In a significant move within the tech services ecosystem, AI engineering provider NextGen Invent has been officially acquired by Straive. Operating from offices in New York and Noida, NextGen Invent’s team will now integrate into Straive’s global operations. The M&A transaction was facilitated by Novistra Capital, acting as the exclusive sell-side advisor.
The deal arrives at a critical moment for enterprise transformation. While artificial intelligence continues to be a must-have tool, fragmented architectures and years of accumulated technical debt have created systems that are nearly impossible to optimize.
Straive has already carved out an important role in the industry through its ability to transform legacy enterprise systems. Now, by bringing NextGen Invent on board, the company expands its engineering service offerings to meet more organizations exactly where they are with tailored solutions.
For the leadership of both companies, this represents a natural alignment of capabilities. Ankor Rai, CEO of Straive, noted: “Straive helps clients build and run AI that replaces and transforms the legacy enterprise. NextGen Invent’s hands-on experience in developing AI solutions and deploying them to transform and automate complex industry-specific workflows fits very well with Straive’s focus on Data & AI Operationalization”.
The founders’ focus is purely on execution. Deepak Mittal, Founder & CEO at NextGen Invent, emphasized this execution-driven approach: “We share a common vision of helping organizations thrive in an AI-first world. By combining our strengths, we bring industry expertise in AI strategy, scalable AI enablement, governance, and modern data platforms. Backed by strong thought leadership, we help businesses move from intent to impact and from strategy to execution, with global reach”.
By pushing organizations past the costly experimentation cycle, the newly combined team aggressively positions itself to capture a massive market opportunity. With an estimated $18 trillion in value currently locked up in public companies due to siloed data, the potential for scalable AI enablement is virtually limitless.
