The public homepage opens with the core Monar promise: turn painful operations into secure, custom AI SaaS products.
Monar explains the concrete starting points: sensitive intake, live operations visibility, and repeatable partner SaaS layers.
The process section shows how a messy workflow is mapped, narrowed into a first product, connected, launched, and improved.
The platform section makes the infrastructure clear: integrations, secure data, roles, orchestration, AI, dashboards, and analytics.
The landing page closes by separating the paths: build with Monar, build on Monar, or partner with Monar.
The Business page positions Monar for teams that need custom AI software around real operational work.
The Enterprise page focuses on internal teams that know what needs to change and need secure infrastructure to move faster.
The Partners page shows the reusable client-network SaaS angle for repeatable client work and multi-tenant products.
01 Overview
Monar · 2024-Present
Project thesis
At Monar, I lead hands-on architecture and implementation for a multi-tenant AI SaaS platform. My work spans Next.js, React, TypeScript, Convex, WorkOS, product dashboards, tenant and authentication boundaries, operational tooling, and internal product infrastructure across aOS, Sufi, Mimix, and workflow concepts.
03 Core Features
Three systems that keep AI workflows isolated, operable, and ready to grow.