Markie Wagner

Introducing @PoeticHQ: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents.

We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination.

While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy.

So we built a new kind of software that pairs the flexibility of AI with the predictability of code.

When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective.

In one year, we went from zero to an eight-figure run rate as a team of four.

Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.

Thrilled to announce that Trucksmarter has joined @PoeticHQ. Dan Kao will lead operations, and the rest of the team will focus on accelerating our work in supply chain.

Dan is a force of nature. He got his start as DoorDash’s youngest GM, where he ran all of Canada. He then led one of Uber’s largest business units, scaling freight from zero to $500M+ revenue.

We met years ago through @foundersfund, who backed us both. I watched Trucksmarter grow to a $500M+ lending business, serve 1M+ truckers, and facilitate billions of transactions.

The most important companies on earth run as a collection of thousands of archaic processes. Poetic learns each one from experts, translates it into self-healing code, and proposes improvements so companies can evolve past where they got stuck.

As we began running core operations at the largest manufacturers, we realized it was possible to leapfrog old approaches to classic problems like scheduling, forecasting, and procurement. To move faster, we needed a team who knew the industry deeply.

We’re lucky Dan and the team decided to join the fight.

Stepping outside my Stanford/Google/Waymo research bubble and sitting with real American companies made me realize why the bulk of the economy was not automatable by software or AI.

We needed something new that is neither strictly code or AI, something that can flex but deliver reliable and affordable results to the biggest companies in the world.

@tbpn @PoeticHQ

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