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Madhu Konety

Madhu Konety

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Founder & CEO @ IceCreamLabs AI Venture Builder | Founder @ Icecream Labs | Cofounder & Product Leader | Stanford GSB
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Education

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Stanford University Graduate School of Business

Master's degree, Business -
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Virginia Tech

Master of Science - MS, Computer Science -
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B. M. S. College of Engineering

BE, -

Work Experience

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IceCreamLabs

Current

IceCreamLabs

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Modo.ai

Current

Modo.ai

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Commerceflow.ai

Current

Commerceflow.ai

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Be Capital

2013-01-01 - 2018-01-01

Be Capital

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Deccan Emerging Ventures

2009-01-01 - 2012-01-01

Deccan Emerging Ventures

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Catalyst Capital

2007-01-01 - 2008-01-01

Catalyst Capital

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Network General

2006-01-01 - 2008-01-01

Network General

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Remedy / BMC Software

2003-01-01 - 2005-01-01

Remedy / BMC Software

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Musambi / Apptuate

2000-01-01 - 2003-01-01

Musambi / Apptuate

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DARPA Quorum Program

1999-01-01 - 2000-01-01

DARPA Quorum Program

Skills

Go to market Customer Engagement Early-Stage Startups Software Development Research and Development (R&D) Product Strategy Pricing Strategy Due Diligence Investment Strategies Corporate Governance Portfolio Management Deal Structuring Startups ecommerce Computer Vision Generative AI E-commerce Optimization Operations Management E-Commerce AI Agents

Summary

I’m a founder and product leader with a 15+ year track record of building at the intersection of AI, enterprise operations, and capital strategy. As the founder of Icecream Labs, I led the development of AI systems that drove commercial impact for Fortune 500s like Walmart, Siemens, Nestlé, and P&G…— driving revenue growth and margin expansion across content, merchandising, and automation. Today, Icecream Labs operates as a venture studio, building vertical AI companies that apply agent-based workflows and GenAI to industry-specific problems. Recent ventures include: • Commerceflow – AI merchandising automation for mid-market e-commerce brands (10–15% online revenue uplift in early pilots) • Modo.ai – Agent-based platform for automating research, advisory, and investor workflows Earlier in my career, I advised global family offices (AUM $500M–$1B) on venture, AI strategy, and portfolio value creation. I also held leadership roles in product turnarounds and exited an early startup pre-Stanford GSB. I bring a cross-disciplinary lens — from deep AI and GTM execution to investor strategy and venture design. I actively advise operators, PE/VC-backed founders, and corporate leaders on: • Revenue-focused AI pilots and workflows • Vertical AI GTM strategy and fundraising • AI architecture, team formation, and venture incubation Let’s connect if you’re building something new in applied AI — or turning ambition into traction.

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