Devsinc

One delivery team for large organisations

For larger organisations, Devsinc combines AI tooling with structured delivery in its software engineering work. It says it has more than fifteen years on the market, over 1,200 professionals and more than 250 active clients. Its pitch is that many partners sell capacity, while it sells outcomes: one team takes a project from discovery through integration and support, with AI tooling built into delivery to shorten timelines, and work is priced and measured against the business result.

Eight service areas

Application engineering covers custom software plus web and mobile applications written by senior engineers. AI and data systems add data engineering, machine learning and generative AI to a client's product. Solution implementation is about rolling out Salesforce, Dynamics 365, Power Platform and Shopify from start to finish. Cloud and infrastructure work includes migration, DevSecOps and building cloud platforms. Advisory and strategy produces roadmaps and readiness reviews that help a client plan its next technology move. A product studio for startups takes an idea from validation to a launch-ready MVP in 90 days, a game studio covers full-cycle game development from art to multiplayer systems, and staff augmentation embeds vetted engineers in a client's team on demand.

How it describes the AI shift

The company frames its work as helping organisations modernise applications, unify data, automate workflows and speed up innovation with AI at the centre. It also publishes guides on the Salesforce maturity model and on agentic Dynamics 365, and it reports a partnership with IGI Insurance aimed at a digital-first experience for insurance customers.

Case studies

Case studies on its site include staff augmentation for an HR software platform, a unified commerce build on Shopify Plus for a beauty wholesaler that cut wholesale checkout time by 40 percent, and a predictive analytics engine.

Where it started

Earlier versions of its site presented Devsinc as a platform for vetting and hiring developers, designers, QA engineers, AI engineers and digital marketers matched to a client's time zone and working model. It then cited a bench of more than 45 QA engineers and used tools such as Jira and Slack to communicate with clients.