AI Chatbots in Apps
Conversational assistants inside your app that answer questions, guide users through tasks and hand off to a human when needed, so support stays available around the clock.

AI mobile app development for iOS and Android: chatbots, voice, image recognition and personalized features, built in Flutter or React Native.

Trusted by startups and SMEs worldwide
AI mobile app development means building iOS and Android apps with features like chatbots, voice input, image recognition and personalized content built in from the start. Metaviz AI designs and builds these apps in Flutter and React Native, connects them to the right AI models and backend, and supports them after launch.
We start with the job the AI has to do, not the model. Some features run best on the device for speed, privacy and offline use. Others need a cloud model for heavier reasoning. We pick per feature and explain the trade-off. Our mobile work includes a Flutter fleet management app with real-time telemetry and alerts, a React Native AI toolbox app connected to Go HighLevel, and the Miploy work marketplace with AI-assisted job matching.
Driver records were kept apart from the vehicles they drove, so establishing who was behind a given vehicle meant cross-checking separate systems.
Driver Information Module - Displays comprehensive driver profiles with phone numbers, assigned vehicles, and logged report times.
Manual processes causing missed opportunities.
Shop Module - For content branding, subscriptions, and consultancy.
Delayed connections between workers and contractors.
AI Chatbot for Customer Support - We built an intelligent chatbot to automate job matching and provide real-time assistance.
Telemetry arrived from several sources without real-time synchronisation, leaving managers to judge a vehicle from figures already out of date.
Vehicle Data Dashboard - Real-time telemetry data covering speed, fuel level, voltage, and license plate details.
We add AI features that solve a clear user problem, from conversational support to recognition and recommendations, inside cross-platform apps for iOS and Android.
Conversational assistants inside your app that answer questions, guide users through tasks and hand off to a human when needed, so support stays available around the clock.

Speech input and voice commands for hands-free search, navigation and form filling, useful for users on the move, in the field or with accessibility needs.
Machine learning that suggests the next action, flags unusual activity or sends smart alerts, based on how people and connected systems actually use your app.
Camera features that scan documents, read text, detect objects or recognize faces, running on the device where possible for faster results and better privacy.
Screens, content and notifications that adapt to each user's habits and preferences, so people see what matters to them first instead of scrolling through everything.
Retrieval-augmented generation chatbots that answer from your own documents, products or policies, giving users grounded replies instead of generic answers from a general model.
Higher conversions with enhanced lead scoring and automated follow-ups. (AI-Driven Toolbox App)
Average job vacancy time reduced by 35%, enabling quicker connections between contractors and workers. (Miploy AI Work Marketplace App)
Reporting time reduced - speeding up decision-making across teams. (AI-Driven Toolbox App)
Over 10,000 job matches completed within six months through AI-driven real-time matching. (Miploy AI Work Marketplace App)
Open any of them for the full case study.
An operations dashboard that tracks vehicle health, driver performance, and routes - with AI-driven alerts.
We learn your goals, target users and the problem the app must solve. Together we decide where AI adds real value and where a simple feature is enough.
We map features, user flows, data sources and AI models. You get a clear plan covering the framework, on-device versus cloud AI and the backend.
We design clean screens and build the app and backend in short cycles, sharing working builds so you can test features on real devices as they land.
We test performance, accuracy of AI features, battery use and edge cases on iOS and Android devices, then fix and polish everything before release.
We prepare App Store and Google Play releases, monitor the live app and keep improving it with updates, new features and AI tuning based on feedback.
Built with the stack behind this work
We build cross-platform mobile apps with AI that does a specific job, backed by a solid backend and clean interfaces designed for your users.
Our case studies include a Flutter fleet app, a React Native AI toolbox and the Miploy marketplace, each pairing mobile apps with AI features and real backends.
Every app is scoped to your business goals and users. We recommend Flutter or React Native, on-device or cloud AI, based on what your product needs.
We stay on after release to fix issues, ship updates, tune AI features based on real usage and keep the app current with new iOS and Android versions.
The cost depends on your scope, not a fixed price list. The main drivers are the number of features, which AI models you use, whether you need iOS and Android, backend complexity and integrations. A free 30-minute consultation with Metaviz AI gives you a scoped estimate for your app.
Timelines depend on the features and integrations you need. A focused first version with one or two AI features moves faster than a full platform with payments, dashboards and custom models. After a free 30-minute consultation, we share a scoped plan with clear milestones for your app.
Both build iOS and Android apps from one codebase, so the right choice depends on your team and product. Flutter suits apps with rich custom interfaces, while React Native fits teams already working in JavaScript. Metaviz AI has shipped apps in both and will recommend one for your case.
On-device AI runs the model on the phone, while cloud AI sends data to a server for processing. On-device models respond faster, work offline and keep data private. Cloud models handle heavier tasks like large language models. Many apps combine both, choosing per feature.
Yes, AI features can usually be added to an existing app without a full rebuild. We review your current code, backend and data, then add features such as a chatbot, recognition or smart alerts through new modules and APIs, keeping the parts of your app that already work.
Yes, AI can match users based on skills, history and fit. In the Miploy AI Work Marketplace App, we built a Flutter app with an AI chatbot that automates job matching, plus Stripe payments and smart notifications. The case study reports 35% faster hiring and 15h time saved.
Are you ready to take your business to the next level with the power of AI, automation, and custom software development? We're here to help you innovate and make a real difference.
Let's discuss and explore how Metaviz can partner with you to bring your ideas to life, solve challenges, and explore the power of AI. We're excited to be part of your journey and can't wait to see what we can achieve together. Get in touch today, and let's make it happen!

AI integration and AI-powered development services that add chat assistants, content generation and smart features to the software you already run.

Metaviz AI builds custom AI video surveillance systems that detect threats, track activity and send real-time alerts from your cameras.

Custom SaaS development from Metaviz AI: multi-tenant platforms with billing, user roles and AI features, built to grow with your customers.