About
Fifteen years of data science, pointed at enterprise returns.
Starward AI is led by Nicolene Abrie. The work pairs modern AI with more than fifteen years of applied data science, helping enterprises turn data into decisions that pay back.
Most data science gets stuck at the chart. A model produces a number, the number goes on a slide, and the operations team is left to translate it into a decision on their own. That last step is where the value is, and where it usually breaks.
Starward AI was built to close that gap. The thread through every role, from agriculture to logistics to financial risk, has been the same: get the data right, answer the question that matters, then make the call it points to.
In a market racing to add AI, the data underneath is the part most often missing, and it is where the return is won or lost. Get the foundation right and AI starts to pay back.
Today that means modern AI as much as classical data science. Agents, language models, and generative AI, built to run in production and earn their keep, sit alongside the forecasting and custom ML work. The technique follows the problem, not the trend.
The result is a consultancy that treats the decision, not the model, as the deliverable.
The track record.
15+ years
Applied data science across agriculture, aviation, logistics, fraud detection, and financial risk.
Team to independent
Built and led corporate data science teams before moving to independent consulting.
Focused on return
We back the AI and data science that pays its way, not science projects.
Microclimate
Patented microclimate weather prediction system, since acquired.
Production AI
Builds agents, automation, and language-model systems that run in the business, not just in a demo.
Senior delivery
You work directly with the person doing the work, start to finish.
Want to put this to work?
Bring the decision you want to make better, or the AI project that has stalled. We will tell you whether AI or data science can help, and what the return looks like.