Pablo Palafox

speaker

220 appearances 1 recordings 1 series first heard Jun 2026 last heard 1 Jun

Pablo Palafox’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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The a16z Show · Building AI Agents for Enterprise Operations · 1 Jun 2026 podcast

So when we were going to these conferences and people were like, no, we are going to build these things that talk on the phone, negotiating rates on shipments was actually a big one.

So we actually fine-tuned LLMs back then.

We fine-tuned LLMs.

Mistral and Lama to actually make those voice agents faster because otherwise using some GPT-4 at the time was like extremely slow and GPT-3.5 at the time was like terrible at reasoning and actually negotiating.

So we had to do a lot of tricks behind the scenes, build our own

agent infrastructure, if you will, but also build our own voice agent capabilities so that we could innovate faster than competition.

And that actually gave us a really good edge in logistics and transportation in the early beginnings.

So we started working with these freight brokers, then we expanded to these freight forwarders, then ocean carriers, then trucking companies.

And today we actually serve many of the largest companies in the space of supply chain.

We were discussing before, nine of the top 10 freight brokers in the US, seven of the top 10 trucking companies, like

some of the largest fleets that actually move our goods everywhere in the US, which is crazy.

Two of the largest ocean carriers, those big boats we see in the bay, that is the sort of customers that we needed to build for and where voice was the analog for many of the operations.

It's building for the real world.

The real world is messy.

Those things are going to happen where someone tries to

jailbreak the agent and get that max amount of money that they can get.

But we needed to build those guardrails very early on so that we could actually go to the likes of C.H.

Robinson or Uber Freight and all of these big players that would only trust us if we actually were building real technology.

That was pretty clear for us.

We knew that we didn't want to focus on the long tail of logistics and transportation because it's a very tricky space, but we knew we needed to serve the enterprise in transportation and supply chain and logistics.

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