Founder Profile Cris Ippolite
Applied ML Since 2007

Beat ESPN, NFL.com, and CBS Sports
with the first ML model he built.

Eighteen years later, that same ML methodology ships inside 3M, Apple, and the Fortune 500.

NFL.com Columnist  ·  FantasyPros Top 5  ·  3M Strategist  ·  Apple AI Strategist
Addicted to sports.
Currently taking conversations with NBA, MLB, NHL, and NFL front offices on applying verified-in-production ML methodology to tracking data, player evaluation, and in-game decision support. Start the conversation →
Trusted by industry leaders
3M Apple NFL.com NFL Network SiriusXM Oakland A’s USC Football GE Healthcare Stanford M.I.T. NIH LinkedIn Rockwell Automation Kohl’s Whirlpool

A sports analytics pioneer who happens to ship enterprise AI.

In 2007, Cris Ippolite built FantasyoMatic — a ridge regression machine learning model ingesting hundreds of data points per player per week across the entire NFL. That was the year the first model shipped. Back when "data science" wasn't a job title yet and the people building these systems were called programmers, not data scientists.

By 2012, FantasyoMatic ranked 12th most accurate fantasy expert on FantasyPros — beating ESPN, NFL.com, and CBS Sports analysts in head-to-head competition. A machine learning model outperforming human experts. In 2012. In 2013, Cris co-authored a peer-reviewed paper with Dr. Michael Schuckers at St. Lawrence University formalizing the methodology. In 2014, NFL.com hired a writer named Chris Anthony to author their weekly Number Crunch analytics column on NFL.com/Fantasy. Chris Anthony was Cris Ippolite. Same person. Same algorithm. Two names — one building the ML models, the other writing for over 1.5 million unique NFL.com/Fantasy readers every week.

The sixteen years between 2007 and 2023 were not spent waiting for AI to arrive. They were continuous ML refinement in production — under public scrutiny, with third-party accuracy verification from FantasyPros every single season. The model was never theoretical. It had to predict next Sunday's games and be wrong out loud if it failed.

When generative AI went mainstream in 2023, Cris had 16 years of receipts. He created the first-ever Fantasy Sports ChatGPT Plugin in October 2023, presented at the Midwest Sports Analytics Meeting on integrating proprietary ML models with GPT-4, and published the FantasyoMatic GPT on the OpenAI GPT Store.

Then 3M hired Cris to deliver generative AI training to their global marketing teams. That engagement expanded into a contract building machine learning algorithms for 3M's business intelligence group. The same instincts that made FantasyoMatic outperform ESPN now ship production AI inside a Fortune 500.

Most analytics hires understand the math but cannot explain it to a head coach. Most AI consultants can build a model but have never had it tested against ESPN every Sunday for a decade. Eighteen years of NFL.com columns, sixteen years of LinkedIn Learning courses, fifty-plus keynotes, and thirty-one episodes of ClarisTalk AI exist for one reason: making complex models land with people who don't care about the math, only the outcome.

Where Sports, AI, and Production Meet

The same algorithms that ranked Top 5 on FantasyPros now ship inside Fortune 500 engagements. One methodology, four arenas where it has been verified under pressure.

Sports Analytics & ML

Eighteen years of predictive modeling applied to NFL data, verified against ESPN, NFL.com, and CBS Sports. The same ridge regression and feature engineering methodology applies to any sport with structured play-by-play data — NBA tracking, MLB pitch-by-pitch, NHL shot location. Every sport has a measurable outcome and a finite decision tree. The methodology is sport-agnostic.

NFL.com · FantasyPros · Oakland A’s · USC Football

Enterprise AI Strategy

Generative AI training and ML algorithm development for global enterprises. Boardroom-ready strategy backed by two decades of production deployment, not three months of LinkedIn certifications.

3M · iSolutionsAI

Training & Education

Fifty-plus keynotes. Sixteen years as the exclusive platform author on LinkedIn Learning. Thirty-one-plus episodes of the ClarisTalk AI podcast. The work of explaining models to people who do not write code is its own discipline — and it is most of the job.

