Mobile Machine Learning
We build your next bestseller app based on modern mobile frameworks and development best practices.
Successfully deploying artificial intelligence and machine learning algorithms on mobile devices involves navigating a range of challenges due to the constraints of the runtime environment.
This includes limitations on the available software components, such as the need to convert models to the TensorFlow Lite (TFLite) format, which is optimized for mobile devices.
Additionally, both the execution of algorithms and their subsequent postprocessing must be carefully tailored to fit the restricted computing resources of mobile hardware.
This ensures that these applications not only perform efficiently but also maintain high performance standards on resource-limited platforms.
Our Toolset
Let’s Create Together
Connect with us to explore how we can make your vision a reality. Join us in shaping the future.
How do we build your product?
We can support in every phase of product development. To enhance productivity and accelerate time to market, we typically employ a proven, systematic approach to collaboratively build the product with you.
01
Concept and Ideation
Define the core idea, identify the problem we are solving, the target audience, and the essential differentiating features.
02
Feasibility Study
Assess the technical feasibility and market viability of the product through preliminary research and analysis.
03
Planning and Design
Outline the scope of a Minimum Viable Product (MVP) focusing on essential features only, and plan the project timeline, budget, and resources. Design initial wireframes or mockups.
04
Development of an MVP
Develop the MVP using rapid development cycles with continuous integration and testing, focusing on creating a functional prototype.
05
Testing and Iteration
Test the MVP internally and with users to gather feedback, and iteratively refine the product based on this feedback.
06
Launch
Officially launch the MVP to a broader audience, including marketing and user support preparations.
07
Evaluation and Scaling
Analyze the performance of the MVP against objectives, and scale the product by adding features and expanding the market reach if the MVP is successful.
Why Choose Us
Discover the reasons that set us apart.
Proficiency
With extensive expertise in audio processing, machine learning, and software development, we are the ideal partner for implementing audio and AI projects.
Approach
We use modern development tools and project management procedures to maximize productivity while retaining the highest quality outcomes for your product.
Team
We are tech enthusiasts, innovators and we live music. We’re driven to revolutionize your product by harnessing the latest in AI advancements.
12+
Years of Deep Tech experience
100%
Client satisfaction
1400+
GitHub Stars
3 Countries
Our team is based in Austria, India and the USA
Our Story
PhonicScore is the CultTech company from Vienna, Austria, the city of music, focusing on Music and Education. Since 2012 we are developing mobile apps, software libraries, plugins and AI solutions.