digitalML: Collaborative Design Platform for the Entire API Lifecycle

While growth can be elusive for businesses, the strategy behind it is straightforward: digital has expanded options for growth twofold. For each traditional strategy, a firm has a new digital option and CIOs are under constant pressure from organizations to rapidly implement new digital strategies for this successful growth. “The bigger the enterprise the more difficult it gets as most of the new initiatives have to overcome the issue of how to get the data which exists in a sea of multiple platforms and years of point to point integration,” says Jeremy Sindall, CEO of digitalML. Developing a well-designed portfolio of internal API’s is now being recognized as the way to rise against these challenges and New York based digitalML is uniquely positioned to help the organizations in reaching this goal effectively.

digitalML's ignite service design platform provides organizations with a single, collaborative platform for the entire API, Micro Service, and Web Ser¬vice design life cycle. By automating this lifecycle, ignite enables the clients to deliver more services in a fraction of the time, dramatically improving efficiency, governance, and reducing the costs of your IT organization. Ignite, facilitates effective use of this portfolio to remove bottlenecks and development silos, transforming an IT organization in order to deliver more successful projects in a fraction of the time and cost. digitalML was founded at the end of the dotcom era with the long term vision of disrupting the enterprise software space. “In this new world, enterprise software companies would look very different to the previous generation, digitalML therefore adopted four pillars of strategy for its evolution,” explains Sindall. The strategy includes focusing top down on the world’s largest enterprises, second, to form a close partnership with these accounts through great service and a long-term approach. The third pillar is to leverage these relationships to drive product direction and innovation, “and the fourth is to reinvent every aspect of how enterprise Software Company does business,” adds Sindall.

ignite platform replaces a set of manual processes supported by file based tools like Excel. With different modules, the platform supports the various stages of the development lifecycle. The lifecycle consists of the stages of planning, designing and building API’s and services. The platform can also be integrated with API, Micro Services, and ESB runtime products for deployment. “Most large enterprises already have existing API’s and services that can be merged into ignite, as part of the portfolio.
Jeremy Sindall, CEO
ignite allows these to be imported, managed in the design time, and where required, evolved to gold standard APIs,” delineates Sindall.

“The two broad areas of change that our customers need to make in the API area include an overhaul of the API design lifecycle to ensure best quality and leveraging the portfolio across the enterprise to the fullest effect.”

The company has an impressive list of clients including Walmart, Anthem, Capital One and Allstate amongst others. The success stories of digitalML exemplifies how customers have been able to deliver more new digital applications in a short time.

The two broad areas of change that our customers need to make in the API area include an overhaul of the API design lifecycle to ensure best quality and leveraging the portfolio across the enterprise to the fullest effect

In the days to come, digitalML is looking forward to launch a new module called Developer + which will be capable of extracting the information from the specifications to generate the orchestration code, test conditions, and documentation as well as the transformation code. Sindall believes that the company will help customers learn from the past data integration mistakes and for the future, focus on data in motion, rather than data at rest.


New York, NY

Jeremy Sindall, CEO

Creating a standardized portfolio of services modeled on federated, centralized Canonical models and maximum reuse of common interfaces

Whitepapers of DigitalML