---
title: "SaaS & Product Engineering"
canonical_url: "https://cognilium.ai/services/saas-development-startups"
slug: "services/saas-development-startups"
section: "services"
page_type: "pillar"
date_modified: "2026-09-29"
description: "End-to-end product builds: front end, back end, AI and infrastructure by one team — including multi-tenant architecture, the hardest kind to get right."
publisher: "Cognilium AI"
author: "Mudassir Marwat"
person_same_as:
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  - "https://orcid.org/0009-0008-1927-2598"
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  - "https://www.f6s.com/member/mudassir-marwat"
  - "https://cognilium.ai/founder"
answers:
  - "Multi-tenancy proven, not promised"
  - "What we build into a product"
entities: []
related:
---

# SaaS & Product Engineering

**A full multi-tenant platform in active build** A modern React and TypeScript front end — 31 pages, 69 components, knowledge-graph visualisation, document preview, light and dark, mobile-ready — over a FastAPI backend with 13 routers, 105 endpoints and streaming responses, behind five-role access control and zero-trust tenant isolation.


## In short

**A full multi-tenant platform in active build** A modern React and TypeScript front end — 31 pages, 69 components, knowledge-graph visualisation, document preview, light and dark, mobile-ready — over a FastAPI backend with 13 routers, 105 endpoints and streaming responses, behind five-role access control and zero-trust tenant isolation.

**Architecture leadership across three platforms** For a SaaS group running auction, appraisal and dealer-website products: one unified domain model on a shared multi-tenant core, API governance, and technical direction of several developer teams.

**Product surfaces that shipped** A Word add-in lawyers work in daily plus an operations dashboard, both part of our own contract-review product.

**Product sites, end to end** Including this one and our product site — front end, content model, and the whole machine layer: the schema graph, llms.txt and raw twins.

Service · SaaS & product engineering

One team carries it end to end — infrastructure, backend, AI and interface by the same hands.

Which means nothing falls between contractors, and the person who built the API is the person who knows why the screen is slow.

endpoints behind 13 routers on the platform we are building

roles in the access model, enforced at the data layer

cross-tenant leakage, proven by a script rather than promised


## Multi-tenancy proven, not promised

A forgotten scope should return zero rows, never somebody else's data.

That is a property you can test rather than a promise you have to accept: our Quote Rabbit demo ships a script that proves row-level isolation by trying to breach it, and the same pattern goes into what we build for you. When an enterprise customer's security review asks how isolation is enforced, the answer should be a policy in the database and a test that fails loudly.


## What we build into a product

**Multi-tenant AI platform** Per-org tool registry, isolation at the data layer, credential vaulting and metered AI spend.

**AI agents** The layer that does the work inside the product, with guardrails written in code.

**Cloud and DevOps** The environments, pipelines and rollback path underneath, defined as code you keep.

What it has to do, who it has to serve, and when it has to exist. We will tell you the shortest honest path — including which parts you should not build yet.


---

Canonical HTML: https://cognilium.ai/services/saas-development-startups