At IndoAI, we focus on creating smart systems that help solve real problems. We can provide AI models that can be changed to fit our clients’ needs, working directly on our AI cameras and devices. This means clients can tailor the AI to their specific tasks instead of changing how they work to fit a standard AI tool. Every industry and project has its own challenges. A single AI model might not work for every situation. For example, an AI model made to recognize helmets on a road may not work well in a factory. Likewise, facial recognition needs to be different in schools compared to hospitals.
That’s where IndoAI comes in with our customizable AI.
Our AI cameras can run various models right on the device, allowing for immediate analysis without sending data to the cloud. Our platform allows different industries to easily load the models they need, whether for fire detection, reading vehicle plates, facial attendance, or any other custom tasks.
What sets IndoAI apart is our willingness to collaborate
We let developers and AI engineers( democratization of tech) from anywhere upload and test their own models on our devices, similar to an app store for AI, called Appization. For instance, if a logistics company needs an AI to spot damaged packages, or a farm needs to check crop health, we can create that for them or let their team handle it. We keep things clear and straightforward.
Our customers don’t need to be AI experts; they just need to explain their problem and we will find or customize a model that works. As needs change, the model can also change, so customers won’t get stuck with outdated software.
Customizable AI is also cost-effective. Instead of building expensive systems from scratch, customers can pick ready-made models and just tweak what they need. It’s quick, flexible, and efficient—just how modern technology should be. In short, IndoAI provides more than just AI cameras—we provide adaptable intelligence that grows with your needs and improves with use.
We are creating a community where developers, system integrators and users can all help and benefit from this shared AI system. Ultimately, our goal is simple: to make AI more user-friendly—flexible, easy to understand and helpful. Customizable AI models are just one step towards that goal.
