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Building an AI Platform Company for Real-Time Applications: Vantiq CEO Marty Sprinzen (Part 6)

Posted on Saturday, Jul 19th

Sramana Mitra: Can you talk to me a bit about your go-to-market strategy? I understand the system integrator part is straightforward. You do partnerships with system integrators who build on top of your platform. When you’re choosing to work with startups or product companies who are building their products on your platform, how do you

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Building an AI Platform Company for Real-Time Applications: Vantiq CEO Marty Sprinzen (Part 5)

Posted on Friday, Jul 18th

Sramana Mitra: “Operating system” isn’t the right term. Here’s my two cents—during the cloud era, platform-as-a-service (PaaS) became a well-understood concept.

Building an AI Platform Company for Real-Time Applications: Vantiq CEO Marty Sprinzen (Part 4)

Posted on Thursday, Jul 17th

Sramana Mitra: My thesis is that the best approach to build truly serious, complex systems leveraging all the capabilities of AI—whether it’s generative AI, agent-based AI, or others—is to go to market as an IP-plus-services company. Pick domains to focus on and develop deep domain expertise. That, I believe, is one of the most effective

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Building an AI Platform Company for Real-Time Applications: Vantiq CEO Marty Sprinzen (Part 2)

Posted on Tuesday, Jul 15th

Sramana Mitra: Okay. But standard VC route at the time was different from the standard VC route of today because the number of, the amount of money that VCs used to invest was much smaller. The VC fund sizes were much smaller. It was actually the way venture capital should have been.

Building an AI Platform Company for Real-Time Applications: Vantiq CEO Marty Sprinzen (Part 1)

Posted on Monday, Jul 14th

The world is severely short of AI talent to build complex solutions. It is essential that platforms offer layers of abstraction on top of which systems can be built without getting deep into the weeds. Vantiq is innovating with such a platform and offering excellent business model options including revenue sharing, outcome-based pricing, etc. Very

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