Sumanth Gurram

@hone | prev @DecagonAi, @AIatMeta, @berkeley_ai

[Sumanth Gurram @sumantheg]

@yongninggg @hone Welcome to the team!!!

[Sumanth Gurram @sumantheg]

I joined Hone because we’re building AI systems that can deploy themselves safely within organizations, improve rapidly, and reliably achieve each organization’s goals. We’re doing the research and building the primitives to bring these capabilities across industries and functions. Our team includes leaders and operators from Cognition, Mercor, Ramp, Decagon, Jane Street, and more, with experience in frontier research and deploying AI to the world’s largest enterprises. We believe now is the moment to make powerful AI broadly useful, safe, and aligned with the organizations it serves.

[Hone @hone]

Today Hone launches Engines: AI that owns business outcomes.

Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes.

You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience.

From AI leaders to global enterprises, our customers have already used Engines to:

• Uncover millions in procurement savings
• Optimize product funnels
• Manage credit risk
• Increase qualified pipeline in new territories
• Accelerate implementations and improve account management

To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align.

AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap.

Here’s how they work…

[Moritz Stephan @moritz_stephan]

As intelligence becomes less of a bottleneck, the real challenge is making a business outcome well specified so that it can be automatically hill climbed.

At Hone, that means turning production traces into replayable multi-turn evals, building high fidelity simulations of messy real world environments, and getting systems to robustly learn from their own experience.

We’re a team of Thiel Fellows, Jane Street quants, published researchers, and early engineers from Cognition, Mercor, Decagon, and Ramp.

If you want to work on AI that owns real outcomes at real companies, send me a DM or check out our careers page below.

https://t.co/LEjzldnfCW

[Sumanth Gurram @sumantheg]

@hone Start your engines 🚀

[Sumanth Gurram @sumantheg]

@andreamichi 🚀