SaaS Applications

Custom SaaS platform development starts at ₹1,50,000. Final cost depends on scope — features, user roles, integrations, and whether you're building a lean MVP or a full platform. SaaS products with multi-tenant architecture, subscription billing, admin dashboards, and reporting are larger engagements. The right question isn't only 'how much does SaaS cost' — it's 'what does this specific product need to validate, and what can be deferred to phase two'.

A well-scoped SaaS MVP can ship in 6 to 12 weeks. The timeline depends on how many workflows the MVP needs to cover, how complex the data model is, whether billing needs to be built from scratch, and how quickly decisions get made during the build. MVPs that try to cover too many features aren't MVPs — they're v1.0s with long build times. We help define the smallest scope that actually tests the product hypothesis.

Multi-tenant architecture means a single application serves multiple customers with each customer's data isolated from others. It's the standard model for SaaS products because it's more efficient to operate than running separate instances per customer. Whether you need it from day one depends on your product — some early-stage products start simpler and migrate later. We design the architecture based on your growth model and what your customers will require in terms of data isolation.

Yes — and for most products, this is the right approach. The key is building the MVP with the right architectural foundations so scaling doesn't require a full rewrite. We build MVPs with production-grade code, not throwaway prototypes — sensible data models, clean API design, and an auth system that won't need to be replaced when you add enterprise SSO or multi-tenancy later.

Yes. Subscription billing is a core part of most SaaS products — plan management, trial periods, upgrades, downgrades, invoicing, and payment failure handling. We integrate Stripe for global products and Razorpay for India-focused ones, including GST-compliant invoicing. Billing logic is consistently one of the most underestimated parts of SaaS development — getting it right early saves significant pain at scale.