AI app development and integration
AI features built into the apps your customers and team already use: assistants that answer questions, search that understands what people mean, and automation that takes repetitive work off your desk. Designed and engineered in Toronto for iPhone, Android, desktop and the web.
- Works with
- iOS · Android · Windows · macOS · Web
- Models
- OpenAI · Anthropic Claude · Google Gemini · open models
- Your code
- You own all of it
- Studio
- Toronto · Est. 2010
What we build (6)
AI that does a real job inside your product.
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Chat assistants
An assistant inside your app or website that answers questions from your own content: help articles, product details, policies or account information. It hands over to a person when it should.
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Smart search
Search that finds what people mean, not only the exact words they typed, across products, documents, courses or support articles.
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Documents and summaries
Read invoices, forms, contracts or reports, pull out the fields you need, and summarise long text into something a person can act on.
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Writing and content tools
Draft replies, product descriptions, listings or notes inside your own tools, with your tone and rules, for your team to review before anything is sent.
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Workflow automation
Sort incoming requests, tag and route tickets, fill in records and trigger the next step, so routine work runs on its own and people handle the exceptions.
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Voice and images
Voice input, transcription and image understanding in mobile and desktop apps, for hands-free use or for turning photos into data.
How we add AI (4)
Useful first, then clever.
- 01
Find the job
We look at where your users or staff lose time today and pick the one AI feature that would help most. If AI isn't the right answer, we say so.
- 02
Prototype with your data
A small working version, tested on real examples from your business, so you see what it gets right and wrong before committing to a full build.
- 03
Build it in
We connect the model to your app, your database and your accounts, with limits on what it can see and do, a way to check its answers, and a fallback when it can't help.
- 04
Measure and maintain
We track cost, speed and answer quality after launch, and update prompts and models as better ones arrive.
Built to be trusted (3)
Your data stays under your control.
What the model sees
We decide with you which data goes to an AI provider and which never leaves your servers, and we use provider settings that keep your data out of their training where they offer them.
Choice of model
We’re not tied to one provider. We pick the model that fits the job and your budget, and keep the option to switch.
People stay in charge
For anything that matters, like sending, paying or deleting, the app asks a person to confirm.
Questions (7)
What people ask before adding AI.
Can you add AI to an app we already have?
Yes. Most AI work is adding a feature to an existing iPhone, Android, desktop or web app. We review your code and data first, then build the feature in.
Which AI models do you work with?
OpenAI, Anthropic Claude, Google Gemini and open models you can host yourself. We recommend one per feature based on quality, cost and where your data is allowed to go.
Will our data be used to train the AI?
We set up the providers’ business settings that keep your data out of model training where they offer them, and we can keep sensitive data on your own servers entirely.
What does it cost to run?
AI providers charge per use. We estimate the running cost during the prototype, so you know it before the full build.
Can the AI make mistakes?
Yes, so we design for it: answers come from your own content, the app shows where an answer came from, and important actions need a person to confirm.
Do we own the code?
Yes. You own all the code we write for you, including the AI features.
Related services (4)
More from the same team.
Tell us what you're building.
Start a project
- support@iexperto.io
- Studio
- 50 Carroll St
Toronto, Ontario M4M 3G3
Canada - Studio time
- Since
- 2010