Case Study: Aible
AutoML Platform → GA in 90 Days (Gartner Cool Vendor)
$100M+ Valuation • 6 Patents
First Product Sold at Gartner Booth
Enterprise AI | AutoML | No-Code Platform | Business Intelligence
Built and shipped a business-impact-driven AutoML platform from concept to GA in 90 days, competing directly with IBM Watson, Microsoft, SAP, and DataRobot.
The enterprise AI market was dominated by large vendors optimizing for
accuracy, precision, and recall —
metrics business users couldn’t act on.
Aible had:
6 employees
no brand
90 days to launch at Gartner
I joined as employee #6 with full ownership of the AI product experience.
The Challenge
The Pivot
What the Market Was Building
AI platforms optimized for model accuracy and data science workflows.
What Business Customers Actually Needed
Business users didn’t want better models — they wanted better decisions.
We reframed the product around one question:
What is the dollar impact of this prediction?
This drove:
product workflows
interface design
decision outputs
We replaced accuracy metrics with business impact.
Build → Validate → Launch
Owned product 0→1 and drove rapid iteration with real customer scenarios.
Shipped concept to GA in 90 days
Built through continuous validation, not post-launch correction
At the Gartner Summit, something unusual happened:
Prospects didn’t just engage — they bought directly from the booth.
First product in Gartner Summit history to sell on the floor.
Validated Impact
90 Days
Concept → GA
$100M+
Valuation increase
6
Patents filed
1st Ever
Product sold from Gartner booth
Technical & Product Differentiation
Designed a system translating model outputs into business outcomes:
converted statistical predictions into financial impact
aligned model performance with real-world constraints
enabled decision-making without data science expertise
This approach generated 6 patents within 90 days.
What Leaders Say
"Greg can transform a simple idea into a state-of-the-art experience. Greg's laser focus on users and letting them decide good from bad differentiates him... His in-depth understanding of technology stacks positions him into the most needed leadership space between designers and developers."
— Tejaswi Redkar
CEO & Founder (former Cisco, AppDynamics, Sumo)
"With just a few clicks, I found three million dollars in additional sales leads in two hours. This is not yet another AI toy. This is a real way to deliver impact."
— Charlie Merrow, CEO, Merrow Manufacturing
"Unique among AutoML vendors, Aible gets that a model that maximizes accuracy almost never maximizes business impact."
— Kjell Carlsson, Ph.D. and Mike Gualtieri, Forrester
"Aible's unique value proposition is AutoML focused on business impact, rather than on 'neutral' data science indicators like accuracy and recall."
— Gartner Magic Quadrant for Cloud AI Developer Services
"Greg consistently pushes boundaries—not just in design, but in validating AI product-market fit directly with customers to ensure every feature solved a real-world problem. I'd work with him again in a heartbeat."
— Catherine Davis
VP Product Management, Addigy (former Sumo)
The Bottom Line
What I Replaced:
Traditional Enterprise AI
Optimized for accuracy, not outcomes
Built for data scientists, not decision-makers
Customer validation after launch
Slow, R&D-heavy delivery cycles
What I Delivered:
Production AI System
Validated in Week 1 with real scenarios
Built and shipped in 90 days
Optimized for ROI, not accuracy
Proven demand — sold live at Gartner