Happy New Year! Welcome to our first episode of the year.

As we kick off a new year, is the future of AI about who trains the biggest models, or who can run them most efficiently?

Let's take a look at Together AI, a company focused on making open-source models fast, affordable, and usable at scale. By pairing open models with deep systems optimization and flexible deployment, Together AI is arguing that the next phase of AI competition is really about infrastructure.

As 2025 comes to a close, we’re ending the year with a slight shift. We’ve spent most of the year focused on AI applications and infrastructure - today, we’re looking at how AI is starting to change security.

This episode looks at how AI-driven automation is reshaping security operations, helping teams move faster with less manual work, and what that could mean as we head into 2026.

What would it take to challenge NVIDIA’s dominance in AI compute? Today, we’re looking at TensorWave, a startup betting big on an all-AMD cloud, a one-gigawatt infrastructure deal, and a fast, debt-fueled expansion. We’ll break down how this model could reshape competition in AI computing, and the risks that come with it.

Nscale is a fast-growing infrastructure company focused on large-scale AI data centers. Fresh off a $433 million Series B that valued the company at $1.1 billion, nscale has announced a massive $14 billion data center deal with Microsoft. We’ll break down what nscale is building, why this partnership matters, and what it says about where AI infrastructure is headed.

Today, we’re looking at Retell AI, a company building ultra-realistic voice agents that are already replacing real call-center workflows. Retell has grown from $8 million to $36 million in ARR in just eight months, all with a team of only 21 full-time employees. We’ll unpack what makes their tech so compelling, how businesses are using it today, and why voice automation is becoming one of the most competitive corners of AI.

What if one of the most interesting challenges to today’s AI giants isn’t coming from Silicon Valley, but from a young team in Paris? Today, we’re looking at Mistral, the fast-rising European startup taking an open-weight approach to the generative-AI race. With the recent release of their Mistral 3 model family, they’re positioning themselves as a cost-efficient, highly customizable alternative through Mixture-of-Experts models that deliver strong performance at lower operational cost. Backed by major partnerships and a multibillion-dollar valuation, Mistral is betting that efficiency and openness can carve out meaningful foothold in the enterprise AI market.

What if the best way to power AI isn’t expanding the grid, but moving compute to where energy is cheapest? Today, we’re looking at Crusoe - the company turning wasted and stranded energy into an edge for high-performance computing. With a fresh $1.375 billion Series-E round and a valuation topping $10 billion, they’re quickly becoming a key player in the infrastructure behind the AI boom. 

Today, we’re looking at Nuro and its major strategic shift in the autonomous vehicle space. Once known for its cute delivery robots, the company has now pivoted toward licensing its full AV stack to automakers and mobility partners. It has recently raised Series-E at $6 billion valuation.

What if the real bottleneck in AI isn’t the model, but the data itself? In this episode, we’re talking about Snorkel AI, a Stanford spinout helping enterprises turn expert knowledge into high-quality training and evaluation data, far faster than manual methods. The company recently raised $100 million in Series D funding at a $1.3 billion valuation. We’ll explore how Snorkel’s approach works, its shift toward AI evaluation, and what that means for the next wave of enterprise AI.

Today, we’re turning to the networking side of AI - the part that keeps all those GPUs talking to each other. Nexthop AI recently came out of stealth with $110 million in funding at a $500 million valuation. The company rethinking how massive AI clusters are connected - not just building faster switches, but co-developing custom network hardware and software with hyperscalers. We’ll look at how Nexthop’s approach could reshape the AI infrastructure stack and why investors are betting big on it.