AI & ML development services

Choose Edge AI when you need real-time responses, high data security, lower operational costs for bandwidth, or if your device needs to operate in environments with unreliable internet connectivity.

The data required depends on the problem. It could be sensor readings (temperature, vibration), images, video feeds, or sound. The key is to have a large, high-quality, and well-labeled dataset relevant to the task you want to automate.

Cost varies based on complexity, data requirements, and the scope of the project. We provide a detailed proposal after an initial discovery and consultation phase to understand your specific needs.

Embedded ML, or TinyML, is the practice of running machine learning models on very low-power and resource-constrained hardware, like microcontrollers (MCUs). It's ideal for adding intelligence to small, battery-powered devices.

We use a rigorous process of data validation, model training with state-of-the-art techniques, and extensive testing against real-world scenarios. We define success metrics with you at the start and work iteratively to achieve the desired accuracy.

Absolutely. A large part of our work involves retrofitting intelligence into existing systems. We analyze your current hardware and design a solution that integrates seamlessly with your product.

We have deep expertise in Industrial Automation, Automotive, Retail, MedTech, and Smart Cities, but our foundational skills in embedded AI are applicable to almost any industry.

A typical project can range from 3 to 9 months, depending on the complexity. A proof-of-concept can often be developed much faster to validate an idea.

We offer comprehensive support and maintenance packages to ensure your AI models continue to perform optimally. We can also implement a lifecycle management plan for retraining and updating models as new data becomes available.