LinkedIn Learning · ClarisTalk AI · 50+ Conferences

AI Product Development

From the first-ever Fantasy Sports ChatGPT Plugin to the iNtuition AI platform. The full arc from algorithm to product, validated by paying enterprise customers.

iNtuition · isolutionsai.com
The Platform

A custom decision-intelligence platform, built per team.

Away from static dashboards. Toward a platform that remembers context, adapts to every user, and becomes more useful the longer it's used.

This is not a dashboard product. It is an adaptive sports intelligence platform, reshaped around the specific people inside your organization who will use it. Rather than shipping the same views to every coach, scout, and front-office analyst, the platform captures each user's role, decisions, and reasoning patterns through structured discovery and ongoing conversation — then uses that living persona to personalize what they see, which models load first, how answers are framed, and what questions the AI proactively surfaces.

Under the hood, a custom fleet of models is built specifically for your organization — not a fixed product catalog, but models shaped around your sport, your data, and the decisions your staff actually makes. An ensemble model controller orchestrates them in real time, and the platform’s own agentic coding agents can build new models on the fly as organizational needs evolve. No two deployments look the same. Every deployment grows.

This is where sports technology is heading: away from static dashboards and toward platforms that think in decisions, remember context, and become more useful to each user the longer they are used.

01
Adaptive Per User
Captures role, decisions, and reasoning patterns. Personalizes the interface and the AI voice to match how each coach, scout, or exec thinks.
02
Custom Models, Ensemble Controller
A custom model fleet built per engagement, orchestrated by an ensemble controller. Agentic coding agents build new models as your organization’s needs grow.
03
Built Per Team
Not a SaaS subscription. A bespoke engagement configured to your data, your workflow, and your organization's decision culture.
04
Gets Smarter With Use
Persistent memory and structured discovery mean the platform learns each user over time, becoming more valuable the longer the engagement runs.
Built to compound with the frontier, not race against it

When the models get smarter, the platform gets smarter.

Every founder building an AI tool right now is asking the same question: what happens when the next version of Claude makes my product a feature?

They are right to worry. If you sell the tool, you are in a race against the model. But if you sell the work — the synthesis, the evidence, the organizational judgement — every improvement from Claude or GPT or Gemini makes the platform faster, cheaper, and harder to compete with.

This platform does not sell a chatbot. It sells the orchestration and the ability to build, on the fly, models driven from real stakeholder problems — wired through a synthesis layer that produces composite metrics, contradiction signals, and cross-domain insight no single machine learning model can generate alone.

Knowing that Giannis’s ACWR, his knee load percentile, and his training volume need to talk to each other before Tuesday’s game — that is judgement. Writing the code to make them talk is mostly intelligence. When the frontier models get smarter, the platform inherits that intelligence. The judgement stays with the organization.

The evidence framework, the synergy pairs, the domain-specific blueprints — none of that ships with the next frontier release.

The platform scales with the organization, not against it.

Proof Over Claims

Enterprise engagements, production ML systems, and high-profile client work spanning nearly three decades.

Enterprise AI

3M: From Sports ML to Fortune 500 AI

Hired to deliver generative AI training to 3M's global marketing teams. The engagement expanded into building machine learning algorithms for their business intelligence group. The same instincts honed against NFL data over 18 years now operate at Fortune 500 scale.

Global
Team Scope
2-Phase
Engagement
Sports ML

FantasyoMatic: The Algorithm That Beat the Experts

A machine learning model ingesting hundreds of data points per player per week since 2007. Ranked 12th most accurate on FantasyPros in 2012 — outperforming every analyst at ESPN, NFL.com, and CBS Sports. Top 5 accuracy in 2019, 2020, and 2022. The same methodology that proved itself against the league's biggest media brands now ships inside enterprise engagements.

46%
More Accurate
Top 5
FantasyPros
Sports

Oakland A’s · Pro Sports ML Engagement

Built a custom application for the Oakland Athletics’ first base coach. An in-clubhouse tool, used during live gameplay, through the realities of a 162-game season. The engagement that proves the methodology survives contact with a professional sports organization — not a slide deck, not a pitch, a working build delivered into a Major League clubhouse.

