Questions
From “what did we sell yesterday by channel” to “why did margin drop half a point?” with root-cause drill down.
Yaya connects all your company information into one trusted source. On top of that foundation, your team builds live analysis, alerts, and AI-powered automated processes.
Broken trust
Reports don’t match
Same metric, three different calculations.
Slow analysis
The “why” is manual
You spot it, export to Excel, and dig.
Team saturated
Everyone asks for cuts
Data becomes the bottleneck.
Late reaction
You hear about it later
Anomalies surface only if someone looks.
And on top of this, teams want to deploy AI.
Under Yaya there is a semantic layer: the Mold. Each metric is defined once, with your formulas.
You ask, the Mold compiles deterministic SQL. The model understands and writes. Your definition produces the number.
That’s why chat, dashboard, and export always match. Down to the cent.
Yaya locks it. No one improvises later.
You can always inspect what ran.
An honest “I don’t know” beats a made-up number.
Most companies already have the data. What they lack is a way to access it, trust it, and act on it—fast.
Teams work in silos. Decisions arrive late. Reports don’t match. Meanwhile, the business keeps moving.
That isn’t a people problem. It’s an infrastructure problem.
Our take is that the relationship between a company and its data must be fluid, reliable, and intelligent—so anyone can ask the business a question, get a clear answer in seconds, and trust a single source of truth.
Not another dashboard. A new way to run operations.
Questions
From “what did we sell yesterday by channel” to “why did margin drop half a point?” with root-cause drill down.
Live analysis
Dashboards generated from one sentence and kept live. AI executive summary of what changed today.
Operational alerts
Branch margin drops by X -> email to procurement. Warranties jump two points -> alert to the team.
Automated processes
Reports someone builds manually today, running automatically in Excel, to whoever you choose.
Each team finds its own use case. We provide the foundation so it actually works.
Founder & CEO
Economist, Fordham University; entrepreneurship, and applied AI for operations. He founded AI Nomics to build the data infrastructure companies need for the AI wave—and help Latin America compete harder on technology.
Read-only. Replica access, never live production writes.
Client-dedicated database. Your information is never mixed with anyone else.
Your own API key. You control cost and privacy.
Spend caps. Monthly limits. No surprises.
No black box. You can see what came in and which SQL ran.
Bring one question that currently costs you half a day. We answer it in the demo. The next one is with your data.