Digital.ai is a technology company focused on helping Global 5000 enterprises achieve their digital transformation goals. Its core mission is to unlock endless digital possibilities by harmonizing the delivery of software. Digital.ai aims to enable technology-driven enterprises to accelerate digital transformation by unifying, securing, and generating predictive insights across the entire software development and delivery lifecycle. This involves helping customers integrate the software development lifecycle and gain a better understanding of business value through analytics, machine learning, and artificial intelligence.
The company’s primary goal is to provide an AI-powered DevOps platform that unifies, secures, and generates predictive insights to enhance business value. Digital.ai strives to help organizations automate software releases, improve mobile application testing and security, and provide insights across the software lifecycle. It seeks to empower large enterprises to use AI responsibly, reduce software-related risks, and increase developer productivity to deliver innovations that drive business outcomes. Digital.ai is recognized for its enterprise agile planning solutions and its platform that supports complex, heterogeneous environments, including mainframe, on-premises, and cloud deployments. The company positions itself as a leader in value stream management, combining technologies in agile planning, application protection, software delivery, and artificial intelligence.
Offerings, Capabilities, and Integrations
Digital.ai offers an AI-Powered DevSecOps platform designed to automate software delivery, enhance mobile application testing and security, and provide insights across the entire software lifecycle. This platform integrates a set of solutions to plan, develop, secure, test, release, deploy, and measure results. Key capabilities include enterprise agile planning, source control management, application security, continuous testing, release orchestration, and deployment automation. Digital.ai’s platform leverages AI and machine learning for predictive intelligence, helping teams manage risk, performance, and software quality. This focus on integrated software delivery, specialized mobile app delivery, and built-in AI provides Digital.ai with a competitive edge, enabling enterprises to accelerate digital transformation and improve the ROI from their software investments. The platform’s ability to unify data from both Digital.ai products and third-party tools into a common data foundation allows for persona-based analytics and real-time insights. Digital.ai supports numerous integrations with existing CI/CD, agile, ITSM, and observability tools, allowing customers to leverage their current toolchain investments.
Products and Services
Digital.ai’s core offering is its AI-Powered DevSecOps Platform, which encompasses several distinct products and services:
- Agility: This product focuses on enterprise agile planning, enabling organizations to drive strategic value and achieve predictable, outcome-based software delivery at scale.
- Application Security: This offering is designed to protect and monitor applications, automatically reacting to threats and attacks. It includes features like obfuscation, anti-tamper, and anti-analysis. A recent addition is the Quick Protect Agent, which helps businesses protect mobile applications quickly without requiring coding.
- Continuous Testing: This service allows for automated functional, performance, and accessibility testing for web and mobile applications to ensure high-quality customer experiences. It supports integration with various development tools, IDEs, testing frameworks, and CI environments.
- Release: Formerly known as XebiaLabs XL Release, this product is for release management within Continuous Delivery (CD) workflows. It enables teams to orchestrate and automate the entire DevOps pipeline, manage complex release pipelines, and gain visibility into release status.
- Deploy: This product automates software deployment at scale across hybrid infrastructures, aiming to improve DevOps efficiency and ensure governance and compliance.
- Intelligence: This service provides AI-powered insights and analytics across the software lifecycle, helping teams make informed trade-off decisions to stay on track and deliver value. It includes capabilities like Change Risk Prediction.
- Platform: This refers to the integrated set of shared services and applications that provide a unified experience, including identity management and unified administration across all Digital.ai applications and portals.
- TeamForge: This product is a source control management solution that helps ensure governance, compliance, and code security standards are maintained during development.
- App Management: A mobile application management platform supporting the complete mobile app lifecycle.
A recent significant update to the platform is the Erawan release, which enhances capabilities to automate software delivery workflows, improve developer experience, govern AI-assisted development, and optimize decision-making. This release also includes a new integration with Backstage to merge release orchestration and deployment management into platform engineering initiatives. The Digital.ai Platform is considered its flagship offering, combining these individual products into a comprehensive solution.
Target Customers
Digital.ai targets large enterprises and Global 5000 companies across various industries that are undergoing digital transformation and looking to improve their software development and delivery processes. This includes organizations in regulated and complex environments, such as financial services and government entities. Digital.ai’s solutions are designed for businesses that need to manage the scale and complexity of large organizations, including those with hybrid cloud environments and extensive existing toolchains. Target customers benefit from Digital.ai’s platform by being able to automate software releases, improve mobile application testing and security, and gain predictive insights across the software lifecycle. This helps them to reduce software-related risk, amplify developer productivity, accelerate innovation, and ultimately drive better business outcomes. Companies aiming to govern AI-assisted development, deliver secure and high-quality mobile applications, and transition to the cloud in complex environments are also key target customers. Digital.ai also serves specific needs such as those of game developers like FromSoftware, who use its application security to protect game integrity.
Cloud Integrations and Marketplaces
Digital.ai offers several cloud integrations and maintains a presence on major cloud marketplaces, enabling its customers to leverage cloud services and streamline their software development and deployment processes. Digital.ai’s platform is designed to support hybrid environments, integrating with on-premises, mainframe, and cloud infrastructures.
