Straive, a global leader in data and artificial intelligence (AI) solutions, has announced the acquisition of SG Analytics (SGA), a company known for its deep expertise in data analytics, ESG (Environmental, Social, and Governance), and market research services. This strategic acquisition aims to enhance Straive’s ability to deliver end-to-end data science, AI/ML, and analytics services, particularly to clients in the BFSI (Banking, Financial Services and Insurance), life sciences, healthcare, technology, media, and telecom sectors. The deal reflects Straive’s focused strategy to expand its capabilities in operationalizing AI and data analytics at scale. The combined strength of both companies is expected to create one of the largest pools of data professionals, with a sharp focus on business outcomes and domain-led delivery.
Also Read: Securonix Acquires ThreatQuotient for Broader Threat Response
“This acquisition reinforces Straive’s commitment to enabling digital transformation for our clients by leveraging data and AI,” said Ratan Datta, President and CEO of Straive. “SGA’s expertise complements Straive’s capabilities, and together, we are well-positioned to deliver higher-end digital services.” Sushant Gupta, Founder and Executive Chairman of SG Analytics, emphasized the alignment of culture and vision between the two firms, stating, “We share a common belief in empowering decision-makers through data and insights. Joining forces with Straive will enable us to scale faster and deliver even more value to our clients.” With support from BPEA EQT, a leading global private equity firm, Straive has been actively growing both organically and through acquisitions. The integration of SGA’s specialized analytics services with Straive’s existing content and data engineering solutions is expected to accelerate innovation and enhance the company’s competitive position in the global market. As organizations increasingly seek partners who can operationalize AI effectively, this move positions Straive to meet evolving client demands across industries, further strengthening its leadership in the AI-driven data solutions space.