Built by people who have lived the cost of untrusted data.
EdQuantify exists because this team has seen — inside real enterprise environments — what happens when leaders decide on data they can’t trust. We’re building the system of truth we always wished we had.
Built & shipped
A founder who designed and wrote the platform, AI foundation, and data infrastructure herself.
Run at enterprise scale
A four-time CIO who has scaled organizations from tens of millions to over a billion in revenue.
Proven in the boardroom
Analytics leadership obsessed with metrics that survive executive scrutiny.
Governed by design
Security, fairness, and compliance built into the foundation — not bolted on later.
Every seat de-risks a hard enterprise problem.
Not a résumé wall — a deliberate mix of the capabilities trusted data and enterprise AI actually require. Tap any card for the full story.
The science that proves what worked.
Our data science team — named for the ROC curve, because everything here is measured. They own the models, attribution, and measurement methodology that turn disconnected systems into one number a board can act on.
Strengthens the research foundation behind governed AI — fairness-aware modeling, LLMs, and model evaluation — so the intelligence layer stays reliable, explainable, and responsible. PhD researcher in computer science.
I started EdQuantify because I kept watching capable leaders make consequential decisions on data they couldn’t trust. We’re building the foundation enterprises need before AI can deliver real outcomes — and we’d love to talk about whether it fits your problem.
