
Hidden AI Infrastructure Costs Startups Ignore During MVP Development
Most founders budget for AI development. Very few budget accurately for the operating systems and services required to run an AI product after launch. Development
Seema Awasthi is a Business Development Manager at Quickway Infosystems, specialising in IT staffing, dedicated development teams, and product engineering solutions for technology-driven businesses. She works directly with CTOs, IT Directors, and engineering leaders across the US, UK, UAE, and Australia to scope and deploy dedicated development teams for ongoing product and technology initiatives.
Her expertise includes remote team scaling, dedicated development models, MVP-to-scale product engineering, and legacy system modernisation across .NET, MEAN, MERN, React, Node.js, and Flutter technology stacks. She has contributed to 50+ client engagements across FinTech, HealthTech, SaaS, EdTech, e-commerce, and supply chain industries.
Prior to joining Quickway Infosystems, she developed operational experience across the airline and electronics sectors, bringing cross-industry business understanding to client engagement and delivery planning.

Most founders budget for AI development. Very few budget accurately for the operating systems and services required to run an AI product after launch. Development

Most AI vendors can show you a chatbot demo. Far fewer can explain what happens to your infrastructure costs when you go from 1,000 to

MERN stack MVP development succeeds when founders focus on solving real customer problems instead of building every possible feature. Most startup MVPs do not fail
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