Health and Fitness
AI-Powered Fitness App
An AI-powered personal fitness app with custom workouts, meal plans and progress tracking, so users stay motivated and can see their results.
AI Features for Android and iOS Apps
Dartitude is a Flutter AI app development company with teams in India, the US and Australia. Our AI integration services add features your users will use, such as chat assistants, smart search, text and image recognition and generative UI, to new or existing Android and iOS apps. One team picks the model, builds the feature in Flutter and keeps it running after launch.
Tell Us About Your Project●
011 Week Risk-Free Trial02Cloud and On-Device AI in Flutter03Dedicated Flutter Developers for Your Project
Trusted by the 50+ clients
What We Build
We build AI features as part of a real Flutter app, not as a demo, and integrate AI into apps you already have. Pick one feature to start, or plan a full AI product with us.
01/ 07
AI Chat Assistants
In-app assistants that answer questions, guide users and keep context across a conversation, built on the Flutter AI Toolkit chat widgets with streaming replies, voice input and attachments. See how to build AI agents with the Flutter AI Toolkit .
02/ 07
Gemini and LLM Integration
We connect your app to Gemini models through Firebase AI Logic, so no model API key ships inside the app. When you need another provider, we route calls through your own backend.
03/ 07
Smart Search and Recommendations
Search that understands what users mean, and suggestions based on what they do in the app, such as workouts, trips or content.
04/ 07
On-Device Vision and Language
Text recognition, barcode scanning, face detection, translation and smart reply with Google ML Kit, which runs on the phone and works offline. Custom models run with LiteRT, the runtime built on TensorFlow Lite.
05/ 07
AI Agents and Tool Calling
Assistants that do more than talk: they call your app's functions, such as booking, searching or filling a form, with a confirmation step before any action that matters.
06/ 07
Generative UI With the GenUI SDK
Screens composed at runtime from your own widget catalog, so an answer can be a card, a form or a carousel instead of a paragraph. The SDK is in alpha, so we start with a pilot behind a feature flag. Read our Flutter AI roadmap .
07/ 07
Add AI to an Existing Flutter App
Already have an app? We add one AI feature to the screens you have, without a rewrite. If the code needs work first, we start with a Flutter app audit.
Engagement Models
Both models start with the same free call, where we check whether AI is the right tool for your problem.
01/ 02
Fixed Price AI Feature
Best when you know the feature you want, such as a support assistant or a document scanner. We agree on scope, model, timeline and price up front and deliver against milestones.
02/ 02
Dedicated Flutter Team
Best for an AI product that keeps changing. Flutter developers work only on your app, full time or part time, and report to you like your own team. See how to hire Flutter developers .
What Moves the Price
An AI feature adds two kinds of cost: the build, priced in your written estimate, and model usage, which the AI provider bills as your users make requests. See where your app lands with our Flutter AI app development cost calculator.
Cloud or On-Device
Cloud models bill per use; on-device models have no per-request fee but need more testing on real devices.
Model Usage at Scale
Usage grows with your users, so we set per-user limits and track spend from day one.
Data and Context
Answers grounded in your own content need that content cleaned, structured and kept up to date.
Safety and Review
Guardrails, fallbacks and approval steps take build and test time, and they are not optional.
Platforms
Android and iOS come together in Flutter; some on-device AI options exist on one platform only.
Team Model
Fixed price suits one clear feature; a dedicated team suits an AI product that keeps changing.
Cost Calculator
Pick your AI features, where the model runs and what the rest of the app needs. The range covers the Flutter app from our published tiers; AI build work and model usage are priced separately in your written estimate.
What are you building?
Pick the one closest to your project.
Pick an answer to continue.
How We Work
Six steps, from the first question to a feature you can measure. You see a working build at the end of each sprint.
01
Step 1
Use-Case Workshop
What problem the feature solves, who uses it and what a good answer looks like.
02
Step 2
Model and Architecture Choice
Cloud, on-device or both; which provider; and what data the model may see.
03
Step 3
Prototype the AI Flow
A clickable build with real model calls, tested with your team before the full build.
04
Step 4
Build With Guardrails
Flutter UI, backend, usage limits, fallbacks and approval steps built in from the start.
05
Step 5
Test With Real Prompts and Devices
A fixed set of test questions plus real Android and iOS devices before every release.
