Connecraft is a specialized SaaS solution that allows painting and decorating companies to generate professional, preliminary quotes for standard interior renovations and facade work. It replaces a legacy system of 60+ static PDF templates with a dynamic, multi-tenant platform.

Craft businesses were struggling with manual quote creation using dozens of static PDF templates. The process was slow, error-prone, and lacked a centralized management system.
Replaced 60+ static PDF templates with 1 dynamic engine.
Reduced quote generation time by ~50%.
Successfully onboarded initial pilot craft businesses.
This project demonstrates Inventiple's ability to take a complex business challenge and deliver a production-ready solution within a compressed timeline. From initial discovery through deployment, our team applied proven engineering practices including agile sprints, continuous integration, automated testing, and infrastructure-as-code to ensure the final product met the highest standards of quality, security, and performance.
Every technology choice was made based on the specific requirements of the project — not because we favor a particular stack. We evaluated trade-offs between development speed, long-term maintainability, scalability ceiling, and operational cost to arrive at an architecture that serves the client's business today while being ready for tomorrow's growth. This pragmatic, outcomes-focused approach is what sets Inventiple apart from agencies that default to cookie-cutter solutions.
No junior handoffs or bait-and-switch. Every engineer on this project had 5+ years of production experience in the relevant technology stack and domain.
We used agentic AI tooling to accelerate code generation, automate test writing, and perform code reviews — delivering 2-3x faster without sacrificing quality.
Weekly demos, daily standups, and real-time Slack access ensured the client was never in the dark about progress, blockers, or architectural decisions.
Our engagement did not end at deployment. We provided production monitoring, performance optimization, and knowledge transfer to the client's internal team.