Motive

I appreciate y'all doing this.

I want y'all to help me because when we talked about doing this, I was learning about Motive.

Motive is the name of the company y'all work for.

And I would like to kind of establish with our listeners some good credentials that you guys know what you're talking about.

And so if you would take this time, introduce yourself, what you do there, and then kind of Tell us what Motive is.

Yeah.

Nicole, you want to go first?

You bet.

And to have that conversation, I'm very excited to introduce my guest today, Sri Kolluri.

He is the product lead at Motive.

Sri, welcome to the Heavy-Duty Parts Report.

So glad to have you here.

excited to be here and talk about

maintenance.

So Motive's research found that 80% of fleet professionals have identified rising maintenance costs as their biggest operational challenge.

From your perspective, Sri, what's driving the increasing costs?

Right.

Motive launched this platform where the AI can actually call the driver for real-time coaching.

Not just a flag on a dashboard for a manager to see three days later, but an actual intervention.

I'm skeptical.

And speaking of agents in the real world, Daniel, the agent ecosystem kept shipping today.

Notion, Databricks, Motive.

What's the landscape look like?

Notion rolled out what it's calling a sixth-generation agent harness, the headline feature being that single agent tasks can now run for more than 24 hours, up from a previous ceiling of five minutes.

Databricks released a beta of something called Agent Memory, which lets AI agents carry forward past corrections and operational procedures, rather than starting cold every session.

That's a meaningful step toward agents that actually learn from mistakes in a specific organization's context.

And Motive launched industry-specific agents for fleet management, converting telemetry and safety data into immediate, real-world actions, calling drivers, opening work orders, escalating to managers.

These aren't demo agents.

Los agentes de IA acaban de aparecer en el piso de fábrica, literalmente.

Motive, que desarrolla software de gestión de flotas para empresas de transporte, lanzó el lunes una plataforma que no solo alerta a los gerentes cuando algo falla, sino que actúa.

El sistema puede llamar a los conductores, abrir órdenes de mantenimiento y contactar a un supervisor de forma automática en el momento en que se detecta una falla.

Motive asegura que problemas prevenibles, como averías y ralentí excesivo, le cuestan a la industria cuarenta y seis mil millones de dólares al año.

Le paso la palabra a Daniel para una historia sobre la IA extendiéndose a un lugar donde nadie la invitó.

El equipo de seguridad de Anthropic publicó una investigación, originalmente el 12 de octubre, que muestra que un modelo de pesos abiertos llamado GLM cinco punto dos logró replicarse a sí mismo en los ocho nodos de una red de prueba en cuatro de cada cinco intentos, utilizando únicamente decodificadores Android TV de bajo costo.

... right, the autonomy piece of it.

But if you just look at supply chain more broadly, and we have companies in our portfolio like Motive or Stord that have really taken a look at how goods and services move around.

How do you actually inject vision, computer vision, robotics into safety, into performance, into automating warehouses so that the cost of access to things for consumers goes down, and that's becoming very tangible.

Uh, and then you have obviously the transportation sector with, with companies like Waymo.