Veylo closes funding round and names Haresh Bhungalia executive chairman
Veylo, formerly BlueGenAI, said Oct. 1, 2026, that it closed a funding round from technology investors and operators and appointed investor Haresh Bhungalia as executive chairman. The company plans to use the capital to speed product development, sales expansion and security work for its AI platform that modernizes mission-critical systems.
Why it matters: - Veylo is targeting one of enterprise software’s biggest and most expensive problems: modernizing legacy systems that still run core operations in government and large companies. - The new funding and board leadership are meant to help Veylo scale faster in a market the company pegs at a $1.1 trillion opportunity. - The company says its platform can shorten modernization timelines and cut labor costs while preserving security, compliance and auditability.
What happened: - Veylo announced Oct. 1, 2026, that it closed a funding round from seasoned technology investors and operators. - Veylo also named Haresh Bhungalia, who participated in the round, as executive chairman. - The amount of the round was not disclosed. - The announcement followed the company’s rebrand from BlueGenAI to Veylo.
The details: - Veylo said the capital will support platform development, go-to-market expansion and security programs. - The company is building an AI modernization platform for mission-critical systems used by large enterprises, government agencies and system integrators. - Veylo says its software turns legacy-system complexity into a validated blueprint, then modernizes the system across discovery, build, testing, data migration and deployment. - The platform keeps customer experts in control during the process and generates audit-ready evidence alongside the build. - Veylo says the finished system can be delivered into commercial cloud, GovCloud, private cloud or on-premise environments. - The company estimates more than 11 million outdated enterprise-grade applications are running in the United States. - Veylo also points to industry research showing about 60% of enterprise applications are legacy systems and that many organizations spend most IT budgets maintaining existing systems. - The company estimates the installed base represents a $1.1 trillion addressable market. - Veylo says its platform has been proven on real legacy systems in mission-critical environments and has processed thousands of files across .NET, COBOL, Delphi, AS400, JCL and SQL variants. - On a representative modernization project, Veylo says it reduced a 13- to 27-month effort to about 6 to 20 weeks with half the delivery team. - Veylo estimates that approach can save $2.4 million to $3.3 million in direct labor before other benefits. - The founding team helped build MicroPact and the Entellitrak low-code platform, which was deployed across more than 200 federal agencies and 49 states.
Between the lines: - The funding suggests investor appetite for modernization tools that do more than generate code and can deliver production-ready systems. - Bhungalia’s appointment gives Veylo added enterprise software and government-market experience as the company scales. - Veylo is trying to position AI as a trust layer for modernization, not just a productivity tool for developers. - The company’s pitch is that legacy replacement can become repeatable and faster without giving up traceability, compliance or control.
What's next: - Veylo plans to use the new capital to accelerate its roadmap, expand partner and sales programs, and advance security and compliance efforts. - Bhungalia’s role as executive chairman will help guide the company’s next growth phase. - Veylo will continue targeting enterprises, government agencies and system integrators that need to modernize mission-critical systems.
The bottom line: - Veylo is betting that the next phase of AI in enterprise software is not code generation alone, but end-to-end modernization that can be deployed in regulated, mission-critical environments.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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