What we do
Companies pay frontier-model prices for work a cheaper model could do, and pay again when the same task takes four or five attempts. NeoAI learns from your accepted outputs, turns the shortest path into recipes, and gives every step the cheapest model and effort that meets your quality bar. Read how it works.
What we believe
- Know-how first, savings second. The main prize is getting your best practice onto every task. Lower AI spend follows.
- Prove it on your work. Claims are tested in a measured pilot on an evaluation set your team can audit.
- Label every number. Estimates, illustrations and simulations are marked as such. We do not present a simulated figure as a result.
- Safe to adopt. No new data, integration or financial risk: it runs in your cloud, you own the recipes, and pricing is gainshare.
Where we are today
NeoAI has no published customer results yet. What we have is a simulated replay, whose method and limits are published, a dated table of public list prices, and a free audit that sizes savings on your own data. The first pilots will produce the first measured results, and we will publish what they show.
Who is behind NeoAI
[Founder names, roles and backgrounds to be added.]
NeoAI is built by a team with a background in AI data and quality operations: measuring whether model output is good enough is the hard part of doing this safely.
Contact
Email contact@neoai.solutions, or request the free audit. Website: recipes.neoai.solutions.