- Microsoft Azure: Digital.ai provides integrations with Azure DevOps to facilitate continuous integration (CI) and continuous deployment (CD). Its tools help automate builds, run tests, ensure code quality, and manage deployments within the Azure ecosystem. Digital.ai Deploy offers a plugin for Microsoft Azure, allowing users to provision Virtual Machines, Containers, and deploy FunctionApps and WebApps. Digital.ai Release integrates with Azure KeyVault for cloud-native secret management. Digital.ai Agility also integrates with Azure DevOps (formerly TFS and VSTS) to provide real-time visibility and traceability between project management and development teams. While Digital.ai itself is not directly listed as a transactable offer on the Azure Marketplace in the search results, its platform and plugins are designed to work extensively with Azure services.
- Amazon Web Services (AWS): Digital.ai has a presence on the AWS Marketplace. Several Digital.ai products are available, including Digital.ai Agility for enterprise agile planning, Digital.ai Application Security for building secure software, Digital.ai Continuous Testing for web and mobile app testing, and Digital.ai Release for release orchestration. Digital.ai Deploy features an AWS plugin that supports launching, managing, and configuring various AWS services, including creating AWS ECS resources like cluster instances, ECS tasks, and services. Digital.ai Release also integrates with AWS Secrets Manager for cloud-native secret management.
- Google Cloud Platform (GCP): Digital.ai is listed on the Google Cloud Marketplace. The listing indicates that Digital.ai enables enterprises to accelerate digital transformation with its AI-powered DevOps Platform. Digital.ai Deploy offers a Google Cloud Compute plugin, which allows users to deploy Digital.ai Deploy instances on the Google Cloud Platform. This plugin supports the deployment of Instance Specs, Template Specs, and DialogFlow Agent Zip Specs. Digital.ai also provides guidance on building CI/CD pipelines on Google Cloud, leveraging services like Cloud Build and Google Kubernetes Engine (GKE).
Digital.ai’s platform also features an integrations marketplace with numerous third-party integrations to further automate software delivery and gather intelligence from various CI/CD, agile, ITSM, and observability tools.
Key People
- Chief Executive Officer: Derek Holt.
- Chief Revenue Officer: Mike Davey.
- Chief Customer Officer: Keith Stewart.
- Chief Product Officer: Nicholas Grabowski.
- General Counsel: Patricia Prince-Taggart.
- General Manager of the Intelligent DevOps business unit: Wing To.
- Executive Chairman: Stephen Elop.
- Board Member (TPG): Nehal Raj.
- Board Member (TPG): Art Heidrich.
- Field CTO: Adam Kentosh.
Key Facts
- Headquarters Location: Raleigh, NC, United States.
- Number of Employees: Approximately 1,000 – 1,194.
- Annual Revenue: Approximately $234M – $750M.
- Parent Company: TPG Capital.
- Subsidiary Companies: Approximately 5-7, including CollabNet VersionOne, XebiaLabs, Arxan Technologies, Numerify, and Experitest.
- Publicly Listed: No.
Analyst Recognition
Digital.ai has been recognized by several leading analyst groups across various technology categories:
- Gartner: Digital.ai was named a Leader in the Gartner Magic Quadrant for Enterprise Agile Planning Tools in April 2022, April 2021, and April 2020. Gartner highlighted Digital.ai Agility as a leading product in this market, noting its AI-powered value stream delivery and management platform. In the 2021 Gartner Critical Capabilities for Enterprise Agile Planning Tools, Digital.ai received the highest score in the Single Scrum and Product Portfolio use cases, and the second highest score in the Single Lean/Kanban Team, Project and Program Portfolio, and SAFe use cases. In 2022, Digital.ai again received the highest scores in two use cases for the Critical Capabilities for Enterprise Agile Planning Tools: digital product portfolio and Scaled Agile Framework® (SAFe®) support.
- Forrester: Digital.ai has received multiple recognitions from Forrester. Digital.ai was named a Leader in The Forrester Wave™: Value Stream Management Solutions, Q4 2022 and Q3 2020. Digital.ai was also named a Leader in The Forrester Wave™: Continuous Delivery and Release Automation, Q2 2020. Digital.ai was recognized as a Contender in The Forrester Wave™: Strategic Portfolio Management Tools, Q1 2022 and Q2 2024. Additionally, Digital.ai was named a Contender in The Forrester Wave™: Continuous Automation Testing Platforms, Q4 2022.
- IDC: Digital.ai was named a Leader in the IDC MarketScape: Worldwide Value Stream Management and Agile Project and Portfolio Management 2023-2024 Vendor Assessment. Digital.ai was also recognized in the IDC MarketScape Worldwide Agile Project & Portfolio Management 2020 Vendor Assessment and the IDC MarketScape Worldwide Mobile Testing and Digital Quality in March 2020. Furthermore, Digital.ai was named a Major Player in the IDC MarketScape: Worldwide Cloud Project and Portfolio Management 2023–2024 Vendor Assessment.
Digital.ai has not been explicitly mentioned in the provided search results as being recognized by the Everest Group within the specified technology categories.
