Grover Righter

AI/ML Scientist & Mathematician + Data Privacy GDPR Znu-Cloud OÜ

Tallin

Co-founder & CTO, Znu-Cloud OÜ — EU-sovereign data, CRM and lead intelligence for European SMBs

Media

Social

Biography

Mathematician and data scientist focused on applied AI/ML for complex business data — particularly the kinds of data problems that arise when CRM, ERP, marketing automation, and supply chain systems try to talk to each other and don't.
Currently: Co-Founder and CTO of Znu-Cloud OÜ (Tallinn, Estonia) — building the EU-sovereign AI portal for SME strategy and growth. CRM data, lead intelligence, and AI-driven go-to-market tooling for European small and mid-sized businesses, with 16 million European companies in our reference dataset. GDPR-native, pan-European, 100% hosted in the EU.
Principal of Plan9 AI Consulting — Revenue Operations, Marketing Operations, and platform data engineering for B2B SaaS clients in the US and Europe. Active engagements include lead-scoring model deployment, CRM lifecycle architecture, and HTML/email automation pipelines. 17 years consulting, 200+ tech companies served.
Platform expertise: Salesforce, HubSpot, NetSuite, SAP, Eloqua, Marketo, Pardot. Native API development across the major CRM and marketing automation platforms. AI/ML integration with Claude, Mistral, and EU-friendly model providers. Cloud infrastructure on Hetzner, Azure, and Databricks.
Engineering background: UNIX since the late 1970s. One of the original 16 IEEE 1003 (POSIX) committee members. Co-author of Portable C (Rabbit Software, 1980s). Worked with the early UNIX toolchain — yacc/bison, lex, awk, sed, the original C compilers. Bell Labs connections through Dr. Evan Ivie (PWB/NORAD) and Dr. William Hayes. Direct working relationships through the careers of Steve Jobs (NeXT), Bill Gates, and Dr. Robert Metcalfe.
Former VP Engineering, 600+ engineers. Previous exit: RMS Inc., 1985.
Currently traveling Europe; or New York City, USA.

Industry Expertise

Computer Software

Telecommunications

Wireless

Internet

Business Services

Areas of Expertise

EU Soveriegn Data

GDPR & EU Data Privacy

Sales and Business Development

Big Data

Data Scientist

Accomplishments

Co-Founder & CTO Znu-Cloud OÜ

2026-06-30

AI for Growing European Businesses
Most AI tools chase Silicon Valley unicorns. We build AI and CRM tools for European businesses with the ambition to grow.

Education

INSEAD

Executive Courses in Business

Business

1988

Brigham Young University

BS, CS/EE

Minor in Classica Studies

1982

Activities and Societies: Sigma Pi SIgma – National Honor Society for Math and Physics Majors

Event Appearances

Web 2.0

Communitech Tech Leadership Conference Kitchener, Ontario

Next Generation of Mobile Content

Mobile Broadband & Content Conference at CES Las Vegas, Nevada

Next Generation P2P Music and Film - DRM, Paid for Pass-Along and Other Legal Distributed Computing Models and the Entertainment Industries

Digital Hollywood at CES Las Vegas, Nevada

2009-01-10

Sample Talks

Data-Science Driven Marketing

How B2B Marketing can finally approach the level of science and measurement possible in B2C marketing, using real-world examples from Salesforce Eloqua Marketo Act-On and HubSpot

Style

Availability

Keynote
Moderator
Panelist
Workshop Leader
Host/MC
Corporate Training

Research Focus

Business Metrics Math Modeling

ZnuLabs

2026-07-31

The opening reference in the first paper is not to a theorem. It is to the first day of a statistics class.

Everyone who has sat through one remembers the shape of it, even if they remember nothing else. On day one they tell you that there is a quantity in the world — the true thing, the parameter — and that you will never observe it. What you get instead is a statistic, computed from a sample, which is an estimate of the thing with an error attached. The whole discipline is built on that gap. It is the first sentence of the subject and it is a confession.

There is a long and generally unproductive war between those of us who model with mathematics and those who work in statistics. I have been on one side of it for most of my life. But the statisticians say the honest thing on day one, out loud, before anyone has bought a textbook: the number is not the thing.

Business measurement forgot this entirely. Somewhere between the ledger and the dashboard, the estimate stopped being an estimate and became the fact. A figure in a cell, rendered in a sans-serif font, with no error bar and no provenance and no statement of what population it was drawn from or over what window. And then people made decisions on it, and when the decisions went badly they blamed the decision rather than the number.

So the project began there. Not with an answer. With the observation that we had all skipped day one.