AI-powered mobile app development

We build iOS, Android, and cross-platform apps that combine mobile product engineering with AI system design. As a result, our clients' mobile apps support copilots, LLM-based workflows, and on-device intelligence.

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Clients rate our services

5.0

Full-cycle mobile app development

We build mobile apps that meet your business goals with precision and care:

Deployment & Support

We manage App Store and Google Play submissions, navigating strict guidelines for a smooth rollout. Post-launch, our team provides ongoing updates, monitors performance, and resolves issues quickly.

We bridge mobile engineering and AI system design

We handle both layers. Our software development lifecycle covers the mobile foundation: app architecture, platform fit, release stability, and interface performance. Our agentic development lifecycle covers the intelligence layer: model selection, prompt and tool design, retrieval flows, guardrails, evaluation, and post-launch monitoring.

Mobile app SDLC
  • Defines the app architecture, native or cross-platform stack, backend contracts, and release plan
  • Focuses on app stability, startup speed, battery use, network handling, and device behavior
  • Covers QA, regression testing, store-readiness checks, analytics, and version releases
  • Shapes navigation, screen logic, offline states, and permission flows
Agentic development lifecycle
  • Defines the AI architecture, model routing, tool use, retrieval flow, and memory approach
  • Focuses on output quality, latency handling, grounding, safety policy, and fallback logic
  • Covers eval sets, prompt revisions, model updates, monitoring, and rollback decisions
  • Shapes copilot behavior, response format, human review points, and trust signals

Build Your Custom Mobile App

We turn ideas into high-performance iOS, Android, and cross-platform apps users love.

Our mobile development principles and best practices

We established comprehensive guidelines during the past years, combining the best industry practices and our internal guidelines to deliver high-quality, user-focused mobile applications.

Mobile and AI layer designed together

We immediately consider where the model will run, how the app will behave on the device, and how AI features will impact speed, privacy, and UX.

SDLC + ADLC

We bridge standard mobile development for the app's stability and ADLC for the quality of model responses, security, evaluations, monitoring, and updates to the AI logic.

Engineering oversight over AI

We use AI tools where they speed up implementation, but all code, tests, and architectural decisions are reviewed by the team.

Mobile limitations awareness

We design AI features with battery life, memory, unstable network conditions, background limitations on iOS and Android, and App Store and Google Play requirements in mind.

AI behavior testing

We test the model's compliance with product rules, its ability to work with the required data, and its handling of user flow.

Post-launch support

After the release, we update the app and the AI layer separately to improve models, prompts, retrieval, and response logic.

On-device AI vs. Cloud AI

The choice depends on where the application requires speed, where privacy is important, and how much AI logic should be processed in the mobile product.

CriteriaOn-device AICloud AI
LatencyMinimal latency for local tasks. The application doesn't wait for network requests.Dependent on connection quality and the response time of the external AI service.
PrivacySuitable for scenarios where data is best processed on-device without transferring it to the cloud.Requires server-side protection: isolation, redaction of sensitive data, storage rules, and access control.
CapabilitiesBetter suited for classification, scanning, text extraction, short summaries, and other local tasks.Better suited for complex reasoning, large retrieval indexes, long context, and heavier generation.
Offline operationCan work offline if the model and pipeline are hosted on the device.Typically limited or unavailable without a network connection.
AI logic updatesRequires consideration of the device and model size, and whether updates are delivered via a mobile release or a model package.The model, prompts, and retrieval logic are easier to update centrally on the server side.

Trust, privacy, and control in AI-enabled mobile apps

For a mobile AI product, data access must be explained, AI behavior must be restricted, and a new layer must be integrated.

We prepare AI functions for store reviews

We design mobile AI solutions to meet platform requirements for moderation, user data processing, access controls, and app behavior in sensitive use cases.

We explain data access for permissions

If an app requires a camera, microphone, geolocation, or photos, we build clear permission flows so the user can see in advance why access is needed and what exactly will happen after consent.

We add AI to existing mobile apps

If you already have an app written in Swift, Kotlin, or React Native, we can integrate AI functions without a complete rewrite, clean up vulnerable code, and integrate a new AI layer via an API, SDK, and server-side orchestration.

Managing AI after release via ADLC

Our work doesn't end after launch: we monitor response quality, update rules, test new model versions, and modify AI logic separately from the mobile client to ensure the product remains manageable and predictable.

Advanced mobile capabilities

We build these capabilities into the product architecture, with the mobile client, backend services, and AI layer working as one system.

Geolocation and context-aware flows

We integrate GPS, mapping, geofencing, and route logic for location-aware behavior. In AI products, location can also shape recommendations, field workflows, task routing, and context-sensitive assistance.

