Our Machine Learning team has shipped hundreds of projects for fast-moving product teams. Every engineer on your project is senior-level — experienced enough to handle complexity without slowing you down.
AI tools we use:
Trusted by dozens of teams that don't compromise on talent.
Utilize advanced algorithms to develop intelligent mobile apps with personalized user experiences.
Extract valuable insights from app data to enhance performance and user engagement.
Implement machine learning models to provide customized app experiences for users.
Fine-tune ML models to improve efficiency, accuracy, and overall performance of mobile apps.
Select and deploy the most suitable machine learning algorithms for achieving desired app functionalities.
Predict user behavior and app trends using machine learning analytics to guide app development decisions.
Machine Learning Mobile App Case Studies
A transportation startup needed to rapidly expand its ride-sharing platform while entering new markets. Swovo augmented the internal team before becoming a core product development partner — improving live tracking, route optimization, and rider workflows using React Native and AWS, while helping scale product capacity without slowing expansion.
Swovo partnered with Nicolette to design and develop a mobile app that transforms complex clinical data into intuitive, easy-to-understand experiences for NICU parents. Built with React Native and integrated with hospital EHR systems, the platform gives families real-time visibility into their baby's health while supporting more informed care participation.
Swovo partnered with SAGE to design and develop a mobile experience that makes AI-powered conversations feel approachable, supportive, and human-centered. Through guided voice interactions, milestone tracking, and personalized conversational flows, we helped create a platform that empowers users to navigate challenges and reflect on their progress over time.
Swovo is an award-winning boutique design and engineering consultancy founded in Boulder, Colorado. We started in 2018 with a simple goal: build exceptional design and engineering teams powered by top talent across Latin America.
Our 40+ person team operates across Brazil, Colombia, Argentina, and the Dominican Republic — delivering senior-level expertise with real-time collaboration for US-based companies.
From early-stage startups to enterprise platforms, we help teams move faster without compromising quality.
80
80
Nps
3+
3+
Client relationship
5.0
5.0
Clutch rating
50+
50+
Industry awards
01
We have detailed discussions to understand your requirements, objectives, and challenges.
02
We provide you with a proposal that outlines scope, timelines, required resources, and costs.
03
A contract formalizes our relationship and commitment to delivering the agreed-upon services.
04
We kick off the project by dedicating our resources to design and implement the software solution.

Brian Bar
Founder and CEO

Storey Jones
Founder and CEO

Jeremy Zaborowski
Co-Founder & CTO

Heidi Hildebrandt
Director of Product

React Native is a framework for building cross-platform mobile applications using JavaScript and React.

Flutter is Google's UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase.

Swift is a powerful and intuitive programming language for iOS, macOS, watchOS, and tvOS app development, known for its safety and performance.

Kotlin is a modern, statically typed programming language used primarily for Android development and backend services.

Our team has deep expertise in machine learning algorithms and techniques to create intelligent mobile apps that leverage the power of AI.

We tailor our machine learning mobile app development services to fit your specific requirements, ensuring a personalized solution for your business.

We seamlessly integrate machine learning capabilities into your mobile apps, providing enhanced functionality and user experiences.

With a focus on data security, we implement robust measures to protect sensitive information in machine learning mobile apps.

Our solutions are designed for scalability and high performance, ensuring that your machine learning mobile apps can grow with your business.

We prioritize user-centric design principles to create intuitive interfaces and engaging experiences in machine learning mobile apps.