What are Software Testing Management Tools?
Cara Suarez
At Kobiton, we empower enterprises to overcome the challenges of mobile app development by providing a robust, secure platform that prioritizes data privacy. We accomplish this with the highest standards of data privacy and security. As more organizations demand greater control over their data, our on-premises deployment, enhanced by integrated machine learning (ML), ensures that your sensitive information remains protected within your own infrastructure. With Kobiton, you can confidently innovate and enhance your mobile experiences, knowing that your data stays where it belongs—securely within your organization’s environment.
In today’s world, data sovereignty isn’t just a nice-to-have—it’s a necessity. With Kobiton’s on-premises solution, your organization’s data remains entirely within your own infrastructure, behind your firewall. This means no one, aside from your team, can access or utilize your data. Unlike many AI-driven platforms, we never use your on-prem data for external model training. This is our commitment to ensuring your data stays protected and within your control, always.
Further, our ethical approach to AI development means that all model training is conducted with full transparency. We exclusively train our machine learning models using mobile applications that are publicly available on the Google Play Store and Apple App Store. By relying on open-source data, we ensure that our AI practices remain transparent, secure, and ethical.
Kobiton’s on-premises machine learning empowers you to leverage AI’s capabilities while maintaining strict data privacy. Instead of retraining models with your sensitive data, our system intelligently stores and utilizes annotations (remediations) to improve subsequent test executions. This approach enhances platform capabilities without compromising data security, allowing your testing process to benefit from past learnings without retraining the model with your sensitive data.
A frequent question we encounter is whether Kobiton leverages large language models (LLMs). The answer is no. Instead, we utilize a highly advanced transformer-based AI architecture developed in-house. Transformers, often associated with natural language processing, excel at handling proximity data, which makes them ideal for enhancing the precision of Kobiton’s Scriptless Automation features. Our innovative architecture not only ensures high accuracy but also strengthens the reliability and performance of our mobile testing solutions.
Looking ahead, our goal is to offer Kobiton on-premises customers the ability to create personalized machine learning models tailored specifically to their apps and use cases. Envision AI that continuously learns and evolves based on your proprietary data, enhancing efficiency and precision in your testing process. While this capability isn’t part of our current offering, it’s an exciting vision we’re actively working toward.
What truly sets Kobiton apart is our commitment to developing proprietary AI models in-house, without relying on third-party solutions. By maintaining control over our architecture and adhering to strict data security practices, we provide enterprises with a robust, private, and powerful mobile testing platform. Kobiton is where data sovereignty meets cutting-edge innovation, delivering unparalleled value to organizations that prioritize both security and quality.
In a world where data privacy and AI are increasingly intertwined, Kobiton offers the best of both worlds—powerful mobile testing solutions that keep your data exactly where it belongs: safe and within your control.