A defined problem
Agree on the decision or workflow before committing to a technical approach. Use a simple baseline to understand whether added complexity helps.
About Artificial ModellingA focused AI
A focused AI
& data studio.
Artificial Modelling is operated by Aditya Ravi and works with companies on custom machine learning and synthetic data projects. Based in India, we focus on clearly scoped work with usable deliverables.
The way we approach a project
Be specific.
Make the work inspectable.
A project starts with a problem description. The approach, data requirements and evaluation plan follow from the work your company needs to do.
Evidence you can review
Document evaluation methods and look at failures as well as aggregate scores. Keep illustrative examples separate from measured project results.
A clear handover
Set deliverables, access, ownership and support responsibilities in the project agreement. Give your team instructions they can use after delivery.
Working together
Start with
a conversation.
We can discuss a feasibility study, a defined model or dataset project, or continued support after delivery. Fees and timelines are based on the agreed scope.
Your first message can be simple: what you are trying to build, the data you have and the result you need. Keep sensitive records out of the initial enquiry.
aditya@artificialmodelling.inBring us the problem.
We’ll discuss the data, constraints and a practical starting point.