MLB
Coaching Staff
1B
Coach Tool
Product

iNtuition: AI Product Platform

The productized methodology. Eighteen years of sports ML and enterprise AI experience packaged into a platform that ships. Built on the same foundational work that powered FantasyoMatic and the 3M engagement.

SaaS
Platform
AI-First
Architecture

Sports Analytics

as Cris Anthony

The proving ground where machine learning was tested under public scrutiny for nearly two decades. FantasyoMatic is not a side project. It is where the algorithms were forged.

Cris Ippolite (as Chris Anthony) · NFL Network
The FantasyoMatic Team · On the Model
2012
#12
Beat ESPN, NFL.com, CBS
2019
Top 10
Consistent elite tier
2020
Top 5
Peak accuracy season
2022
Ranked
Recognized again

28 Years of Building

From FileMaker to machine learning to generative AI. Continuous evolution, not reinvention.

1998
iSolutions Inc. Founded
Began a career building custom software solutions for enterprise clients.
2007
FantasyoMatic Launches
One of the earliest machine learning applications in fantasy sports. Built on FileMaker.
2010
LinkedIn Learning / Lynda.com
Became the exclusive FileMaker author. 16 years of platform-defining instructional content.
2012
SiriusXM Radio Host
Host and writer for Playboy Fantasy Football Radio on SiriusXM.
2012
FantasyPros: #12 Most Accurate
First verified accuracy ranking. Outperformed ESPN, NFL.com, and CBS Sports analysts.
2013
Academic ML Paper Published
Co-authored with Dr. Michael Schuckers. Applied machine learning to sports prediction a decade before ChatGPT.
2014
NFL.com "Number Crunch" Column
Weekly analytics column on NFL.com/Fantasy as Chris Anthony. Authored through 2015.
2015
Oakland A’s App Build
Custom application built for the Athletics’ first base coach.
2020
FantasyPros: Top 5 Accuracy
Peak accuracy season. Algorithm refined over 13 years of continuous ML development.
2021
Claris Lifetime Achievement Award
Inaugural recipient. 5 Excellence Awards total. More DEVCON/ENGAGE sessions than anyone in history.
2023
First Fantasy Sports ChatGPT Plugin
Created the first-ever fantasy sports plugin for ChatGPT. Presented ML+GPT-4 integration at the Midwest Sports Analytics Meeting.
2024
3M Enterprise AI Engagement
Generative AI training for global marketing teams. Expanded to ML algorithm development for business intelligence.
2024 — Current
Apple Engagement
Currently engaged with Apple. Active 2024 onward.
2025
OpenAI Trillion Token Club
Recognized by OpenAI at DevDay 2025 in the 1 Trillion+ Tokens tier — listed alongside Salesforce, Shopify, Canva, HubSpot and 25 other companies. Verify →

The Builder's Resume

28 years of depth. The FileMaker legacy is not the headline, but it is the substrate that makes everything else credible.

Awards & Recognition

OpenAI Trillion Token Club

Honored by OpenAI at DevDay 2025 for passing 1 Trillion Tokens processed through the OpenAI API — iSolutionsAI is named alongside Salesforce, Shopify, Canva, HubSpot and 25 other companies in the 1 Trillion+ tier. Verify on HackerNoon →

Lifetime Achievement Award

Inaugural recipient, Claris Excellence Awards 2021

5 Claris Excellence Awards

Including the Lifetime Achievement, the most decorated in the platform's history

Claris Customer Story Feature

Read the customer story →

University Instructor

31+ episodes of ClarisTalk AI podcast covering applied ML and enterprise strategy

By the Numbers

50+
Conference sessions. More DEVCON/ENGAGE sessions than anyone in history.
16
Years as the exclusive FileMaker author on LinkedIn Learning / Lynda.com.
14+
Medium articles including the 3M enterprise AI case study and the FantasyoMatic origin story.
31+
Episodes of ClarisTalk AI podcast covering applied artificial intelligence.

Let's build something intelligent.

Enterprise AI training, ML strategy consulting, sports analytics partnerships, speaking engagements, or product development. Eighteen years of machine learning in production — let's talk about your problem.

cris@isolutionsai.com