25 Madison case study
How ClickIT Scale a Production-Ready AI app for 25 Madison
The Client Project
25 Madison is a venture studio that co-founds and scales AI-native companies across multiple industries.
By embedding senior AI engineers into their team, ClickIT helped accelerate development cycles, reduce time-to-market, and establish a scalable foundation for launching AI-powered products.
Requirements
25 Madison required a trusted technology partner to enable rapid development and reduce time-to-market for new AI-powered ventures.
Augment their internal team with senior full-stack developers.
Establish a scalable, modern architecture for new applications.
Accelerate product delivery without compromising quality.
Introduce backend frameworks and testing standards to strengthen their core boilerplate for future startups.
Our Implemented Service
ClickIT’s nearshore engineers support 25 Madison’s end-to-end development
The goal was clear: Build faster, cleaner, and more scalable startup apps from the same foundation.
- Enhance their Next.js boilerplate by integrating Nest.js for a more robust backend foundation.
- Introduce automated testing frameworks to ensure consistency across all new projects.
- Develop and deploy new AI-native applications, specifically Offload, a platform for managing overweight and oversized loads.
- Integrated Python and LLMs to enable AI-driven tools and intelligent features inside the platform.
- Implement automation and infrastructure as code using Terraform, GitHub Actions, and ECS architecture for streamlined DevOps operations.
Our Tech Stack

OpenAI

Python

Next JS

Nest JS

PostgreSQL

AWS ECS

AWS S3

Terraform

GitHub Actions

Docker

Doctr OCR

Portkey
Partner with ClickIT to modernize your AI-native product development with scalability.
AI-ready infrastructure. »
The Results
The impact was immediate across both startups:
- Faster go-to-market for Offload and Ranger, enabling quicker product validation
- Stronger architectural foundation, improving scalability for future ventures
- Consistent development standards across projects through shared backend and testing frameworks
- AI-driven features that improved automation and operational efficiency within Offload
By scaling their engineering capacity, 25 Madison accelerated their startup incubation process, building production-ready applications faster and with greater consistency.