Our
Story
A decade building AI systems that delivered real value for the world's largest enterprises. Now we're channeling that expertise into building the next wave of category-defining AI companies from day one.
Built on Real Experience
IceCream Labs was founded with a clear conviction: the best way to build AI companies is to deeply understand how AI actually creates value.
For more than a decade, we've been in the trenches building production AI systems for some of the world's largest companies — Walmart, Pepsi, Siemens, and many others. We've seen firsthand where AI transforms businesses, shipped systems that generate real revenue, and navigated the complexities of enterprise adoption.
Combined with years of experience in startup investing and advising institutional investors on alternate investments in venture capital, we bring a rare blend of builder and investor perspective. We know how to build companies, and we know what it takes to make them investable.
A Track Record
Building enterprise AI systems and infrastructure for Global 500 companies
Some exited successfully, some didn't — every one taught us what works and what doesn't
Active angel investor and 10 years advising family offices on startup, VC, and PE fund investments
Built and scaled ventures from concept to product-market fit — multiple times, across verticals
Meet Madhu Konety
Madhu Konety
Founder & CEO
Entrepreneur, angel investor, and AI practitioner. Madhu has spent over a decade building AI-powered products and companies — some that exited successfully, and some that didn't make it. Both shaped how IceCream Labs operates today.
Before launching the studio, Madhu spent 10 years advising family offices on alternate investments in startups, VC funds, and PE funds — developing a deep understanding of what makes ventures investable and scalable. That investor lens, combined with hands-on building experience, drives how the studio identifies and validates opportunities.
Education
Stanford Graduate School of Business · Virginia Tech (MS) · BMS College of Engineering, Bangalore University (BE)
Background
Multiple startups built and exited. Active angel investor. Former advisor to family offices on VC/PE alternate investments. Enterprise AI partnerships with Fortune 500.
Focus
Finding the intersection of AI capability and market need. Building companies, not just products. Partnering with exceptional founders to go from 0 to 1.
Why a Venture Studio?
The venture studio model unlocks advantages that traditional VC, accelerators, or corporate innovation simply can't match.
Speed & Execution
We don't just fund and advise — we build alongside you. Our core team executes on product, engineering, and go-to-market. Get to MVP in weeks, not quarters.
Opportunity Selection
We identify and validate opportunities ourselves, based on a decade of enterprise AI work. No cold pitches required. We find what matters and build it.
Deep Domain Expertise
AI isn't theoretical to us — we've built it, shipped it, and scaled it in production. That expertise compounds across every venture we launch.
Partnership, Not Portfolio
We partner with exceptional founders as true co-builders. We share risk, share upside, and are committed to long-term success — not spray-and-pray investing.
Enterprise AI Heritage
A decade of building production AI systems for the world's leading enterprises
Interested in what we're building?
Whether you're a founder, partner, or operator — we'd love to hear from you. Let's explore how we can build together.
Get In Touch