TwinnedIt partnered with Neem to modernise its building management platform through AI application modernisation, transforming how users manage compliance, inspections, and digital building data.

The goal was not just to introduce AI, but to create a more scalable, intuitive platform that improves usability while maintaining continuity for existing users.

Overview​​​​:​​​​​​​​​

TwinnedIt provides a web-based platform that enables public sector organisations to manage buildings through digital twins, including 3D renderings, safety checks, inspections, and compliance workflows.

Neem was initially engaged to introduce AI capabilities. However, early discovery revealed that a full AI application modernisation approach – rebuilding the platform from the ground up – would deliver significantly greater long-term value.

This enabled seamless AI integration, improved usability, and a more scalable product architecture.

Client Snapshot​​​​​​​​​​​​​​

  • Client: TwinnedIt
  • Industry: Public Building Management
  • Type: Software Development
  • Challenge: Rebuilding the existing platform while maintaining continuity for existing users.

Services delivered​​​​​​​​​

  • Software development
  • Tech services
  • AI integration
  • UI/UX overhaul

Neem partnered with TwinnedIt to deliver AI application modernisation, combining a full platform rebuild with integrated AI capabilities.

"An absolute game changer of a quote goes here over a few lines... probably three for best"

Software engineer working with application code as part of legacy application modernisation and software development We Are Neem We Are Neem

The Challenge​​: Rebuilding with AI Application Modernisation

TwinnedIt’s existing platform was already functional and widely used, making transformation particularly complex. Introducing AI required rethinking the architecture without disrupting existing users.

1. Maintaining User Continuity: The platform needed to evolve without disrupting existing workflows or user experience.

2. Complex AI Integration: AI capabilities needed to handle dynamic queries and building-specific variations.

3. Legacy Application Constraints: The existing system was functional but not designed to support scalable AI integration.

4. Reducing Manual Effort: Administrative processes relied heavily on manual input and repetitive tasks.

The Core Challenge

Deliver AI application modernisation while maintaining continuity, improving usability, and enabling scalable AI functionality.

The Neem Approach​: Enabling AI Application Modernisation at Scale

Neem implemented a structured, collaborative approach to deliver AI application modernisation.

1. Deep Platform Analysis:

Neem conducted a detailed review of the existing application to understand its architecture, workflows, and limitations.

2. Redesign and Feature Enhancement:

New features and improvements were identified to enhance usability, performance, and scalability.

3. Full Application Rebuild:

The platform was rebuilt from the ground up, enabling seamless AI application modernisation and improved system performance.

4. Collaborative Development:

Neem worked closely with TwinnedIt’s team to ensure alignment between product vision, design, and technical execution.

Neem implemented a structured, collaborative approach to deliver AI application modernisation.

1. Deep Platform Analysis:

Neem conducted a detailed review of the existing application to understand its architecture, workflows, and limitations.

2. Redesign and Feature Enhancement:

New features and improvements were identified to enhance usability, performance, and scalability.

3. Full Application Rebuild:

The platform was rebuilt from the ground up, enabling seamless AI application modernisation and improved system performance.

4. Collaborative Development:

Neem worked closely with TwinnedIt’s team to ensure alignment between product vision, design, and technical execution.

Key Capabilities​

To deliver this AI application modernisation, Neem provided:

New Application Architecture: A fully rebuilt platform retaining all existing functionality while enabling future scalability.

AI Integration and Features: Automated search, reporting, and intelligent data processing capabilities.

Improved User Interface: A more intuitive and user-friendly experience designed to increase adoption.

Impact & Outcomes: Improved User Experience with AI Application Modernisation

The AI application modernisation transformed the platform into a more scalable and user-centric solution.

Improved User Experience: A more intuitive interface enabled faster onboarding and easier navigation.

Integrated AI Capabilities: AI features enhanced automation and reduced manual effort across workflows.

Seamless Transition for Users: Existing users were able to transition with minimal disruption.

On-time, On-budget Delivery: The project was successfully delivered within planned timelines and cost.

Ongoing Partnership: Neem continues to support TwinnedIt with platform enhancements and improvements.

Looking to modernise your existing platform with AI?

Neem helps organisations deliver AI application modernisation, combining platform rebuilds with scalable AI integration.

Speak to our development team today.

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Here's some FAQ's that might help!

We are technology-agnostic. Our teams work across modern stacks including cloud platforms, web and mobile technologies, and enterprise systems—selecting the right tools based on your needs, not preference.

Yes. We support greenfield product development as well as optimisation, scaling, and rescue of existing platforms, ensuring stability while unlocking future growth.

We combine experienced engineering talent with structured delivery frameworks, clear governance, and continuous feedback to ensure high-quality, reliable, and scalable solutions.

We do both. From individual specialists to fully managed, multi-disciplinary delivery teams, we scale capability based on your requirements and stage of growth.

We integrate seamlessly into your organisation, working as an extension of your team. Our focus is collaboration, transparency, and shared ownership of delivery outcomes.