Let’s Build the Future Together
On a free call we look at the feature with you, suggest cloud or on-device, and explain what it would take to ship it.
Choosing Where AI Runs
Most AI features run on a cloud model; some work better on the phone, and many apps use both. For the wider picture, read our Flutter AI integration guide.
| Criteria | Cloud models (Gemini via Firebase AI Logic) | On-device ML (ML Kit, LiteRT) | On-device generative AI (Gemini Nano) |
|---|---|---|---|
| Where it runs | Google's servers | On the phone | On the phone, through Android's AICore service |
| Works offline | No | Yes | Yes |
| User data leaves the device | Yes, it is sent to the model provider | No | No |
| What it does well | Chat, summaries, reasoning over long input, images and text together | Text recognition, barcodes, faces, labels, translation, custom models | Summaries, rewriting, proofreading, image description, short prompts |
| Platforms | Android, iOS, web and desktop from Flutter | Android and iOS with ML Kit; LiteRT also runs on web and desktop | Android only, on supported recent devices |
| Cost model | Billed per use by the provider; the Gemini Developer API has a no-cost tier | No per-request fee | No per-request fee |
| Best fit | Assistants and features that need the strongest models | Camera and text features that must be instant or work offline | Private text tasks on newer Android phones, with a cloud fallback |
Safe by Design
An AI feature that leaks a key, runs up a bill or invents an answer hurts more than it helps. These are the rules we build to.
No Keys in the App
Model calls go through Firebase AI Logic or your backend, so no model API key ships in the app, and Firebase App Check helps block abuse.
Limits and Spend Alerts
Per-user rate limits and usage tracking keep one user, or one bug, from running up the bill.
A Fallback for Every Failure
When the model is slow, offline or wrong, the app shows a clear fallback instead of a broken screen.
Approval Before Actions
Any step that books, pays or changes data asks the user to confirm first.
What AI Should Not Touch
Checkout, legal wording and core navigation stay hand-written Flutter. AI fills the parts where a flexible answer helps.
Sensitive Data Stays Close
For health or payment data we keep processing on the device where we can, and build to comply with HIPAA or GDPR when your app needs it.
Flutter AI Tools
The official Flutter and Google AI tools we build with. For the AI coding tools we use day to day, see best AI for Flutter development.
01/ 06
Flutter AI Toolkit
The official chat widgets for Flutter: streaming replies, voice input, attachments and function calling, with a pluggable model provider.
02/ 06
Firebase AI Logic
Client SDK for calling Gemini models from Flutter (formerly Vertex AI in Firebase), with App Check and per-user rate limits.
03/ 06
Gemini Models
Google's cloud models for chat, summaries and images with text. We pick the current model for each feature rather than locking in a version.
04/ 06
Google ML Kit
On-device vision and language APIs for Android and iOS, plus Gemini Nano GenAI APIs on supported Android phones.
05/ 06
LiteRT
Google's on-device runtime, built on TensorFlow Lite, for custom models on Android, iOS, web and desktop.
06/ 06
GenUI SDK (Alpha)
Lets an AI agent compose screens from your own Flutter widgets. Still experimental, so we use it in pilots with a hand-built fallback.
Our Work
Two AI apps from our portfolio: a personal fitness app and a trip planner built on generative AI.
Travel
AI-Powered Trip Planner App
An AI trip planner that uses generative AI and large language models to suggest hotels, transport and attractions, so travelers make the most of every day.
Who We Build For
Each industry here is one we have shipped apps in, with the AI features that fit it.
01 / 05 · Health and Fitness
Expertise You Trust
Six reasons, and you can check each one before you sign.
01 / 06Expertise You Trust
AI Shipped in Real Apps
Our portfolio includes an AI fitness app and a generative AI trip planner, both built for real users, not as demos.
02 / 06Expertise You Trust
Straight Advice on Where AI Fits
If a rule, a filter or a form solves the problem better than a model, we will tell you before you pay for one.
03 / 06Expertise You Trust
Try Before You Commit
Our 1 week risk-free trial lets you work with the developers on real tasks before you sign a longer agreement.
04 / 06Expertise You Trust
Experienced Developers
75+ experienced developers work at Dartitude, averaging 5+ years of hands-on app development, so we can staff your project quickly.
05 / 06Expertise You Trust
Your Code Stays Confidential
We sign an NDA before you share any details, and it covers everyone who works on your project.
