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Our Story

Engineers, First.

We started ManasAi with a simple conviction: AI shouldn't just be a novelty. It should be an essential part of your engineering infrastructure.

Beyond the Hype

ManasAi didn't start in a boardroom. It started in a workshop. Vikas and Vinod spent years building complex web and mobile applications for clients globally. We saw first-hand the shift from traditional software to the AI era—and we noticed a problem.

Most companies were treating AI as a "shiny toy"—a chatbot that could talk but couldn't actually doanything. We knew that for AI to be truly valuable, it had to be integrated deeply into a company's existing tools and data.

We founded ManasAi to build that bridge. We don't just sell AI; we engineer autonomous layers that connect intelligence to enterprise logic.

The People

Meet the Founders

Vikas Patel

Vikas Patel

Co-Founder & Systems Architect

With over 6 years in full-stack engineering and a deep focus on LLM orchestration, Vikas specializes in building production-grade RAG pipelines and autonomous agentic workflows. He has architected AI solutions for 20+ startups, focusing on transforming static enterprise data into dynamic, actionable intelligence using LangChain and LlamaIndex.

LLM OrchestrationRAG PipelinesAgentic WorkflowsVector Databases
Vinod Kumawat

Vinod Kumawat

Co-Founder & AI Solutions Lead

Vinod brings 5+ years of systems engineering expertise to the "last mile" of AI integration. A specialist in the Model Context Protocol (MCP) and secure AI deployments, he leads the engineering of autonomous decision-making loops that connect LLMs to real-world business tools, ensuring high performance and enterprise-grade security.

MCP ProtocolAutonomous LoopsAI InfrastructureSecure Deployment

Ready to build something real?

Skip the generic demos. Let's discuss how to engineer a custom AI layer that actually drives ROI for your specific enterprise infrastructure.

* All figures regarding founder experience, years in systems engineering, and startup engagements are based on verified internal project tracking, portfolio history, and contract engagements from 2020–2026.