

Enterprise AI Platforms
35 snips Aug 13, 2025
Shay Levi, Co-founder and CEO of Unframe, and Larissa Schneider, Co-founder and COO of Unframe, delve into the intricacies of building enterprise-grade AI platforms. They discuss the meaning and advantages of these platforms, emphasizing the need for strategic partnerships to overcome development challenges. Shay shares insights on API security, while Larissa identifies inefficiencies in AI development. The duo also introduces a managed AI delivery platform that simplifies AI adoption, making it more accessible and secure for organizations.
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Founders' Security And API Roots
- Shay Levi described his background building No Name Security and its acquisition by Akamai.
- He used that security and API experience as a foundation for building Unframe.
Stop Reinventing Non-Core Systems
- Enterprises often try to reinvent non-core systems with internal AI teams and waste resources.
- Outsourcing AI delivery can let firms focus on their core business and gain competitive advantage.
Choose Delivery-Focused Platforms
- Use a delivery-focused AI platform when you want turnkey, production-ready solutions without heavy internal development.
- Let the platform assemble reusable building blocks so your teams avoid rebuilding common capabilities.