Customers now expect SaaS products to do more than store data — they expect them to recommend, predict, summarize, and automate. Plavno is a SaaS development partner for startups building their first product and for established software companies that need to modernize a platform or add AI capabilities without rebuilding everything from scratch.
We combine custom software development, cloud software development, and product design in one team, so architecture, UX, and business model decisions are made together rather than in silos.
From SaaS MVP to Enterprise Scale
A successful SaaS product usually starts small. Our MVP development process focuses on the core value proposition, a clean domain model, and an architecture that will not need to be thrown away once the product finds traction. Choosing the right foundation early matters — our guide to the best tech stack for startups explains the trade-offs, and Custom AI Software: From MVP to Enterprise Platform shows how AI products scale beyond the prototype.
Multi-Tenant SaaS Architecture Done Right
Tenant isolation is one of the most important decisions in SaaS engineering. Depending on security, compliance, and cost requirements, we implement shared-schema, schema-per-tenant, or database-per-tenant models, together with role-based access control, SSO, tenant-level configuration, and per-tenant monitoring. Our multi-tenant government SaaS platform is a good example of fast tenant onboarding with strict data isolation.
SaaS Modernization and Cloud Migration
For mature products, we audit the existing codebase and infrastructure, then modernize incrementally: breaking up monoliths into modular services, introducing CI/CD and observability, optimizing cloud costs, and migrating tenants without downtime. Digital transformation consulting helps define the roadmap and priorities.
Security and Compliance for SaaS Platforms
Enterprise buyers ask about SOC 2, GDPR, SSO, and audit logs early in the sales cycle. We design these requirements into the architecture — encryption, least-privilege access, tenant-aware logging, and secure AI agent permissions — and validate them with cybersecurity and penetration testing.
