An enterprise SaaS product is won on the parts users never see — tenancy, access control, performance, and an AI layer that behaves.
How it's built
An AI-native SaaS platform built for multi-tenant scale.
- ISOLATETenant & identity
Multi-tenant data model, authentication, and RBAC with audit logging.
- BUILDCore platform
API-first backend (NestJS) and Next.js 16 frontend with CI/CD.
- INFERAI layer
Governed inference services integrating AI capabilities into the product.
- OPERATEScale & observability
Load testing, performance budgets, observability, and security review.
An engineered, integrated foundation
A coherent stack chosen for multi-tenant scale and an AI layer that enhances the product rather than complicating it.
Frontend
Backend & data
Infrastructure
Payments & access
How we deliver Custom SaaS Development
Product Architecture
Multi-tenant data model design, authentication strategy, AI capability integration, API-first contract design, and scalability planning. Output: architecture specification ready for engineering start.
Core Platform Build
Backend service development (NestJS), frontend implementation (Next.js 16 App Router), database design, and CI/CD pipeline setup. Output: functional core platform with auth and tenant isolation.
AI Feature Integration
AI capability design, model integration, inference API setup, and AI feature testing. Output: AI-enhanced product with governed inference layer.
Production Launch & Scaling
Performance profiling, load testing, observability setup, security review, and production deployment. Output: production SaaS ready for enterprise customers.
The same phases, sized by duration
A proportional recap of the delivery plan above — not new information, a different view of it.
Segment width follows each phase's stated duration range.
Engineered to budgets
<200ms
API P95 latency target on enterprise-grade infrastructure
≥95
Lighthouse performance score on all public pages
SOC 2 ready
Security and audit posture designed in, not retrofitted
The right engagement profile
Founders & Product Leaders
Building an AI-native SaaS product needing enterprise-grade architecture from the start
Enterprise Innovation Teams
Creating internal AI platforms with multi-tenant isolation and governance requirements
Technology Companies
Adding AI capabilities to existing platforms with production-grade reliability requirements
Software behind this service
Where this service has the most impact
Questions buyers ask first
Do you build from scratch or on a template?
From an architecture designed for your product — multi-tenancy, auth, and the AI layer are designed for your requirements, not forced into a template.
Can you add AI to our existing platform?
Yes. We integrate a governed inference layer into existing products as well as building new ones.
Is the platform ready for enterprise security review?
SOC 2-ready controls, audit logging, and a security review are built into the lifecycle so the platform can pass enterprise procurement.
What performance can we expect?
We engineer to explicit budgets — sub-200ms API P95 and ≥95 Lighthouse on public surfaces are typical targets.
Build an AI-native SaaS that scales
Book a 40-minute discovery call to scope the architecture and the AI layer for your product. No commitment.