iMaintain: Building the Future of Intelligent Maintenance

iMaintain came to us with a bold idea: to reinvent maintenance management with a touch of intelligence. Together, we designed and built a platform that helps engineers and manufacturers move beyond spreadsheets and dusty manuals.

The Client

iMaintain is a UK-based innovator team, transforming maintenance management through AI and intelligent automation. Aiming to be the top-of-mind AI-powered Computerised Maintenance Management System (CMMS) solution in revolutionising various industries, including engineering and manufacturing.

The company kicked off in early 2025 with a concept to put the power of “1,000 Engineers in Your Pocket”.

Sector: Engineering, Manufacturing, Maintenance Technology (CMMS / AI)

The Challenge

Like many startups, iMaintain had a crystal-clear understanding of the problem but needed support translating that into technology that worked.

With their experience working closely with operators, technicians, and engineers, they knew what engineers struggled with, where time was lost, and how knowledge often lived in people’s heads instead of systems. They were experts in maintenance, not in code.

Our role was to bridge that gap. To bring structure, technical clarity, and momentum without losing the spark that made their idea special.

Our Approach

Rather than rushing to build, we started by listening. Over workshops and whiteboards, we unpacked what “intelligent maintenance” really meant for the people who’d use it. We explored the frustrations of engineers, the pain points of operations teams, and the potential of AI to lighten the load.

That shared understanding shaped everything that followed.

Phase 1: Discovery & AI Planning (March 2025)

Our first few days were all about focus, a discovery sprint to define what iMaintain’s AI should actually do.

We mapped the conversations engineers might have with an AI assistant, identified what data it would need to draw from, and began outlining how those insights could make a difference day-to-day.

By the end, we’d produced:

  • A clear AI use case document detailing exactly how intelligence would fit into maintenance workflows.
  • A data blueprint linking CMMS data to real-world context.
  • A technical architecture plan for the AI model and APIs.

That foundation made sure every decision afterwards was grounded in reality, not just ambition.

Phase 2: Proof of Concept (April 2025)

Over two intense weeks, we built the first working version of the iMaintain Brain. A simple AI prototype that could answer structured maintenance questions and simulate real CMMS-backed responses.

It wasn’t fancy, but it was powerful. It gave the iMaintain team something they could touch, test, and believe in.

Together, we tested it, broke it, refined it, and shaped it into something smarter. By the end, the vision wasn’t just on paper; it was working in the browser.

Phase 3: MVP Development (May – August 2025)

The proof of concept sparked real momentum, and by May, we were fully into build mode, shaping the first proper version of iMaintain.
Each sprint built on the last, gradually transforming a simple prototype into a powerful, production-ready product. We put a lot of care into the technical backbone: how data flowed between assets, users, and tasks, and how every interaction felt effortless.

From intelligent work order management to the integration of the iMaintain Brain, every part of the build was driven by collaboration and continuous feedback.

Throughout, we worked very closely with iMaintain’s founders, sharing ideas, testing features, and adapting quickly as the product evolved. It never felt like two separate teams; it felt like one team, building something that mattered, together.

Screengrab from iMaintain's Explainer Video

The Highlight Feature: The iMaintain Brain

The standout feature of the platform is the iMaintain Brain, a conversational AI assistant that helps engineers troubleshoot issues, locate manuals, and access historical maintenance data instantly.

It’s not just a chatbot; it’s a digital teammate. Built and trained, the Brain learns from every interaction, continuously improving its accuracy and understanding.

For engineers, it means getting answers instantly. No more waiting around for someone to be free, or digging through endless folders hoping the right document turns up.

For organisations, it means the wealth of knowledge of senior staff isn’t locked in someone’s head anymore. It can be captured, shared, and scaled across the whole team.

Perhaps, the biggest impact has been cultural.

Teams that once relied on word-of-mouth expertise now have a single, smart system guiding them, giving time back and letting them move forward with confidence.

Collaboration and Partnership

Every phase of the project was rooted in collaboration. From the first discovery workshop to the final sprint retrospective, our teams worked shoulder to shoulder, exchanging ideas, iterating fast, and celebrating each milestone as a team.

That partnership-first approach meant iMaintain’s priorities always led the way, while our technical expertise turned those priorities into tangible progress.

The iMaintain vision continues to expand, and we’re proud to see it going from strength to strength.

From the earliest sketch to a fully working product, Fluff Software helped bring iMaintain’s vision into life.

And in the process, we built more than a platform. We built a partnership shaped by curiosity, trust, and shared ambition. Resulting in something simple but powerful: a tool that helps real people do better work, powered by intelligence, design, and collaboration.

“Fluff have been brilliant to work with, a proper partnership rather than just a dev team. They’ve taken the time to understand what we’re building, challenged ideas in the right way, and delivered solid, scalable code. Communication’s been spot on and they genuinely care about the product. Would definitely recommend them.” - Adam Stockwell | Co-Founder & CEO, iMaintain

Before working with Fluff, our biggest challenge was understanding the tech side of things... we needed a partner who could turn our vision into a real product. Fluff did exactly that and more.

Hannah Savagar
COO & Co-Founder

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