SaaS Development Services

SaaS MVP development starts around $30,000 for core multi-tenancy, billing, and onboarding. Mid-market platforms with full RBAC, third-party integrations, and analytics run $70,000–$160,000. Enterprise platforms with compliance requirements (HIPAA, SOC 2), AI features, and complex integrations reach $160,000–$300,000+. The pricing section above breaks this down by platform type. The biggest variables are billing model complexity, number of integrations, compliance standards, and whether AI capabilities are part of the core product. We scope costs transparently after a free discovery call — no obligation, NDA protected.

A SaaS MVP with core multi-tenancy, billing, and onboarding typically takes 2–4 months. A mid-market platform with full RBAC, integrations, and an analytics dashboard takes 4–8 months. Enterprise platforms with compliance requirements, AI features, and complex data migrations run 8–14+ months. We build in phases so you can launch with core functionality and add features based on real user data rather than waiting for a complete product before your first customer.

Multi-tenant architecture means a single application instance serves multiple customers — called tenants — with isolated data and configurable settings per tenant. All tenants share the same codebase and infrastructure, which keeps operational costs low while each tenant sees only their own data. It differs from running separate instances per customer, which becomes expensive and operationally complex at scale. Proper tenant isolation is one of the most critical design decisions in SaaS development.

Almost always build an MVP first. Validate that real users want your SaaS product, that they'll pay for it, and at what price point — before investing 6–9 months building enterprise features. Most SaaS products that fail do so because they built what they assumed the market wanted, not what the market actually needed. An MVP lets you find that out in 2–4 months. When you have real customers and traction, you scale confidently into the full product. We build SaaS MVPs specifically designed to grow — no rebuild required when you're ready to scale.

Yes. We take a phased approach to minimize risk and downtime: architecture assessment, multi-tenancy design, cloud infrastructure setup, application re-architecture, data migration, subscription billing integration, and cutover. The approach depends on your current tech stack and how tightly coupled your existing system is. Some applications can be adapted; others are better rebuilt with the existing system running in parallel until migration is complete. We assess honestly and recommend the approach that minimizes risk to your business — not the one that's fastest to quote.

We integrate Stripe, Paddle, Chargebee, and Recurly — covering tiered pricing, flat-rate billing, usage-based billing, free trials, paid trials, upgrades, downgrades, dunning management, invoice generation, and revenue reporting. We also build custom billing logic for business models that off-the-shelf billing systems don't accommodate well. Billing complexity is often underestimated — we've seen SaaS products where billing bugs caused more churn than feature gaps.

Security is designed in from the start, not added after launch. We implement encryption at rest and in transit, SSO via SAML and OAuth 2.0, role-based access control, tenant data isolation, audit logging for all sensitive operations, and penetration testing before launch. For platforms with compliance requirements, we build toward SOC 2 Type II, GDPR, and HIPAA readiness from the architecture phase — so certification is a documentation and process exercise, not a technical retrofit.

Yes — we integrate AI into SaaS products where it creates genuine product differentiation. Common use cases include intelligent analytics and anomaly detection, recommendation engines personalized per tenant, NLP-powered search, automated document processing, and workflow automation using LLMs. We help you determine whether AI is central to your product's value proposition or a supporting feature — because the architecture and cost implications differ significantly.

Yes. Post-launch support includes bug fixes, security patch management, performance optimization, infrastructure scaling, and ongoing feature development. We also provide proactive monitoring — catching issues before your tenants report them. Support is provided under a clear SLA with defined response times for different incident severities. Most of our clients continue with us for 12–24 months after launch as we evolve the platform alongside their growing customer base.