Darwinbox Completes 3rd ESOP Buyback in 4 Years, Reinforcing Commitment to Share Success with Employees
Darwinbox, a leading global provider of AI-powered HR technology, has successfully completed an INR 86 crore Employee Stock Ownership Plan (ESOP) buyback, the third such program in just four years. Over 350 employees spread across the company's 11 global offices in India, North America, Southeast Asia, and the Middle East, benefited from this buyback round.
This marks Darwinbox's third buyback in just four years, reflecting the company's continued commitment to rewarding the people behind its growth and building shared success as it scales globally.
'At Darwinbox, we've always believed that those who help build value should share in it. Even as we invest deeply in innovation and global growth, we remain equally committed to creating meaningful outcomes for our people. This buyback, like the ones before, reflects our belief in sharing success with our people and building a culture of ownership,' said Jayant Paleti, Co-founder, Darwinbox.
'Talent has always been at the heart of what we do at Darwinbox, and we've been intentional about ensuring they grow with the company—not just in impact, but also in wealth creation. Some of the best minds from the industry have joined us to help shape the future of work. As we double down on R&D to power an AI-first world, we're excited to welcome great talent on this journey,' said Chaitanya Peddi, Co-founder at Darwinbox.
In March 2025, Darwinbox added global private equity giants Partners Group and KKR to its cap table through a $140 million deal—further strengthening its position to lead on two critical fronts: deep technology innovation and global market expansion.
That momentum is evident in a series of breakthrough AI product launches. Darwinbox recently became the first-ever HCM platform globally to launch an MCP (Model Context Protocol) Server, enabling any compatible AI agent to interact securely with HR data and workflows on the platform. The company's GenAI engine, Darwinbox Sense, now delivers over 40+ embedded AI capabilities, driving smarter decisions and elevated experiences. Darwinbox also recently rolled out a multi-country payroll solution across 10 new geographies within the last year, solidifying its capability to serve complex global organizations.
Darwinbox powers modern HR technology experiences for over 4 million employees across 1000+ enterprises, from large conglomerates to high-growth tech companies. Brands like Starbucks, McDonald's, AXA, Cigna, WeWork, Airtel, and Vedanta trust the platform to power their people strategies at scale.
The trust of its customers is paralleled by analyst recognition. Darwinbox has been named a Customers' Choice on Gartner Peer Insights for four years in a row. It is also the youngest and only Asian company to be recognized as a Challenger in the Gartner Magic Quadrant for Cloud HCM Suites for enterprises with over 1,000 employees, validating its growing global influence in a space long dominated by legacy players.
Disclaimer: The above press release comes to you under an arrangement with Business Wire. Business Upturn takes no editorial responsibility for the same.
Ahmedabad Plane Crash
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
32 minutes ago
- Yahoo
DefectDojo Enables AI-First Cybersecurity with MCP Support
Cybersecurity teams retain flexibility of using their AI model of choice and can remain confident that their data is secure AUSTIN, Texas, June 24, 2025--(BUSINESS WIRE)--DefectDojo, the leader in scalable security, unified vulnerability management and DevSecOps, today announced the launch of Model Context Protocol (MCP) support in DefectDojo Pro, providing cybersecurity teams the ability to safely take an AI-first approach to organizational security. Dojo Pro users can now connect the platform to any third-party or custom model that supports MCP to create a more effective cybersecurity AI with one simple setup. According to Takepoint Research, 80% of cybersecurity professionals thought that the benefits of AI usage in industrial cybersecurity outweighed its risks, but system integration was labeled a major challenge by 68% of respondents in the same survey. The open-source MCP, developed by Anthropic and backed by industry-leading companies like OpenAI, solves several major issues with incorporating AI into cybersecurity as the first protocol that treats context-sharing between software and AI like an API call. Thanks to over a decade of development of its various features and robust API, Dojo Pro is well-positioned to accommodate AI integration. With a now seamless flow of information between Dojo Pro and an AI model via an MCP