Let’s Build the Future Together
Book a free call with our Flutter team. Bring the feature idea or the app you have, and leave with a clear next step. We reply within 24 hours.
Clients Trust Us
“
The app was delivered ahead of schedule, leaving the client impressed with Dartitude's efficiency. The vendor ensured a seamless customer experience by always addressing queries and requests promptly. Moreover, they worked flexibly to accommodate any ad hoc tasks and followed a professional approach.
Arinze PascalCEO, Bakoomba Fitness
“
Dartitude's efforts were met with positive acclaim, thanks to their attention to detail and agile methods. The team was highly receptive to questions and feedback, and internal stakeholders were particularly impressed with the vendor's personable approach and flexibility.
Anonymous Clutch reviewerCEO, AI Content Solutions Company, Spain
“
Dartitude has delivered the project on time, meeting the client's expectations. They have communicated frequently and promptly via virtual meetings, ensuring an effective workflow. Their responsiveness has been a hallmark of their work.
Anonymous Clutch reviewerCTO, Education Company, Germany
“
The engagement was a success; Dartitude completed four months worth of work in just one month. They guided the client through the best rollout plan and went the extra mile to keep everyone involved in the process. Overall, they were transparent, timely, communicative, and professional.
Arpan GargFounder, Commudle
“
Dartitude delivered quality software, which the client utilizes. The team professionally followed the agile methodology. Overall, their professional behavior was remarkable.
Mahesh ShastryCEO & Founder, FlyNava Technologies
Related Services
AI features live inside an app. These services cover the rest of it, before and after launch.
Flutter App Development Services
A complete Android and iOS app around your AI feature. See our Flutter app development services .
FlutterFlow Development Company
Building visually instead? See FlutterFlow AI features and our FlutterFlow development company page.
Flutter App Design Services
Generative UI needs a clean widget catalog to build from. See Flutter app design.
Hire Flutter Developers
Add AI skills to your own team. You can hire Flutter developers full time or part time.
Flutter Insights
Practical articles on Flutter, AI features and building apps that last.
Your Questions, Our Answers
We’re Ready to Connect
Have a question or ready to get started? Use our simple contact form to share your needs, and we’ll respond promptly.
Contact Us
Yes. Flutter apps can call cloud models such as Gemini through Firebase AI Logic, run on-device machine learning with Google ML Kit or LiteRT, and show chat interfaces with the official Flutter AI Toolkit. Because Flutter builds Android and iOS from one Dart codebase, each AI feature is built and tested once and reaches both app stores in the same release.
The most common are chat assistants, smart search, personalized recommendations, text and barcode scanning, translation, summaries and assistants that call app functions such as booking or form filling. We also build generative UI pilots, where the app composes screens from your own widgets. On the free call we help you pick the one feature that will matter most to your users.
Yes. Most AI features can be added to the screens you already have, without a rewrite. We review your code first, connect the model through Firebase AI Logic or your backend, and release the feature behind a flag so you can test it with a small group of users before everyone gets it.
Use a cloud model when the feature needs strong reasoning, long input or images and text together, such as an assistant. Use on-device AI when it must work offline, respond instantly or keep sensitive data on the phone, such as document scanning. Many apps use both, with the cloud as a fallback when a device cannot run the model.
For cloud features we usually start with Google's Gemini models through Firebase AI Logic, which works with Flutter and keeps the API key off the device. For on-device work we use ML Kit, LiteRT and, on supported Android phones, Gemini Nano. If your company already uses another provider, we connect it through your own backend.
No model API key ships inside the app: calls go through Firebase AI Logic, protected by Firebase App Check, or through your backend. We set per-user rate limits, track usage from launch and add a fallback for every failure. Actions such as payments or bookings always ask the user to confirm first.
The app itself follows our usual ranges: a simple Flutter MVP typically costs $10,000 to $30,000 and a mid-complexity app $30,000 to $80,000. AI adds build work for the feature, its safety checks and testing, plus model usage fees that the provider bills as people use it. We price each AI feature separately in your written estimate.
Not fully. Google's GenUI SDK for Flutter, which lets an AI model compose screens from your own widget catalog, is still marked experimental and in alpha, so its API is likely to change. We recommend a pilot on one flow, behind a feature flag and with a hand-built fallback, before rolling it out more widely.
