payroll and HR platform for shift-based workers. Thoma Bravo’s investment will support Tanda’s continued product innovation, including the company’s AI roadmap and its expansion into new markets. Tanda’s co-founders will remain significant shareholders and will continue to lead the company, with Jake Phillpot remaining Chief Executive Officer. Terms of the transaction were not disclosed.
Tanda is the market leader in workforce management for shift-based employers, serving approximately 8,000 businesses globally across hospitality, retail, quick-service restaurants, healthcare and other frontline industries. Tanda’s integrated workforce management platform combines employee recruiting, onboarding, rostering, time and attendance, gross wage calculations and payroll on a single codebase. This natively built product suite enables employers in complex, highly regulated markets to manage compliance and ensure employees are paid accurately. Trusted by thousands of organizations, Tanda’s platform powers the daily operations of some of the most demanding frontline businesses in the world.
“Taking on an investor was a very big decision for Tanda,” said Jake Phillpot, Co-Founder & Chief Executive Officer of Tanda. “We’ve been a bootstrapped company with no outside capital since we were founded 14 years ago. What started as an idea when we were still housemates at university has become a global business that we have built without taking shortcuts. Through a lot of hard work, we have market-leading products, growing market share and so much more room to grow. We thought the time was right to take on our first investor.”
“Thoma Bravo was the obvious choice as our financial partner,” Phillpot continued. “They understand software at an extraordinary level, have spent decades helping companies like ours scale and share our ambition for what Tanda can become. By partnering with the world’s number one software investor, we intend to become the global category leader in our space. Most importantly, the things that make Tanda precious won’t change. The founders will still come to work every day, and we’ll still obsess over how we can make our products better for our customers.”
“Managing and compensating employees accurately is a fundamental obligation of all employers, yet it remains a universal challenge, particularly for businesses with shift-based employees,” said Carl Press, a Partner at Thoma Bravo. “Employers are frustrated by a patchwork of legacy systems that cannot address their complex needs and expose them to operational and legal risks. Jake and his co-founders identified this problem and built Tanda from the ground up with customers and their employees at the center of every product decision. In doing so, they’ve laid the groundwork to become the definitive AI-native workforce management solution in the shift-based economy. We couldn’t be more thrilled to help them drive the next chapter of accelerated growth and innovation.”
“Tanda has everything we look for in an investment: market leadership, a fiercely loyal customer base and a product-first founding team with deep domain expertise,” said Adam Kinalski, a Principal at Thoma Bravo. “Jake and his co-founders have built a rare business that matches strong product-market fit with exceptional operational execution. We’re excited to partner with them on their mission to make Tanda the global standard in workforce management and payroll software for shift-based employers.”
Barrenjoey Advisory Pty Ltd is serving as financial advisor to Tanda, and SBA Law is serving as legal counsel. Piper Sandler & Co. is serving as exclusive financial advisor to Thoma Bravo, and Kirkland & Ellis LLP and Allens are serving as legal counsel.
About Thoma Bravo
Thoma Bravo is the world’s largest software-focused investment firm, with approximately $170 billion in assets under management as of June 30, 2026. Partnering with some of the world’s most sophisticated investors, Thoma Bravo’s private equity and private credit platforms reflect a focused investment strategy, supported by disciplined execution, deep sector expertise and leadership continuity. Over the past 20-plus years, Thoma Bravo has acquired or invested in approximately 600 software and technology companies, representing more than $325 billion of aggregate enterprise value (including control and non-control investments, as well as add-on acquisitions). Learn more at thomabravo.com and on LinkedIn.
About Tanda
Founded in 2012 and headquartered in Brisbane, Australia, Tanda (operating internationally as Workforce.com) is an all-in-one payroll, HR and workforce management system for businesses with shift-based and hourly workforces. Tanda’s platform brings rostering, time and attendance, award interpretation, compliance, payroll and HR onboarding together in a single system, helping employers in hospitality, retail, healthcare and other frontline industries schedule efficiently and pay employees accurately. The company serves thousands of customers across Australia, North America, the United Kingdom and Southeast Asia. For more information, visit tanda.co.
For Thoma Bravo
Abby Farr
Vice President, Communications & Marketing
+1 646-957-2067
afarr@thomabravo.com
For Tanda
Georgie Pollok
Head of Marketing
media@tanda.com.au
View original content to download multimedia:https://www.prnewswire.com/news-releases/thoma-bravo-announces-strategic-growth-investment-in-tanda-302872908.html
SOURCE Thoma Bravo
Stowers Institute partners with Google DeepMind and leading research institutions to help reveal the regulatory language of the human genome
The Inner Circle acknowledges Daniel Beer as a Pinnacle Professional Member Inner Circle of Excellence
Thoma Bravo Announces Strategic Growth Investment in Tanda
Send Rakhi to UK swiftly with UK Gifts Portal
Whiteboard Series with NEAR | Ep: 45 Joel Thorstensson from ceramic.network
New Gooseneck Omni Antennas Offer Enhanced Signals in a Durable Package
Why You Should Build on #NEAR – Co-founder Illia Polosukhin at CV Labs
Whiteboard Series with NEAR | Ep: 45 Joel Thorstensson from ceramic.network
NEAR End of Year Town Hall 2021: The Open Web World, MetaBUILD 2 Hackathon and 2021 recap
Trending
-
Technology4 days agoCheche Group Reports First Half 2026 Unaudited Financial Results
-
Technology4 days agoMidea Brings “Simply ideal” to Life at IFA 2026
-
Technology4 days agoToolDance Unveils X1 Smart Desktop CNC Mill at IFA 2026
-
Technology4 days agoAEON Launches Agentic Checkout, Powered by AI Card for Autonomous Commerce
-
Coin Market4 days agoUS law enforcement group moves to ‘neutral’ position on CLARITY Act
-
Coin Market4 days agoSurprise nonfarm payrolls print sends Bitcoin back below 80K
-
Technology5 days agoBreaking Boundaries: EcoFlow Unveils RIVER Gen4 and PowerRock 4000 at IFA 2026
-
Coin Market4 days agoFinCEN ties $13B in crypto scams to non-US operations
