We design and build web and mobile applications where AI is the product, not a plug-in: copilots, recommendation engines, intelligent search and document intelligence your users rely on every day.
From idea to App Store, we combine product design, AI engineering and full-stack development to ship applications that feel smart and stay reliable.
Contextual AI assistants embedded in your app that help users write, analyse, configure and complete tasks faster.
Learn morePersonalised content, product and next-best-action recommendations built on your behavioural data and tuned for your KPIs.
Learn moreSemantic and hybrid search that understands intent, synonyms and images so users find what they mean, not just what they type.
Learn moreApplications that read, classify, extract and summarise contracts, forms, reports and scans at scale.
Learn moreNative and cross-platform iOS and Android apps with on-device and cloud AI for vision, voice and personalisation.
Learn moreSaaS and internal platforms designed around AI workflows, with the backend, data pipelines and UX to match.
Learn moreMobile app where agents photograph a property and get AI-generated descriptions, comparable pricing and listing drafts ready to publish.
Web app that recommends the next lesson from learner performance, generates practice questions and gives tutors an AI summary of each student.
Claims handlers upload reports, invoices and photos; the app extracts data, checks policy coverage and drafts a decision for review.
Great AI apps need more than a good model. They need product thinking, thoughtful UX for uncertainty, and engineering that keeps responses fast and costs sane.
We design how AI shows confidence, sources and edits so users trust the app and keep using it.
Retrieval, fine-tuning, evaluation and model routing handled by engineers who ship AI features for a living.
Cloud-native backends with queues, caching and streaming so the app stays responsive as usage grows.
Analytics and feedback loops built in from launch so the AI improves from how people actually use it.
We prototype the AI experience with real data in the first weeks, validate it with users, then build the production app around what proved valuable.
A modern full-stack toolkit paired with the AI models and infrastructure that fit your product.
A proven process to turn your ideas into powerful digital solutions.
We define users, jobs to be done and where AI creates real value, and check data readiness.
A working AI prototype with your data in two to three weeks, tested with real users.
Full product design and development in sprints with demos every two weeks.
Release, measure adoption and quality, and iterate on the AI with real usage data.
Answers to the questions we hear most often. Need more detail? Talk to our team.
A focused MVP typically takes 10 to 14 weeks including a prototype phase. Larger platforms are delivered in releases, with the first usable version in about three months.
Not always. Many features work with foundation models and your existing documents or catalogue. Where recommendation or prediction needs behavioural data, we design the app to collect it from day one.
Yes. We build responsive web apps and native or cross-platform mobile apps that share the same AI backend and APIs.
We design usage limits, caching and model routing into the product, and model costs per active user before launch so pricing and margins are clear.
You do. All source code, prompts, fine-tuned models and infrastructure are delivered into your accounts with full documentation.
Share your idea or the problem you want to solve and we’ll come back with a prototype plan, timeline and estimate.
Or schedule a free consultation
AI · Software · Digital Commerce
info@indexiz.com
+92 344 615 6660
Get the latest insights and updates.
© 2026 Indexiz. All rights reserved.
