AI SaaS Product Engineering.
From zero to production: full-stack, AI-native software-as-a-service platforms engineered for rapid scale.
Architectural Overview
Building a software product today requires more than just a CRUD database and simple forms. Digitat engineers AI-native SaaS platforms equipped with vector retrieval, real-time telemetry, multi-tenant database partitioning, automated subscription billing, and resilient background job processing.
Core Capabilities & Architecture
Multi-Tenant Cloud Architecture
Row-level security, isolated schema partitioning, and granular role-based access control (RBAC) designed to protect customer data and pass enterprise vendor security reviews.
Real-Time Collaborative Interfaces
Frictionless collaborative experiences built on WebSockets, CRDTs, and optimistic UI updates for real-time team synchronization.
Metering & Stripe Billing Systems
Turnkey monetisation architectures supporting usage-based billing, seat-based subscriptions, automated invoice generation, and tier upgrade flows.
RAG & Vector Semantic Search
Low-latency vector similarity engines using pgvector and Pinecone to provide instant semantic search across millions of customer records.
What We Deliver To Your Production Environment
Frequently Asked Questions
Do you build MVPs or full enterprise platforms?
Both. We frequently build rapid 4-week MVPs for early-stage founders to validate market demand, as well as comprehensive multi-tenant SaaS platforms for scaling companies.
Who owns the intellectual property and code?
You own 100% of the intellectual property, repositories, and assets upon milestone completion. We provide clean, fully documented Git repositories.
Launch Your Next SaaS Platform
Let's review your product specifications and build an engineering roadmap that scales.