Intelligent push notifications

Push systems work better when they respond to product events, user state, and timing rules. We build notification flows tied to backend logic, segmentation, and mobile behavior, with AI used to improve message relevance, prioritization, and response handling.

Secure in-app payments

We integrate payment gateways, subscriptions, and transactional flows that match the product's security and compliance requirements. When needed, AI can support purchase assistance, payment support flows, and anomaly detection around transaction behavior.

Conversational Voice AI

We build voice interfaces that let users navigate the app, query data, retrieve answers, and complete tasks through natural language. The stack can combine speech recognition, LLM-based reasoning, tool calling, and latency controls designed for mobile use.

In-app agentic copilots

We build in-app copilots that connect to your app's knowledge sources, business logic, and system actions via retrieval, governed APIs, and permission-aware access. These copilots can answer product questions, support users, resolve ticket flows, and perform multi-step actions.

On-device AI and edge computing

We use on-device AI when a product needs offline support and faster response times, including quantized small language models, Core ML pipelines, ML Kit features, and hybrid on-device or cloud execution.

From Idea to App Store Launch

We cover the full cycle โ€“ from wireframes and code to launch and long-term support.

Industry-specific mobile AI blueprints

We build mobile apps with AI features for industries where the product must meet specific requirements for data handling, system access, performance, and offline behavior. The architecture depends on the use case.

EdTech

Educational apps must maintain the course flow, help maintain the pace, and provide support when needed. We create mobile EdTech products where AI enhances the learning system: they can explain a complex passage, analyze an answer, help with practice, or guide through the material, all within a predetermined structure.

EdTech development
Student with a book
Student with a book

eCommerce

We develop eCommerce apps to shorten the path from inquiry to order. AI can take on some of this work: understanding more complex wording, clarifying intent, selecting relevant products, and assisting with selection when the catalog is large or the choice is non-obvious.

Ecommerce development
Pay terminal
Pay terminal

FinTech

We build fintech mobile apps for banking, payments, investing, and personal finance. AI features can include voice input, grounded account queries, spending summaries, and guided actions tied to user permissions and transaction data.

Fintech mobile apps
Pay terminal with a bank card
Pay terminal with a bank card

Healthcare

We build healthcare mobile apps for telemedicine, patient portals, clinical workflows, and remote monitoring. When sensitive data should stay off the cloud, we can run selected AI features on the device so patient inputs are processed locally.

mHealth apps
Microscope with a hand
Microscope with a hand

Logistics

In logistics, a mobile app must withstand connection failures, high load, and constant context changes. We design such apps so that key actions are immediately available on the device, and synchronization occurs without unnecessary user interaction. AI is useful here for recalculating routes, prompting the next step, and reducing manual decisions.

Logistics software development
Truck parking
Truck parking

AdTech & MarTech

We build mobile tools for campaign monitoring, customer engagement, analytics, reporting, and assisted content workflows. AI can help teams analyze signals, surface insights, and support routine actions inside the app.

AdTech software development
A digital dashboard
A digital dashboard

Our mobile tech stack

Technologies we use to build reliable, scalable, and AI-ready mobile products.

Mobile engineering

  • Swift (iOS)
  • Kotlin (Android)
  • Java (Android SDK)
  • React Native
  • Flutter
  • Kotlin Multiplatform

Web and companion interfaces

  • ReactJS
  • Vue.js
  • Angular
  • Next.js
  • Bootstrap

Backend and integration

  • Node.js with Express
  • Django
  • ASP.NET Core / .NET
  • Flask
  • Spring Boot
  • Ruby on Rails

AI and ADLC layer

  • Core ML
  • Apple Foundation Models
  • Google ML Kit
  • LiteRT
  • OpenAI
  • Anthropic
  • Amazon Bedrock
  • Vertex AI
  • LangGraph
  • LangSmith

Observability and release

  • Firebase Crashlytics
  • GitHub Actions
  • GitLab CI/CD
  • Jenkins
  • Docker
  • Kubernetes
  • Xcode Cloud
  • Bitrise
  • Codemagic
  • Firebase App Distribution

Cloud and connected platforms

  • AWS
  • Microsoft Azure
  • Google Cloud
  • AWS IoT Core
  • Azure IoT Hub
  • Amazon S3

Check mobile apps we successfully launched

UShopper
UShopper

UShopper โ€“ iOS eCommerce platform with Apple Pay

~30% lower checkout drop-off with Apple Pay integration; full iOS storefront from kickoff to launch in 1 month.

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  • Startups
Farm Animal IoT
Farm Animal IoT

Platform for vital farm animals signs monitoring

An IoT platform connecting a matchbox-sized farm animal wearable to a real-time visualization and diagnostics dashboard โ€“ reducing monitoring setup time by ~55% and eliminating invasive multi-device procedures for veterinary clinics and farms.

