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Solutions
A working first version of an AI product: core workflow, accounts, and a path to production.
Typical investment ₹3L–₹6L
An AI idea stays a demo until it has users, data boundaries, and a deployable product.
We take the idea from a prototype to a production-ready MVP: the core AI workflow, authentication, an admin view, and deployment.
SR Infotech ships its own products, including a WhatsApp AI assistant for schools. That is product evidence, not a promise that every MVP will match that scope.
View case studies₹3L–₹6L
Typical investment. Indicative investment ranges. Final pricing depends on scope, integrations, complexity, and delivery requirements. Final scope is determined after discovery.
Typical investment is ₹3L–₹6L. Model usage, document volume, voice, and payment integrations change the scope. We price the MVP after the core user journey is clear.
Yes. The goal is a usable first product: one primary workflow, a maintainable codebase, and deployment. Extra features can follow in a later phase or a retainer.
Yes, when retrieval or tool use solves the product workflow. We use LLMs with your documents or systems rather than a generic chatbot demo.
It depends on scope, integrations, and how ready the requirements are. After a short discovery we propose a milestone plan. Smaller website and automation work is usually shorter than a custom software system or an AI MVP.
Yes. After launch, ongoing engineering can continue as an AI and software retainer covering fixes, features, automation, and support. A retainer is optional.
Yes. SR Infotech is based in Ahmedabad and works remotely with businesses. Meetings, written scope, and delivery are handled online.