AI & Machine Learning App Development

Build intelligent, predictive apps that automate processes, personalise user experiences, and deliver measurable ROI — powered by AI and machine learning.

We develop scalable, secure, and adaptive AI-driven applications tailored to solve complex business challenges across industries.

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Key Differentiators and Benefits

Custom AI & ML apps that detect, classify, and predict with real-time data insights

End-to-end services: from model training and deployment to system integration

Trusted by UK businesses for cost-saving innovation and digital transformation

Midlands-based, nationwide service with proven delivery across sectors

Fitness Apps Built to Help Users Move, Measure, and Improve

Designed Around Your Fitness Philosophy

We don’t believe in one-size-fits-all. Our apps are built around your approach to fitness, whether you’re running a gym, personal training service, wellness programme or a global fitness brand. The platform can include on-demand workouts, goal tracking, nutrition logs, appointment booking, and habit-forming challenges. Designed to support users from all backgrounds and ability levels, every app is mapped to your philosophy and your community’s needs.

Real-Time Feedback and Progress Tracking

Our fitness apps empower users with live metrics on steps, heart rate, calories, reps, or sleep patterns — whatever data keeps them moving. We connect directly with wearables, including Apple Health, Google Fit, and Garmin, to ensure the app reflects every movement. Progress dashboards help users visualise how far they’ve come and what’s next, creating motivation through data, not guesswork.

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AI Apps That Fit Your Business Needs

Tailored for Your Sector

Whether you’re in finance, logistics, manufacturing, or healthcare, our AI app solutions are built to meet your industry’s specific challenges. In logistics, that might mean predictive scheduling to reduce delays; in healthcare, using machine learning to support faster diagnostics. These are not abstract ideas. They are working systems delivering measurable gains in efficiency, personalisation, and cost reduction.

We don’t repurpose generic platforms. Every application is purpose built, ensuring it addresses your operational goals and delivers a clear advantage. Our team maps AI capabilities to real outcomes: lower lead times, fewer manual errors, and smarter decision making.

Built Around Your Data

Your data is a unique asset. We build around it, integrating seamlessly with your current systems and ensuring your proprietary datasets are leveraged securely and effectively. Our developers work with your data infrastructure, enabling you to maintain control while extracting meaningful value through custom model training.

The result? Business specific results that are more accurate, more relevant, and more reliable. Our AI applications adapt to your data rather than forcing your data into a one size fits all model.

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Business Benefits of AI & ML Apps

Real-Time Results, Real Business Impact

AI applications from Apps Plus are engineered to generate results from day one. Predictive algorithms automate workflows, flag issues before they arise, and provide decision makers with real time insights. From customer satisfaction metrics to operational efficiencies, our apps help you quantify value.

This is about more than technology. It’s about proving ROI. We build systems that support your KPIs, so you can monitor performance, reduce cost, and improve outcomes without guesswork.

Built for Scalability and Speed

Speed and scalability aren’t afterthoughts. Our AI apps are deployed using cloud native architecture, meaning they scale with demand and deliver reliably across devices. Whether it’s a mobile app for frontline teams or a back office system accessed on desktop, performance remains consistent.

We support cross platform delivery and future enhancements. As your data grows and your goals evolve, our systems remain agile. No technical bloat. No bottlenecks.

Request a Demo of Our Latest Projects
Tablet really awesome coffee and PHS ipad sales app

How AI & ML App Development Works with Us

We begin by understanding your business goals and identifying where AI can unlock value. In discovery sessions, we scope the project, audit your available data, and agree on tech stack and architecture. Wireframes and initial concepts are developed early, so you know exactly what to expect.

This isn’t just consultancy. It’s collaborative planning. Aligning AI logic with real world workflows from day one.

Our machine learning specialists select and train the right models for your use case: supervised learning for classification, unsupervised for pattern detection, or reinforcement for optimisation. Once trained, we test extensively for performance, stability, and real world responsiveness.

Model validation, simulation, and fine tuning are all handled in house, ensuring the final application performs reliably under varied conditions.

Launch isn’t the end. We handle integration with CRMs, ERPs, and other platforms to ensure seamless operation. Post deployment, we monitor app performance, detect errors early, and provide ongoing tuning.

As your data evolves, so does your app. We provide model retraining, feature updates, and long term technical support to keep your AI systems sharp.

Why Choose Apps Plus

Focused on Solving Real Business Problems

Every AI app we build is designed to support a business goal: streamlining a process, reducing admin, or improving service quality. We don’t push features for their own sake. Our consultative process ensures we design apps that solve the right problems, not just interesting ones.

This user first approach means you’re never dealing with vanity features or unnecessary complexity. It’s business led software, always.

Proven Track Record with UK Businesses

We’ve built AI and machine learning systems for some of the UK’s most trusted names: Jaguar Land Rover, Hammonds Furniture, and Really Awesome Coffee, to name a few. These partnerships are built on trust, performance, and a shared focus on value.

Whether it’s a machine vision system to speed up inspections or predictive tools to cut costs, our work helps clients save time, reduce risk, and scale efficiently.

Our USPs:

  • UK-based team
  • Over 12 years of experience
  • Bespoke app development, scalable to any business

Driving Value Through Intelligent Applications

For Startups, SMEs & Enterprises

Startups benefit from rapid MVP builds that can secure investment and validate ideas fast. SMEs use our tools to reduce overheads and sharpen customer service. Enterprises gain enterprise grade scalability, with solutions that integrate across departments and adapt to complex business rules.

Whatever your size, we align our technology with your ambition.

Long-Term Support and Innovation

AI doesn’t stop after deployment. We provide continuous monitoring, refinement of ML models, and user focused updates to keep systems efficient and useful. With every iteration, your app becomes smarter, faster, and more effective.

We also keep security, compliance, and usability top of mind. From GDPR to device compatibility, we reduce friction while increasing value.

Frequently Asked Questions

How much does it cost to develop an AI or ML app?

Costs vary based on complexity, data readiness, and feature requirements. A simple MVP might start from £25,000, while fully featured apps may range between £50,000 and £200,000+.

What are the most common use cases for AI apps?

Process automation, customer analytics, fraud detection, predictive maintenance, and workflow optimisation are among the most requested features.

Which platforms and frameworks do you support?

We build using TensorFlow, PyTorch, AWS SageMaker, and deploy across Android, iOS, web and hybrid platforms like React Native.

How secure are AI integrations?

We follow best practices for encryption, GDPR compliance, data storage, and access control. Your data remains protected and legally compliant.

How scalable are your solutions?

Our apps use cloud native architectures, microservices, and API first design, making them easy to scale as usage grows.

What’s involved in training machine learning models?

Data collection, pre processing, model selection, training cycles, testing, and refinement. Each stage is customised to your business case.

Can AI features be integrated into my existing app or system?

Yes. We work with CRMs, ERPs, APIs and legacy systems to embed AI into your existing infrastructure without disruption.

How long does development take?

An MVP can typically be delivered in 8 to 12 weeks. Full feature builds may take 3 to 6 months, depending on complexity.

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