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  • IoT
  • Startups
Renting Boats
Renting Boats

Renting Boats app: making boats booking easy

Mobile and web booking service of boat lending and renting that allows users to search and book various types of boats for voyages.

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  • Startups
Health Monitoring
Health Monitoring

Adaptive health monitoring app with 20,000+ downloads

A mobile health app with 98% user satisfaction and ~65% program completion rate, delivering real-time blood pressure and pulse monitoring through a smart cuff across five wellness program categories.

View More
  • IoT
  • Startups

Dave Alce

COO

From the early stages of the project, Nexterse LLC demonstrated a proactive attitude, actively seeking opportunities to enhance the solution and anticipate our needs. They consistently took the initiative to address any potential issues, provide timely updates, and offer solutions to challenges that arose during development. This proactiveness greatly contributed to the project's success and exceeded our expectations.

Alexander McCaig

Alexander McCaig

Co-Founder & CEO, Tartle

The system has produced a significant competitive advantage in the industry thanks to Nexterse LLC's well-thought opinions. They shouldered the burden of constantly updating a project management tool with a high level of detail and were committed to producing the best possible solution.

Andrey Kubka

Andrey Kubka

Product Technology Manager, Mediatron

Nectarin LLC aimed to develop a complex Ruby on Rails-based platform, which would be closely integrated with such systems as Google AdWords, Yandex Direct and Google Analytics.

Benjamin Dorsinvil

Benjamin Dorsinvil

Founder, SellBig

I was impressed by Nexterse LLC's prices, especially for the project I wanted to do and in comparison to the quotes I received from a lot of other companies. Also, their communication skills were great; it never felt like a long-distance project. It felt like Nexterse LLC was working next door because their project manager was always keeping me updated.

Damian Gevertz

Damian Gevertz

Founder & CEO, Widgety

We tried another company that one of our partners had used but they didn't work out. I feel that Nexterse LLC does a better investigation of what we're asking for. They tell us how they plan to do a task and ask if that works for us. We chose them because their method worked with us.

Domien Van Eynde

Domien Van Eynde

Team Lead, Daiokan.com

Nexterse LLC is the firm to work with if you want to keep up to high standards. The professional workflows they stick to result in exceptional quality. Importantly, they help you think with the business logic of your application and they don't blindly follow what you are saying. Which is super important. Overall, great skills, good communication, and happy with the results so far.

Katerina Bromberg

Katerina Bromberg

Co-Founder, MyMediAds.com

Together with the team, we have turned the MVP version of the service into a modern full-featured platform for online marketers. We are very satisfied with the work the Nexterse LLC team has performed, and we would like to highlight the high level of technical expertise, coherence and efficiency of communication and flexibility in work. We can confidently say that Nexterse LLC has put all our ideas into practice.

Maria Duyunova

Maria Duyunova

Director, Simplimagine LLC

We are absolutely convinced that cooperation between companies is only successful when based on effective teamwork. But the teams may vary on the degree of their cohesion.

Michael Karbushev

Michael Karbushev

Senior Director of Engineering, Evolv

They are very sharp and have a high-quality team. I expect quality from people, and they have the kind of team I can work with. They were upfront about everything that needed to be done. I appreciated that the cost of the project turned out to be smaller than what we expected because they made some very good suggestions. They are very pleasant to work with.

Paul S. Chun

Paul S. Chun

CTO, Rivalfox GmbH

Rivalfox had the pleasure to work with Nexterse LLC in building out core portions of our product, and the results really couldn't have been better. Nexterse LLC provided us with engineering expertise, enthusiasm and great people that were focused on creating quality features quickly.

Pratasevich Ivan

Chief Executive Officer, Ivanco-Media LLC

We'd like to thank Nexterse LLC for the exceptional technical services provided for our business. It should be noted that we started our project's development with another team, but the communication and the development process in general were not transparent and on schedule. It resulted in a low-quality final product.

Yevgeniy Rozenblat

Yevgeniy Rozenblat

Program Manager, TL Nika

Nexterse LLC succeeded in building a more manageable solution that is much easier to maintain.

Yuriy Semenchuk

Yuriy Semenchuk

General Director, Business Car

When looking for a strategic IT-partner for the development of a corporate ERP solution, we chose Nexterse LLC. The company proved itself a reliable provider of IT services.

Yury Haverman

Founder, BoxForward

Thanks to Nexterse LLC's can-do attitude, amazing work ethic, and willingness to tackle clients' problems as their own, they've become an integral part of our team. We've been truly impressed with their professionalism and performance and continue to work with the team on developing new applications. We are completely satisfied with the results of our cooperation and will be happy to recommend Nexterse LLC as a reliable and competent partner for development of web-based solutions.

