Enterprise AI, agents, and LLMs
01Move AI from pilots to production. Agents, language models, and generative AI put to real work inside the business, with the reliability and guardrails an enterprise needs.
Where does AI earn its keep, safely?
Enterprise AI · Data Science · Forecasting
AI and data science that tell you what to do next.
Starward AI helps enterprises put AI to work and turn data into decisions teams can act on. From agents and language models in production to forecasts you can trust.
Currently open across niches.
The problem
Every business runs on questions that are hard to answer and expensive to get wrong.
What will demand do next quarter? Which customers are about to leave? When will this asset fail, and where is the risk hiding? The questions change by industry. The cost of guessing does not.
Everyone is racing to add AI. But AI is only as good as the data underneath it, and that foundation is the part most often missing. Get the data right and the hard questions become answerable.
We use data to answer them, then tell you what to do about it. And we train your team to use AI for their own data science.
What we do
Four ways we put AI and data science to work.
Framed around the decision, not the technique.
Data science and custom ML
02Bespoke models for the problems that do not fit off-the-shelf tools. We find what is worth solving, then ship models that hold up in production. Open across industries.
Where will data science actually move the numbers?
Forecasting and decision systems
03Our specialty. We forecast the variables that are hard to predict, then wrap them in decision logic and confidence intervals so teams know how much to trust the call.
What do we do next, and how confident can we be?
AI strategy, advisory, and training
04Roadmaps that separate the AI worth doing from the noise. Plus training that helps your team use AI for their own data science, so the capability stays in house.
What should we do with AI, and who runs it after?
Selected work
Consulting work, across niches.
A sample of the AI and data science projects we've delivered, and the problems they solved.
Microclimate weather forecasting
ForecastingMicroclimate and weather forecasting delivered across multiple niches, giving teams certainty wherever the weather drives the decision.
Logistics & supply chain
ForecastingDecision support across many moving parts, so plans hold up when conditions change.
Insurance
Fraud & riskCatching fraud and quantifying risk earlier, with fewer false alarms.
Credit & lending
Data scienceCredit scoring, lending decisions, and portfolio performance, grounded in the data.
Agtech
Weather & yieldWeather and yield forecasting that gives growers and agribusinesses clearer visibility for the decisions that matter.
Education
AI trainingAI training and enablement for medium enterprises, so teams use AI with confidence.
SMB
Agentic AIAgentic AI systems that take real, repetitive work off small teams.
Why Starward
AI and data science that earn their keep.
Most providers stop at a proof of concept or a nice chart. We help enterprises get a real return: work that ships, holds up in production, and pays back. You deal directly with the person doing it.
- 15+ years of applied data science across agriculture, aviation, logistics, fraud detection, and financial risk.
- Builds production AI: agents, automation, and language-model systems that run in the business, not just in a demo.
- Built and led corporate data science teams before moving to independent consulting.
- Patented microclimate weather prediction system, since acquired.
- Focused on return. We back the AI and data science that pays its way, not science projects.
- Senior, hands-on delivery. You work directly with the person doing the work.
Talk through the problem.
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.