New: Starter plans from ₹100 — fixed-price checks and reviews, GST included
An honest answer on whether your data can support the model you want, before you spend on building it.
Overview
Plenty of machine learning projects fail during the first week of a build, once someone finally checks whether the data supports the idea. This does that check first. We take your proposed use case, examine the data you actually hold, and produce a baseline model to see what signal exists. Sometimes the answer is a well-tuned model. Sometimes it is that a rules engine gets 90 percent of the value for a tenth of the cost. Either way you get the number before you commit a budget.
Deliverables
Benefits
A go or no-go decision backed by a measured baseline
Data quality problems surface before they derail a build
Sometimes a much cheaper non-model solution is found instead
Process
We define the prediction, the decision it drives and what good looks like
Data is profiled for completeness, leakage and label quality
A model is trained and measured against the rules alternative
Findings, numbers and a build estimate presented on a call
You can share these from your order page after checkout. The timeline starts once they are received.
FAQ
You get that answer with the evidence, which is the cheapest possible outcome. We would rather lose a build than sell one that fails.
It depends on the problem, but a few thousand labelled examples is a reasonable starting point for most classification tasks.
Yes, before any data is shared. Extracts are deleted at the end of the engagement on request.
Tell us about your project and we will confirm whether this service fits, or suggest a better option.
This is a professional service delivered remotely; nothing is physically shipped. See the Delivery Policy and Refunds & Cancellation for how delivery, delays and refunds are handled.
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Next step
Pick a service with a published scope and price, start small with a plan from ₹100, or tell our team what you need.