connection, any model can now become as capable as Dojo Pro in intelligently deduplicating and auto-triaging findings, distinguishing between different vulnerabilities and providing insights into security posture scoring while retaining natural language processing capabilities for conversational interactions. DefectDojo's MCP support takes a number of additional precautions to strengthen the security infrastructure surrounding the protocol's implementation. Each MCP deployment is done on a per customer basis, ensuring the separation of data. The feature will also be rolled out in phases, starting with Dojo Pro super users. Based on feedback from these users, DefectDojo will continue to roll out MCP support to other Dojo Pro user-roles. "Make no mistake: MCP is a game changer for fully functional AI-enabled cybersecurity. At DefectDojo, however, we prioritize delivering features that are meaningful, accurate, accessible, and, most importantly, safe. We only developed and released our MCP after careful analysis to ensure we could do so in a safe way for our customers," said Greg Anderson, CEO and founder of DefectDojo. "We're building a future of cybersecurity that preserves the flexibility our platform is known for and incorporates opt-in AI-forward features at scales cybersecurity hasn't seen yet. MCP is just our first step." DefectDojo's MCP support represents another groundbreaking feature for the Dojo Pro platform. This spring, Dojo Pro became the first platform of its kind to unify AppSec and Security Operations Center (SOC) on one platform with the launch of next-gen SOC capabilities in addition to its AppSec capabilities. DefectDojo's roadmap, including SOC capabilities and the next AI-focused features in development, is informed by direct customer feedback and use cases. Built by and for cybersecurity professionals, Dojo Pro is designed to efficiently scale for the needs of organizations of any size and neatly organize vulnerability data into one easy-to-use platform with a risk-based approach. DefectDojo's customer base includes Fortune 10 companies, international banks and other financial institutions, government agencies, and solo consultants alike. The open-source OWASP Edition of the platform has been downloaded over 43 million times and is one of the fastest-growing open-source cybersecurity platforms on GitHub as measured by the Open Source Security Index. To learn more about DefectDojo and get started with either the OWASP Edition or Dojo Pro, contact hello@ About DefectDojo DefectDojo is the engine that drives DevSecOps, providing an open, scalable platform that connects security strategy to execution. By aggregating data from any security tool, automating manual processes, and delivering AI-powered insights, DefectDojo empowers organizations to have a unified view of security posture, automate operations to increase productivity and improve decision-making. For more information, visit or follow us on LinkedIn or GitHub. View source version on Contacts Media defectdojo@
Business Wire
35 minutes ago
- Business Wire
DefectDojo Enables AI-First Cybersecurity with MCP Support
AUSTIN, Texas--(BUSINESS WIRE)-- DefectDojo, the leader in scalable security, unified vulnerability management and DevSecOps, today announced the launch of Model Context Protocol (MCP) support in DefectDojo Pro, providing cybersecurity teams the ability to safely take an AI-first approach to organizational security. Dojo Pro users can now connect the platform to any third-party or custom model that supports MCP to create a more effective cybersecurity AI with one simple setup. Make no mistake: MCP is a game changer for fully functional AI-enabled cybersecurity. According to Takepoint Research, 80% of cybersecurity professionals thought that the benefits of AI usage in industrial cybersecurity outweighed its risks, but system integration was labeled a major challenge by 68% of respondents in the same survey. The open-source MCP, developed by Anthropic and backed by industry-leading companies like OpenAI, solves several major issues with incorporating AI into cybersecurity as the first protocol that treats context-sharing between software and AI like an API call. Thanks to over a decade of development of its various features and robust API, Dojo Pro is well-positioned to accommodate AI integration. With a now seamless flow of information between Dojo Pro and an AI model via an MCP connection, any model can now become as capable as Dojo Pro in intelligently deduplicating and auto-triaging findings, distinguishing between different vulnerabilities and providing insights into security posture scoring while retaining natural language processing capabilities for conversational interactions. DefectDojo's MCP support takes a number of additional precautions to strengthen the security infrastructure surrounding the protocol's implementation. Each MCP deployment is done on a per customer basis, ensuring the separation of data. The feature will also be rolled out in phases, starting with Dojo Pro super users. Based on feedback from these users, DefectDojo will continue to roll out MCP support to other Dojo Pro user-roles. 