Project enquiries
Tell us the task, available data and the result you need. Scope, fees, timelines and deliverables are agreed before paid work begins.
Contact Artificial ModellingStart with
Start with
a conversation.
Operated by Aditya Ravi, based in India. Working with companies on custom AI models and synthetic data. Email aditya@artificialmodelling.in or send a short project brief below. You can request a Google Meet in the same form.
Privacy & service concerns
Use “Privacy request”, “Privacy complaint” or your project reference in the email subject. See our privacy policy and cancellation information.
Accessibility & website issues
Include the page URL and what you were trying to do. You can request another way to receive information; see our accessibility statement.
Please keep sensitive records out of a first message. Agree confidentiality, data permissions and a suitable transfer method before sending project material.
Start a conversationWhat are you
What are you
trying to build?
Tell us the task, the data you have and what a useful result would look like. A few sentences are enough.
aditya@artificialmodelling.in ↗Prefer to talk it through?
Request a Google Meet ↗
We’ll agree a time by email and send the meeting link.
Request a Google Meet ↗
We’ll agree a time by email and send the meeting link.
06 / Common questions
Before we begin.
A few practical things to know. For anything specific to your project, start a conversation.
Do we need to know which model we want?
No. Start with the task, the current process and the result you need. We can compare a simple baseline with more complex options during scoping.
Can you work with our existing data?
Yes, subject to a data review and agreement on permitted use. We look at formats, labels, sample size, quality and access constraints before choosing an approach. You can describe the data in your first enquiry without sending it.
Can synthetic data replace real data?
It depends on the use case. Synthetic data can help with testing, coverage gaps and augmentation. It should be evaluated against the intended task and representative real data where available. It is not a guarantee of accuracy or privacy.
Who owns the code, models and datasets?
Ownership and usage rights are set in the project agreement. We identify third-party models, libraries and source data with their applicable licences. Any transfer of custom deliverables is defined before work starts.
Can we agree confidentiality before sharing data?
Confidentiality, access and data handling requirements can be discussed during scoping. Share a high-level problem description first. Do not put confidential records or personal data into the enquiry form.
What does a project cost, and how long does it take?
Fees and timelines depend on the data, technical uncertainty, integration needs and deliverables. After an initial discussion, the proposal sets out milestones, assumptions, fees and the expected schedule.
Do you integrate the model into our product?
Integration can be included in the scope. That might mean a batch pipeline, an inference API or a documented interface for your developers. Hosting, ongoing operation and monitoring responsibilities need to be agreed separately.