HappyRobot

The infrastructure for enterprises to build and orchestrate their AI workforce.

[HappyRobot @HappyRobot]

Agents are both acting on data and, with every interaction, generate memory, success metrics, and critical parameters extracted from transcripts. All new operational knowledge that couldn't exist in any other way.

That generated context feeds back into every future action, beginning the flywheel where execution generates context, context improves action, and intelligence compounds.

[HappyRobot @HappyRobot]

It all starts with agents - the core of the HappyRobot platform.

Agents handle coordination and communication across complex workflows and earn operational context with every interaction.

[HappyRobot @HappyRobot]

Workflows are omni-channel, can be inbound or outbound, and are built with three foundational elements:
- A prompt that guides operating procedure and behavior
- AI tools like document scanning with OCR and browser agents that let agents interact with the real world
- Deterministic logic like API calls and webhooks that keep execution reliable

[Olivia Moore @omooretweets]

In 24 months, @HappyRobot went from a cold start to serving nine of the top ten freight brokers in the U.S.

They now manage millions of interactions monthly across 80+ countries and many more verticals (telco, energy, insurance, + more)

What B2B AI cos can learn from this 👇

[Luis Paarup @PaarupLuis]

The greatest value and leverage for an enterprise lives at the top of the pyramid of work. But systems can't start at the top.

Context accumulates through execution at lower levels first - high-volume, repeatable, low hanging fruit to automate.

And builds to highly contextualized work - prioritization, optimization, exception handling.

Climbing the pyramid is not a feature roadmap. It's a consequence of having done the work underneath.

Point solutions never get there. Each new workflow starts from zero, and the business never gets smarter.

The pyramid is the entire game. Where every level unlocked makes the next one more valuable.

[Anish Acharya @illscience]

"the pyramid of work" - really interesting framework from the @happyrobot ceo @pablorpalafox:

- at the bottom, repeatable low hanging fruit. at the top, complex + strategic decision-making
- context is captured by doing work - and you gotta start at the bottom and work your way up the complexity chain
- and at the top there is context inside the CEO's head that would lead to step change improvement at every layer if the agent had it

this is why 1) enterprise agents will be a compounding gains market 2) the goal should be to intermediate the most important interacts that happen in a business, not own "customer support" or "sales" or whatever

loved this conversation with pablo and @PaarupLuis

[Olivia Moore @omooretweets]

Forward deployed engineering has become the enterprise AI motion

But how do you make sure you're building a product, not delivering services?

@illscience and I talked to @pablorpalafox + @PaarupLuis on how HappyRobot has scaled to dozens of customers (and $1M + contracts) 👇

[HappyRobot @HappyRobot]

We've officially opened our New York City office! 🗽

We have a growing team of talented folks running go to market and deployments. If you're interested in being an early member of our NYC team, check out our open positions: https://t.co/GgYz6VBMxm

This is our sixth office, following San Francisco, Madrid, Barcelona, Chicago, and Sydney. Guess which city is coming next. 👀

[HappyRobot @HappyRobot]

Starting by building and deploying them into the real world,

Where they are continuously evaluated against benchmarks.

With every interaction, context is captured and fed back into the business.

Teams stay connected through interfaces built for visibility and collaboration.

One transparent platform, compounding knowledge across your entire business.

[HappyRobot @HappyRobot]

This is the platform to put agents to work.

[Pablo Palafox @pablorpalafox]

The limit of AI in your enterprise isn't the model. It’s what the model knows about how you operate.

[Gonzalo Ybáñez @GonYbanez]

@Carles_Reina @ElevenLabs Thanks for the viz @Carles_Reina in case you want to correct the info, no Elevenlabs Agents used for this one - fully built & run on @HappyRobot

[kathryn @katvondean]

@Carles_Reina @ElevenLabs This was actually built on @HappyRobot! You can see the mentions in the blog.
https://t.co/fulfrDnTln

[HappyRobot @HappyRobot]

Incredibly cool usage of HappyRobot agents - calling 5,173 bakeries in France to find the traditional cost of a baguette:
https://t.co/R8Q64GHTrE

[HappyRobot @HappyRobot]

We're thrilled to continue this partnership, working closely with Yngve and Kuehne+Nagel teams on 10+ use cases now on the roadmap.

Learn more: https://t.co/gCwRJf0gWi

[HappyRobot @HappyRobot]

We started with one team, in one country, monitoring temperature-controlled healthcare shipments around the clock. Today, our work with Kuehne+Nagel is expanding across global Air Logistics.

[HappyRobot @HappyRobot]

AI agents were deployed to handle outbound carrier communications, exception escalation, and multilingual coordination across five languages - overnight and across global time zones.

We’re seeing 78% autonomous resolution and a 47% capacity increase. And this is just the start!

[HappyRobot @HappyRobot]

Read the full story on our collaboration with the second-largest privately held freight brokerage in the country. 👇

https://t.co/lIf2BiIcUx

[HappyRobot @HappyRobot]

Six AI agents automate mission-critical operations for thousands of loads monthly. 120 reps collaborate with those AI agents through a custom, unified operational layer.

[HappyRobot @HappyRobot]

In the first full month, the system completed 50,000 tasks with full observability. One person doing the same work would have done 5,000 in a silo.

The team didn't grow. Their capacity did.

“The goal was never to remove people. It was to make them superhuman.”