An AI app is judged on what happens when the model is uncertain. Users forgive a wrong answer they can check and correct; they abandon a product that presents every output in the same confident tone.
So we design for that reality: input surfaces that make a good first attempt easy, waiting and streaming states designed rather than hidden behind a spinner, and sources, confidence, and correction paths built into the result screen.
3 main challenges holding back your growth
Outgrown identity
Your company has grown, but the brand no longer reflects scale or direction.
Outgrown identity
Your company has grown, but the brand no longer reflects scale or direction.
Outgrown identity
Your company has grown, but the brand no longer reflects scale or direction.
Blank prompt with no cues
An empty input with no examples — users never learn what the model can do.
Output with no provenance
Answers arrive with no source or confidence — nothing signals when to verify.
Latency hidden by spinner
Multi-second inference shown as a loading circle — users assume the app froze.
“All projects in which we’ve involved Halo Lab have been great successes, but their leadership on our brand refresh is worth highlighting.”
“We’ve had feedback from users, investors, and employees, and everyone has said that Halo Lab did a fantastic job with the branding.”
“We’re proud of their branding services. They not only do what we tell them but also make suggestions to help us improve our offerings.”
What we deliver
AI app design from
first prompt to correction
Input & Prompt Design
Prompt, camera, and voice inputs designed so that a user's first attempt actually succeeds.
Result & Confidence
Outputs shown with sources, confidence, and an obvious way to verify what the model returned.
Waiting & Streaming
Inference time designed as a state, with progress, partial output, and a way to cancel it.
Correction & Feedback
Editing, regenerating, and rating designed to improve both the session and the model itself.
Onboarding & Framing
A first session that teaches what the model does well and where it is most likely to fail.
Model Settings
Model choice, memory, and history made legible instead of buried deep inside a settings screen.
Privacy & Data Use
What is stored, sent, and trained on stated in the interface itself, not on the policy page.
Design System
Reusable component library delivered, so your team ships new screens without a full redesign.
Our most ambitious work
How we work
Our process for your
AI app design
Start with a strategy call where we align on your goals, challenges, and priorities, and set a clear direction for the entire branding process.
3–4 Days
Research & analysis
User & Model Mapping
We map what users bring to the model, what it reliably does, and where it fails, before any flow or screen is designed.
3–5 Days Audience map
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App Architecture & User Flows
We structure input, result, and history navigation, and decide where controls and disclosure sit — validated before wireframing begins.
3–5 Days Flow structure
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Wireframes
We wireframe critical AI screens — input, result, and correction flow — validated before full visual design.
3–5 Days Wireframes
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UI Design & Design System
We design every screen for iOS and Android — and build the component library alongside each flow.
1–3 Weeks UI designs
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Engineering Handoff
Annotated Figma files, platform specs, and component documentation — your team builds without ambiguity.
2–3 Days Handoff
Start with a strategy call where we align on your goals, challenges, and priorities, and set a clear direction for the entire branding process.
3–4 Days
Research & analysis
Industries we serve
Mobile app design for
diverse organisations
Healthcare
Mobile app design for hospitals, clinics, and health systems.
Financial Services
Mobile app design for banks, insurance firms, and financial platforms.
Logistics
Mobile app design for logistics, transport, and supply chain companies.
Real Estate
Mobile app design for property developers and management firms.
Education
Mobile app design for schools, universities, and e-learning platforms.
Web3 & Blockchain
Mobile app design for Web3 startups and blockchain-based products.
Wellness/Fitness
Mobile app design for wellness brands, gyms, and fitness studios.
Information Technology
Mobile app design for tech companies, software products, and platforms.
6 reasons why clients
choose Halo Lab
Team with industry depth
Strategy before design
Custom-only approach
Expertise for complex needs
Clear, collaborative process
Flexible value for any budget
100+ verified
love letters
“Halo Lab is very organized in planning to achieve the goals within the set deadlines. We feel they were part of our internal team project.”
“Their experts have a very diverse range of skills and always find a solution to exposed issues. The communication process was clear.”
“During the collaboration, Halo Lab prioritized our people, always taking into account our input and ideas and giving all team members a voice.”
“The Halo Lab team unified branding across our patients’ app, showcasing professionalism, convenience, and consistency.”
“Halo recreated our existing portal with a modern and beautiful experience, greatly increasing usability and delight for the end user.”
“Halo Lab is brilliant. We were impressed with their timely delivery, cost-effectiveness, and the people who knew what they were doing!”
“The value we get from Halo Lab and their quality designs sets them apart from others. They are the right mix of price, talent, and style.”
“We gave the Halo Lab team a chance, and we immediately knew they were the ones we wanted to work with.”
“The Halo Lab work pleasantly surprised us, and bringing in their professional design team has been a worthy investment for us.”
“When collaborating with Halo Lab, we felt that communication was straightforward and that the deliverables fit what we expected.”
“Halo Lab has helped us with a rebrand and defined a new name, logo, and color palette. We’ve had a great experience working with them.”
12 years
We’ve built one of the most trusted agencies
150+
Specialists in design, engineering & product management
78%
Returning clients in Europe & North America
FAQ
Why invest in branding services?
Why invest in branding services?
What does AI app design include?
Input and prompt design, result and confidence screens, waiting and streaming states, correction and feedback loops, onboarding and capability framing, model settings, privacy and data-use design, usability testing, and a design system with engineering handoff.
How do you design for a model that is sometimes wrong?
By making the output checkable. Sources, confidence, and an obvious path to edit or regenerate turn a wrong answer into a correction instead of an uninstall.
How do you help users write a good first prompt?
With examples, starting points, and templates in the empty state, plus camera and voice input where they fit. A blank box teaches nothing about what the model can do.
How do you design for inference latency?
As a designed state. Progress, streaming partial output, an estimate where one exists, and a cancel action — a spinner alone reads as a frozen app after two seconds.
Do you design feedback that improves the model?
Yes. Rating, editing, and regeneration are designed to capture why an output was wrong, so the signal is usable for evaluation and fine-tuning rather than a bare thumbs-down.
How long does AI app design take?
Most AI app design projects run 10 to 16 weeks from discovery to handoff, depending on the number of model surfaces, how much explanation is needed, and design system scope.
How do you handle privacy and data use?
In the interface. What is stored, what is sent to a model, and what is used for training are stated where the choice is made, with controls in reach rather than on a policy page.
Do you run usability testing?
Yes. Prototypes are tested with real users on real model outputs — including the bad ones, because the failure path is what decides whether an AI product is trusted.
Can you also develop the app?
Yes. Design and development are delivered by one team — iOS, Android, or cross-platform build, model and API integration, streaming and evaluation work, and QA before release.