Alex Phelps

Alex Phelps

CEO

We've been working with Nexterse LLC for a few years, starting from the initial monitoring system, so they already understood our environment quite well. At the same time, they still managed to surprise us with their professionalism.

Dillon Christensen

Dillon Christensen

CEO

We'd like to sincerely thank Nexterse LLC for the work they've done on our maintenance system. At one point, our maintenance efforts became inefficient โ€“ long downtimes and rising repair costs became the norm.

Erica Lindsay

Erica Lindsay

Manager

We had already invested in AI, but the output was unclear. There were multiple initiatives across the company, each showing some promise, but no clear way to evaluate them or connect them to business outcomes.

Paul Fardoe

Paul Fardoe

Director

Nexterse LLC is flexible, efficient, and extremely good at planning and being proactive. They have also been very proactive in their approach throughout the project, seeking to understand the needs and the reasons behind them before launching into development, which has been helpful for maintaining direction and consistency.

Talk to Nexterse Mobile App Experts

Get strategic insights and technical guidance from developers with real-world success.

Advanced tech in mobile apps

We use advanced technologies in mobile products when they improve response time, device-side processing, system access, or connected workflows. The point is to support a product requirement that standard mobile patterns do not cover.

Internet of Things (IoT)

We connect mobile apps to sensors, gateways, machines, wearables, and smart devices so users can monitor status, receive alerts, send commands, and review device data from one interface. This is useful in smart home products, industrial systems, healthcare devices, and logistics operations where the phone acts as the control point.

Augmented reality (AR) & virtual reality (VR)

We build AR and VR features for guided training, product visualization, remote assistance, and immersive learning. On mobile, that can mean overlaying instructions on a camera view, placing products into a physical space before purchase, or using 3D environments for simulation and onboarding.

5G technology

We design mobile flows that take advantage of 5G when low latency and higher throughput affect the product experience. That includes live video, remote inspection, media-heavy collaboration, and field workflows that depend on fast sync.

Edge computing

We use edge computing when selected workloads should run closer to the user or directly on the device, rather than waiting for repeated cloud round-trips. In mobile apps, this can support faster response times, lower network dependence, and tighter control over sensitive data.

Biometric authentication

We integrate face and fingerprint authentication to help users sign in faster and confirm sensitive actions, while the app still relies on secure storage and server-side controls.

Wearable and smart device integration

We connect mobile apps with Apple Watch, Wear OS devices, health monitors, fitness trackers, and other companion hardware when users need glanceable data, short interactions, background sync, or quick actions away from the phone.

Why companies choose Nexterse LLC

Mobile engineering with AI delivery capability

We build both layers of an AI-powered mobile product: the app itself and the intelligence behind it. Our teams handle mobile architecture, backend integration, and release quality, then apply ADLC to model selection, retrieval flows, evaluation, guardrails, and post-release monitoring.

Strong delivery base

Since 2012, we bring years of delivery experience across startups and enterprise projects. Teams are staffed with senior engineers who can work through complex product requirements, legacy constraints, and platform-specific issues without slowing the roadmap.

AI-assisted development with engineering control

Our developers use AI coding tools that help speed up implementation, refactoring, and test coverage. The output still goes through code review, QA, security checks, and release validation before it reaches production.

Security and quality standards

We work under ISO 27001 and ISO 9001 standards and build mobile products with structured QA, controlled delivery, and secure engineering practices. For regulated products, we also account for requirements such as HIPAA and role-based access controls.

Cost-aware architecture choices

We choose native, cross-platform, on-device AI, or cloud AI based on product scope, operating cost, compliance needs, and long-term maintenance.

Post-launch support

We support mobile apps after release with updates, monitoring, issue resolution, model iteration, and ongoing improvements to both the product and AI layers.

Awards& Recognitions

Nexterse LLC has been recognized by leading analytics agencies from around the world. We deliver value, not just software.

GoodFirms recognition
TDA recognition
AWS Partner Network
Responsive Design Development 2025
Mobile Software Development 2025
IoT Services 2025

Get a Detailed Project Estimate

Receive a clear breakdown of cost, timeline, and tech stack tailored to your app concept.

Frequently asked questions

We reduce unnecessary model calls, compress payloads, cache results, and move selected tasks on device when it makes sense.

Let's start

What's next
1. Tell us your vision
2. Expert discovery session
3. Receive your custom roadmap
4. Launch your project
If you have any questions, email us info@nexterse.com

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Account manager
Alex Morgan
Account Manager
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