Operations leads
You already know the pattern. You want the system to see it faster than a tired person on a Monday.
Predictions that ship
A model is only useful if it changes a Tuesday. We put forecasts and matches into the screens people already use, so a dispatcher or recruiter gets a better first answer.
Prediction work that shipped in Healify and AICO.
The person still decides
Not a notebook nobody opens
Enough explanation to trust the suggestion
The offer
Using your history to suggest what happens next: who to send, when demand spikes, which record looks odd, then putting that suggestion where the work already happens.
If you need the model to stay healthy after launch, see MLOps and AI infrastructure.
Who it is for
If you own the budget, the product, or the operation, this page should help you decide.
You already know the pattern. You want the system to see it faster than a tired person on a Monday.
Buyers asked for “AI.” You need a prediction that changes a metric, not a lab.
You want the model in production, with a way to retrain when the world changes.
What you get
The work buyers look for, described as outcomes.
Services
Pick a starting point. We will confirm it on a call.
A short working session so you know what to fund first.
Data-driven decision making
Improved accuracy and efficiency
Challenges
If this sounds like your week, we should talk.
Time
We design machine learning solutions so this shows up in the business, not only in a demo.
Risk
We design machine learning solutions so this shows up in the business, not only in a demo.
Scale
We design machine learning solutions so this shows up in the business, not only in a demo.
Trust
We design machine learning solutions so this shows up in the business, not only in a demo.
Why Solvefy
Named products in production, a call that ends with a next step, and AI when it helps the live system.
Proof
Results from live products.
Peak booking times forecasted so patients were matched faster
Read full case study
Dispatch suggestions that cut bottlenecks, with a person still in charge
Read full case studyHow we work
A sequence you can follow without a glossary.
Step 1
We confirm this step with you before we move on.
Step 2
We confirm this step with you before we move on.
Step 3
We confirm this step with you before we move on.
Step 4
We confirm this step with you before we move on.
Step 5
We confirm this step with you before we move on.
Guides
Useful if you are sharing this page with a colleague.
Cut busywork in staffing, HR, and dispatch.
Copilots, agents, and help inside a live product.
Keep models healthy after they ship.
Questions teams ask before they hire for Machine Learning Solutions.
No. We start with the records you already keep and one decision that, if it were better, would save time or money.
No. It suggests. A person still owns the important action, especially when a customer or a shift is at stake.
Most is. We say so on the call, and we pick a first job that the data can actually support.
Tell us what is stuck. We will map the next step on a call.