Model Generalisation: Tiliter's Secret Sauce

Christopher Sampson

In today's fast-paced retail environment, businesses require advanced solutions that can adapt to diverse hardware platforms and use cases.

Tiliter's Recognition API delivers exceptional performance and compatibility thanks to its model generalisation capabilities.

But what sets our technology apart from the competition? Let's dive in and explore Tiliter's secret sauce.

Why Model Generalisation Matters

With a wide range of hardware devices and configurations, it's essential to have flexible AI tools that work with your business rather than requiring significant implementation changes.

Model generalisation refers to the ability of a machine learning model to perform well across different devices and environments, ensuring its robustness and scalability.

This is crucial in the retail industry, where businesses operate with varying hardware setups and require solutions that can adapt seamlessly.

Tiliter's Approach to Model Generalisation

At Tiliter, our team of experts has meticulously designed our Recognition API with model generalisation in mind.

We have several patented processes that allow us to deliver unrivalled performance that scales.

We've achieved this through the following strategies.

Data Augmentation

We use advanced patented data augmentation techniques to enhance our training datasets. This enables our models to adapt to a wide range of real-world conditions.

Continuous Improvement

We constantly update our models with new data and structures and retrain them to maintain high performance. This iterative process allows us to keep up with evolving hardware trends and ensures that our models are always up-to-date and optimised.

Benefits of Tiliter's Model Generalisation

Tiliter's commitment to model generalisation offers numerous benefits to businesses in the retail industry.

Cross-Platform Compatibility

Our models are compatible with a wide range of hardware devices. This allows retailers to integrate Tiliter's Recognition API into their existing software and infrastructure.

Improved Performance

By ensuring that our models perform well across diverse hardware setups, we deliver fast and accurate results, enhancing the overall efficiency of retail operations.


Tiliter's generalised models can be easily scaled to accommodate growing retail businesses, providing a reliable and future-proof solution without extensive training cycles.


Our models' cross-platform compatibility eliminates the need for expensive hardware upgrades or retailers being locked into specific hardware platforms, resulting in cost savings for retailers.

Tiliter's model generalisation capabilities set us apart from competitors, providing a robust, versatile, and scalable solution for businesses in the retail industry.

Our Recognition API empowers retailers to streamline operations, enhance customer experience, and unlock new growth opportunities.

Discover the power of Tiliter's Recognition API and take your retail business to the next level.

Contact Tiliter for API Access.

Read the API Documentation


Chris is Co-founder and Chief Technology Officer at Tiliter.

Christopher Sampson

Related Products

Tiliter computer vision products help reduce shrinkage and fraud.