EMB Global Aims to Revolutionize IT models with AI outsourcing

AI Outsourcing

EMB Global is taking aim at traditional tech outsourcing models with a an AI-first approach designed to replace bloated service models with agile, intelligent teams. According to a press release published by the company. EMB blends its proprietary AI system, called Aura, with a curated network of domain-specific human experts to deliver faster, leaner, and more adaptable solutions across key industries.

Key Highlights:

• Founded in 2018, EMB Global has raised over $25 million and operates in 23 countries.

• Its Aura AI platform, powered by Small Language Models, automates up to 80% of key project functions, including requirement gathering and project management.

• EMB leverages a network of 1,500+ boutique agencies for domain-aligned expertise in sectors such as fintech, healthcare, logistics, and retail.

• Clients report 52% faster delivery times and 35% cost reductions, according to co-founder Nishant Behl.

• EMB has committed $5 million to scaling its AI infrastructure, with another $25 million earmarked for AI R&D over the next two years.

“The legacy outsourcing model was built for a different era—one where inefficiency was profitable and nuance didn’t matter,” said Rohan Barua, Co-founder of EMB Global. “That doesn’t cut it anymore.”

CEO Nishant Behl added, “We’re giving companies tech capabilities that were once the exclusive domain of tech giants.”

Company Background:

EMB Global was founded to disrupt traditional IT outsourcing by blending automation with specialization. As enterprise demand for tailored AI-enabled services accelerates, EMB positions itself as a high-impact, lean alternative to the legacy model of headcount-driven billing.

TheMarketAI.com Take:

Outsourcing has long been a cornerstone of globalization and communication, driving efficiency gains from the 1990s to today. AI-powered outsourcing represents a compelling next phase—where companies can not only replace traditionally outsourced functions like programming, but also tap into specialized AI capabilities they may lack in-house.