'Make no mistake: MCP is a game changer for fully functional AI-enabled cybersecurity. At DefectDojo, however, we prioritize delivering features that are meaningful, accurate, accessible, and, most importantly, safe. We only developed and released our MCP after careful analysis to ensure we could do so in a safe way for our customers,' said Greg Anderson, CEO and founder of DefectDojo. 'We're building a future of cybersecurity that preserves the flexibility our platform is known for and incorporates opt-in AI-forward features at scales cybersecurity hasn't seen yet. MCP is just our first step.' DefectDojo's MCP support represents another groundbreaking feature for the Dojo Pro platform. This spring, Dojo Pro became the first platform of its kind to unify AppSec and Security Operations Center (SOC) on one platform with the launch of next-gen SOC capabilities in addition to its AppSec capabilities. DefectDojo's roadmap, including SOC capabilities and the next AI-focused features in development, is informed by direct customer feedback and use cases. Built by and for cybersecurity professionals, Dojo Pro is designed to efficiently scale for the needs of organizations of any size and neatly organize vulnerability data into one easy-to-use platform with a risk-based approach. DefectDojo's customer base includes Fortune 10 companies, international banks and other financial institutions, government agencies, and solo consultants alike. The open-source OWASP Edition of the platform has been downloaded over 43 million times and is one of the fastest-growing open-source cybersecurity platforms on GitHub as measured by the Open Source Security Index. To learn more about DefectDojo and get started with either the OWASP Edition or Dojo Pro, contact hello@ About DefectDojo DefectDojo is the engine that drives DevSecOps, providing an open, scalable platform that connects security strategy to execution. By aggregating data from any security tool, automating manual processes, and delivering AI-powered insights, DefectDojo empowers organizations to have a unified view of security posture, automate operations to increase productivity and improve decision-making. For more information, visit or follow us on LinkedIn or GitHub.
Yahoo
an hour ago
- Yahoo
Tricentis Leads New Era of Agentic AI to Scale Enterprise-Grade Autonomous Software Quality
Company announces two industry firsts for autonomous testing: Remote Model Context Protocol (MCP) servers and Tricentis Agentic Test Automation New AI workflow capabilities enable users of all skill levels to accelerate testing and boost productivity Advancements mark a major step forward in vision to empower organizations with flexible, open access to AI to accelerate enterprise testing workflows AUSTIN, Texas., June 24, 2025--(BUSINESS WIRE)--Tricentis, a global leader in AI-enabled software quality engineering, today unveiled a bold new chapter in its agentic AI strategy with two industry-first innovations that aim to redefine the future of software testing for the enterprise. The company is launching remote Model Context Protocol (MCP) servers for enterprise testing and Tricentis Agentic Test Automation, as well as the beta launch of new AI workflow capabilities. Designed to perform high-value testing tasks with minimal human effort, these developments mark a pivotal step in the company's agentic AI strategy, giving customers ultimate flexibility in how they build, deploy, and scale AI-powered testing, whether through their own models or Tricentis' agents. Industry-first remote MCP servers to access enterprise ready testing tools: Open, secure, and built for enterprise AI Tricentis is the first major quality engineering platform to deliver secure remote MCP servers – the "UI for AI" infrastructure that allows AI agents to interact directly with enterprise-grade testing tools like Tricentis solutions Tosca, NeoLoad, and qTest. The company is also offering an on-premises option for SeaLights. MCP enables customers and partners the flexibility to co-develop solutions with Tricentis or build their own, whether using Anthropic's Claude AI assistant or third-party agents powered by OpenAI or platforms like Cursor. This supports a variety of critical use cases for high-quality