SaaS Systems Engineering Studio

Software Engineering for SaaS Platforms

Scale your B2B or B2C SaaS product with confidence. CookMyTech engineers multi-tenant cloud backends, resilient Stripe billing architectures, enterprise SAML SSO, high-throughput analytics, and embedded AI capabilities tailored for modern recurring-revenue businesses.

Core Engineering

Production SaaS Engineering Modules

Multi-Tenant Cloud Backends

Robust tenant isolation schemas with Row-Level Security (RLS), custom subdomain routing, and automated tenant provisioning microservices.

Stripe Billing & Subscription Engines

End-to-end billing lifecycles, automated proration, self-serve billing portals, multi-currency support, and dunning management.

Enterprise SSO & Security Compliance

SAML 2.0, SCIM directory synchronization, enterprise audit logs, and SOC 2 / GDPR-ready data architecture.

High-Volume Usage Metering

Asynchronous telemetry aggregation pipelines that meter API requests, token spend, and seat allocation without impacting core application throughput.

Embedded AI & LLM Workflows

Custom AI copilot features, Retrieval-Augmented Generation grounded in tenant data, and automated workflow triggers.

Real-Time Collaborative Dashboards

WebSocket-driven interactive interfaces, live presence, activity streams, and instantaneous multi-user updates.

SaaS Architecture FAQ

Frequently Asked Questions on SaaS Engineering

Which multi-tenant database isolation model do you recommend for SaaS applications?

The optimal model depends on compliance, cost, and tenancy volume. We frequently architect a hybrid pooled model with Row-Level Security (RLS) in PostgreSQL for cost efficiency and fast onboarding, transitioning high-value enterprise tiers to isolated schemas or dedicated databases when HIPAA, SOC 2, or custom data residency mandates require strict physical isolation.

How do you manage Stripe billing complexity, tiered subscriptions, and usage-based metering?

We implement robust subscription lifecycle engines utilizing Stripe Billing and webhooks verified with cryptographic signatures. For usage-based metering (e.g. AI token usage, API calls, storage), we capture high-frequency telemetry via Redis counters or ClickHouse and flush aggregated usage records asynchronously, avoiding database lock contention.

How do you engineer Role-Based Access Control (RBAC) and team management in B2B SaaS?

We design granular permission systems featuring hierarchical organizations, multi-seat workspaces, and role-based permissions (Owner, Admin, Member, Read-Only). We support SAML 2.0 / SSO integrations (Okta, Azure AD, Google Workspace) via Auth.js or WorkOS to satisfy enterprise procurement requirements.

Can you help retrofit AI agent workflows and LLM intelligence into an existing SaaS platform?

Yes. We specialize in embedding contextual AI features—such as automated document summarization, natural language reporting, and autonomous copilots—into established SaaS codebases with strict tenant-level vector isolation so tenant data is never exposed to other accounts.

How do you ensure high availability and sub-100ms API latency as SaaS user counts scale?

We implement multi-region edge caching with Redis, connection pooling via PgBouncer, asynchronous background workers (BullMQ / Celery), and containerized microservices orchestrated on AWS ECS or Google Cloud Run with automated horizontal autoscaling.

Ready to Build or Scale Your SaaS Platform?

Partner with senior engineers who understand SaaS economics, tenancy models, and high-concurrency systems design.

Start SaaS Consultation →