Less Than Two Years Old and Already Being Acquired: SuperManager AGI in ₹50 Crore Talks With a Fortune 100 Giant
SuperManager AGI, an enterprise agentic AI startup founded in early 2025 by IIT Dharwad alumnus Nirmal Nambiar and Aditya Sharma, is in active acquisition talks with an unnamed Fortune 100 global firm at a proposed valuation of around ₹50 crore. The startup - formerly known as Oqlous AGI - builds autonomous AI agents for project management and execution, serves 100+ organisations including Fortune 100 companies, is backed by Perplexity, and has strategic partnerships with Sarvam AI, Swiggy, Eternal, and Z.ai.
Most startups spend their first two years trying to survive. SuperManager AGI spent its first eighteen months building a product, landing Fortune 100 clients, securing a backing from Perplexity, and is now on the verge of being acquired by one of the world's largest companies.
Enterprise AI startup SuperManager AGI is in an active acquisition process with a Fortune 100 global firm, according to sources aware of the development. The proposed transaction is valued at around ₹50 crore and is currently under process, with both sides working towards closing the deal. The identity of the prospective acquirer could not be ascertained, and it is not immediately clear whether the parties have signed a definitive agreement.
What SuperManager AGI Builds
Founded in early 2025 by Nirmal Nambiar and Aditya Sharma, SuperManager AGI develops an enterprise agentic AI platform that enables businesses to deploy autonomous AI agents across project management and execution. The company was initially launched as Oqlous AGI before rebranding earlier this year.
The platform is built on the company's proprietary Beehive Agentic Architecture and Agentic Data Architecture - both of which have been published as peer-reviewed research papers, giving the startup an unusually strong intellectual property foundation for a company of its age. The architecture enables AI agents to operate autonomously across complex, multi-step business workflows - not just answering queries or summarising documents, but executing tasks end-to-end.
The Team Behind It
Nambiar, an IIT Dharwad alumnus, previously worked as a product manager at Microsoft before co-founding the company. Sharma leads technology development. If the acquisition completes, the founding team is expected to join the acquirer to help scale the platform globally - a structure that converts the acquisition into a talent-plus-technology transaction, with Nambiar and Sharma continuing to build from within a Fortune 100 organisation rather than walking away.
Traction That Explains the Interest
What makes the acquisition story credible is the traction SuperManager AGI has assembled in an extraordinarily short time. The company says it serves more than 100 organisations, including Fortune 100 companies - meaning the prospective acquirer may already be a customer evaluating whether to buy rather than renew. It is backed by Perplexity, the AI search company that has itself become one of the most credible validators in the enterprise AI ecosystem. And it counts Sarvam AI, Eternal, Swiggy, and Z.ai among its strategic partners - a set of relationships that spans India's leading AI infrastructure player, one of its largest consumer internet companies, and its most widely used food delivery platform.
The Bigger Trend
The proposed acquisition, if completed, would reflect a pattern that is accelerating rapidly across the enterprise AI sector. Consulting firms, technology companies, and large enterprises are increasingly choosing to acquire agentic AI capabilities rather than build them from scratch - both because the talent is hard to hire and because the architectural decisions being made by startups like SuperManager AGI today will define how enterprise AI functions for years.
For a startup incorporated in early 2025 to be in acquisition talks with a Fortune 100 firm by August 2026 - at any valuation - is a signal of how quickly the agentic AI market is moving and how seriously large companies are treating the competitive threat of falling behind on AI execution capability.
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