software – and this open, modular framework ensures organizations can tailor their AI strategy to fit their unique software quality needs on their own terms and at their own pace. "We're excited about where Tricentis is going with their agentic strategy," said Paul DiGrazia, VP Quality Engineering, Wolters Kluwer. "Being part of their co-development program, our testing team gained early access to Tricentis remote MCP servers and it's been a major unlock. Our engineers can now explore ideas and iterate faster with Tricentis tools just by describing to AI what they want. It's a shift from using tools to collaborating with them, and it's going to help transform how we do Quality Engineering at Wolters Kluwer." "The launch of Tricentis remote MCP servers represents a major innovation that enables partners like TTC Global to seamlessly integrate Tricentis AI models into our AI Enhanced Quality Engineering platform," said Chris Rolls, CEO Americas, TTC Global. "This advancement helps us accelerate test design, improve model accuracy across channels, and significantly boost productivity in our automation workflows. The result is smarter, more connected testing that drives higher quality at speed for our clients." Tricentis Agentic Test Automation, your autonomous colleague Tricentis Agentic Test Automation introduces the first AI agent capable of generating complete test cases from natural language prompts, analyzing prior test runs, and adapting to enterprise-specific context. Generally available in July, the solution benefits from Tricentis' decades of AI-based testing expertise to make intelligent decisions based on an organization's testing history, requirements, and environment — freeing teams to focus on strategic outcomes. By leveraging Tricentis' proprietary Vision AI technology, Tricentis Agentic Test Automation can also interpret visual elements across platforms, making it technology-agnostic and ideal for complex enterprise environments like SAP Fiori and web applications. It integrates with Tricentis Tosca, and early adopters have reported up to 85% time savings in test creation and 60% gains in overall productivity. New AI workflows: Persona-aware, chat-based, and outcome-driven The beta release of Tricentis AI workflows introduces intuitive, persona-aware interfaces that allow users of all skill levels to engage with AI. These workflows enable seamless communication between agents and between humans and agents, supporting tasks such as test case generation, test data management, and manual test automation. To explore Tricentis' new AI workflows, sign up here. A flexible AI strategy for a hybrid future Tricentis' agentic AI strategy is grounded in flexibility, value realization, and responsible innovation — designed to democratize access to AI to drive software quality through an end-to-end, hybrid-ready approach. These innovations mark the beginning of a broader roadmap to bring agentic AI into every corner of the software quality lifecycle. "In IT, everything eventually converges into a hybrid model," said Kevin Thompson, Chief Executive Officer, Tricentis. "That's why we're not prescribing a one-size-fits-all approach. With MCP and Tricentis Agentic Test Automation, we're giving our customers the flexibility to build their own AI agents or use ours — whichever best fits their strategy. Together, these innovations start to bring our agentic AI vision to life, where AI doesn't just assist — it acts to drive productivity, reduce risk, and transform how testing gets done." Over the second half of the year, Tricentis expects to announce further new agentic and autonomous AI capabilities. Additional Resources Webinar: A new era of agentic testing: Introducing remote MCP, Agentic Test Automation, and AI workflow capabilities Blog: Tricentis unveils three major steps in AI-powered software testing Website: Industry-first enterprise agentic AI, built on industry-leading test automation About Tricentis Tricentis is a global leader in continuous testing and quality engineering. The Tricentis AI-based, continuous testing portfolio of products provide a new and fundamentally different way to perform software testing. An approach that's totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Widely credited for reinventing software testing for DevOps, cloud, and enterprise applications, Tricentis has been recognized as a leader by all major industry analysts, including Forrester, Gartner, and IDC. Tricentis has more than 3,000 customers, including the largest brands in the world, such as McKesson, Allianz, Telstra, Dolby, and Vodafone. To learn more, visit View source version on Contacts Media Contact: Courtney Sign in to access your portfolio
