Description
01 / Overview
What this service delivers
Many AI projects stall once someone finally asks whether the data can support the idea, so we ask that question at the outset. Starting from your proposed use case, we examine the data you genuinely have and train a baseline model to gauge how much predictive signal exists. The answer is sometimes a tuned model worth pursuing. At other times a straightforward rules engine delivers almost the same value at a fraction of the cost, and we will say so.
02 / Deliverables
What you receive 7 items
- 01A review of data volume, quality, labels and class balance
- 02A scored baseline, fitted to your own data
- 03A direct comparison against a simple rules-driven alternative
- 04An analysis of features revealing where predictive signal sits
- 05Ranges of cost and effort for moving into production
- 06Our recommendation in writing, which could be to stop here
- 07Reproducible notebook and code that you own outright
03 / Fit
Who it suits, and what we need from you
Ideal for
- Teams under pressure to use AI with no clear use case
- Organisations facing a specific prediction question with unproven data
- Boards seeking a business case before approving a data scientist hire
What we need from you
- A data extract, with confidential fields masked where required
- A clear description of the decision the model should improve
- Access to the person who knows how the data is collected
You share these through the technical brief in your dashboard after checkout.
04 / Outcomes
What changes for your team
- 01
A go or no-go decision grounded in baseline measurement
- 02
Data quality problems come to light before they can derail development
- 03
Occasionally a simpler path that requires no model whatsoever
This is a remote engineering service, so nothing is shipped physically. Work is delivered into systems you control. Read delivery & handover and refunds & cancellation for the full terms.
Reviews
There are no reviews yet.