Om Buddhdev
Founder/CEOI am building the entire stack for multi-agent environments so we can do better AI evaluations and training.
I'm a tech enthusiast and optimize for following my curiosity.
In the past I've done some fun things before Olam Labs ranging from esports, to consumer, to engineering, to research. I was one of the best Valorant players in the world, a Staff Engineer at AI Dungeon, done math research, and other stuff. You can read more here: https://www.sensho.xyz/
shreshth sharma
Founder/CTOcurrently building mulit-agent envs to create better evals @ olam labs,
previously:
was doing a cs/math at waterloo
and business double degree at laurier (dropped out to start olam labs )
creating reinforcement learning systems and doing data science @ RBC
did algorithmic arbitrage on prediction markets
briefly top 50 on fifa mobile
Origins
Om and Shreshth met in middle school. They were the only two kids in the “gifted” program in their grade, and their first project together was running a snacks and candy store at their school where the profits were used to donate to charity.\
\
During Christmas holiday in 2025, Om created a multi-agent simulated environment where agents ran their own company in markets competing against each other, and showed it to Shreshth.\
\
Shreshth, with a background in data and RL among other things, loved the implications of it. Om discussed with him how if multi-agent environments were developed and productionized at scale via frameworks, APIs for infra, and interactive games the kind of data and evaluations it could generate.\
\
The problem was (and still is) that despite the success of multi-agent environments in research, the ecosystem around them has not been pursued to a degree where the utility of multi-agent environments is made readily available to everyone.\
\
They decided to pursue it and applied to YC, and have been in pursuit of a future where we can understand and measure the models that we work with everyday and that will become increasingly autonomous in our everyday lives with AI acceleration. Om and Shreshth both believe there is a severe shortage of good AI evaluations, especially on qualitative behaviors, of which multi-agent environments (and allowing others to build them) is very well suited to solve.\
\
More on Shreshth: [shresh.ca](http://shresh.ca) Shresh’s X: <https://x.com/shresh>\
More on Om: [sensho.xyz](https://www.sensho.xyz/) Om’s X: <https://x.com/sensho>
