Commercial AI software engineered from first principles for multi-tenancy and scale.

Launching an AI SaaS requires far more than wrapping a foundation model. We build entire commercial products from scratch—architecting isolated tenant storage, real-time token streaming, metered Stripe billing, organization management, and intuitive authoring experiences.

Our Approach

Architecting for unit economics and genuine workflow value

Sustainable SaaS companies succeed through high retention and defensible margins. We optimize token budgets through prompt caching, semantic embedding caches, and efficient streaming pipelines, ensuring your cost per user stays disciplined while the user experience feels instantaneous.

Multi-Tenant Isolation & Sustainable Token Economics

AI SaaS interface layout and streaming editor
AI SaaS interface layout and streaming editor

Commercial AI applications face unique architectural challenges: preventing cross-tenant data leakage while maintaining high-speed token streaming and disciplined inference unit economics.

We implement PostgreSQL Row-Level Security (RLS) to enforce hard tenant barriers at the database layer. In parallel, our streaming pipelines utilize prompt caching and semantic response deduplication to slash LLM API costs by up to 60%, protecting your gross margins as your customer base expands.

Deliverables

  • Complete multi-tenant SaaS application codebase
  • Stripe integration for seat-based and metered usage billing
  • Strict row-level security policies guaranteeing tenant isolation
  • Administrative dashboard for customer support and usage metrics

Engagement Process

  1. // 01

    Product Architecture & Tenancy Scoping

    We define your tenant boundaries, workspace hierarchies, licensing models, and initial core workflow requirements.

  2. // 02

    Core AI Pipeline & Token Streaming

    We build edge-to-client streaming, markdown parsing, versioned document history, and semantic caching layers.

  3. // 03

    Billing & Organization Operations

    We integrate Stripe Customer Portal, webhook synchronization, team invitation flows, and real-time usage meters.

  4. // 04

    Production Launch & Hardening

    We execute end-to-end user testing, load simulation, and edge caching configuration ahead of public launch.

Technologies & Infrastructure

  • Next.js
  • TypeScript
  • Claude API
  • Stripe
  • Postgres (RLS)
  • pgvector
  • Tailwind CSS

Selected Work

Turn your AI concept into a durable SaaS business.

Partner with engineers who have built and launched multi-tenant AI systems. We'll turn your vision into a production-ready product.

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