Colosseums AI
Solving embodied intelligence
Tarin Ziyaee
Co-Founder & CEO
Nishanth Alapati
Co-Founder
The shift

AI agents have upended
chat, code, & math

We’re making them upend sports

Agents make everyone a pro

You ask
“Explain the offside rule in one sentence.”
Chat
Agent writes
Chat · 20221 / 4
You describe
“Code an agent that picks the best move.”
Code
Agent codes
Code · 20252 / 4
You pose
“Prove that R(k, k) ≤ (4−ε)k for every k ≥ 3.”
Math
Agent proves
Math · 20263 / 4
Colosseums AI
You coach
“Press high. Attack down the left.”
Sports
Agent competes
Sports · 20274 / 4
You no longer need to be a coder to code, a mathematician to prove, or an athlete to compete.
Two agents competing
Coach · Red
“Press high, counter down the wings!”
Coach · Green
“Sit deep, hit them on the break!”
For the first time

Your sports opinions
can now compete

Two agents competing
Coach · Red
“Press high, counter down the wings!”
Coach · Green
“Sit deep, hit them on the break!”
For the first time

Your sports opinions
can now compete

Anyone a kid, an adult, a grandpa
Any opinion “Shoot every chance you get!”
Any language “¡Presiona arriba!”   “اضغط عالياً!”
Any time your agents compete while you sleep
Any detail low-level tactics to high-level strategies
Any sport soccer, football, MMA
This is agentic sports.
Stadium crowd
Two agents competing
“Sub him off!”
“Long ball!”
“Toca a bola!”
“¡Presiona arriba!”
“اضغط عالياً!”
“Play the kid!”
“Park the bus!”
“Go route, every time!”
“前からプレス!”
“Trust the youth!”
“Man-mark their 10!”
“Chiudi gli spazi!”
“Hoch pressen!”
“Jab, then the body!”
“Take him down!”
“Allez, attaquez !”
Coach · Red
“Press high, counter down the wings!”
Coach · Green
“Sit deep, hit them on the break!”

5B people have strong opinions

Source: FIFA, ~5B people engaged with the FIFA World Cup Qatar 2022.
Stadium crowd
Two agents competing
“Sub him off!”
“Long ball!”
“Toca a bola!”
“¡Presiona arriba!”
“اضغط عالياً!”
“Play the kid!”
“Park the bus!”
“Go route, every time!”
“前からプレス!”
“Trust the youth!”
“Man-mark their 10!”
“Chiudi gli spazi!”
“Hoch pressen!”
“Jab, then the body!”
“Take him down!”
“Allez, attaquez !”
Coach · Red
“Press high, counter down the wings!”
Coach · Green
“Sit deep, hit them on the break!”

5B people have strong opinions

We’re monetizing them
Source: FIFA, ~5B people engaged with the FIFA World Cup Qatar 2022.
Stadium crowd

Colosseums AI

The agentic sports marketplace
monetizing 5B sports egos and opinions
Colosseums AI Live
Soccer agents
Rugby agents
MMA agents
1B+ agents· 50+ sports· 1B+ matches
Coach
anyone can, from their phone
Compete
agents compete while you sleep
Win
matches, leagues, rankings
Earn
from every win and every trade
Trade
buy and sell your best agents
Source: FIFA, ~5B people engaged with the FIFA World Cup Qatar 2022.
Agentic soccer
Our master plan
Solve
embodied
intelligence
Colosseums AI is a
monetized data flywheel
Agentic soccer
Why this matters
Sports is the
highest form
of embodied
intelligence
Pushing. Shoving.
Tackling. Grit.
Fierce sports develop everything from low-level control to high-level multi-agent coordination and strategies: full-stack embodied intelligence.
Red vs green match
The flywheel
Each match produces embodied data
Red coach
Press high, counter
down the wings!
Green coach
Sit deep, hit them
on the break!
Coach
Compete
Win
Earn
Trade
Embodied
data
Every match produces high-res touch, forces, proprioception, kinesthetics, multi-physics, and reasoning traces
At scale
Distribution produces the embodied internet
Where fans already play
Coach
Compete
Win
Earn
Trade
P2P, championships, leagues – all competitions at scale
Embodied
internet
By marrying sports distribution with embodied world models, we create embodied world models
Track
The proven pattern

Arenas create reasoning

ChatGPT
Verbal
reasoning
u/red_corner· 2h▲ 4.1k
Messi is the GOAT. Not close.
u/green_corner· 2h▲ 3.8k
Ronaldo is the better athlete. Easily.
u/red_corner· 1h▲ 2.9k
Messi made every team around him better.
u/green_corner· 1h▲ 2.6k
Goals win games. Check the numbers.
text arenas 2023
Claude Code
Mental
reasoning
Mental arena
code arenas 2025
Centurions
Embodied
reasoning
Embodied arena
sports arenas 2027
Reddit was a text arena. GitHub was a code arena. Colosseums is the sports arena that solves embodied reasoning.
The tech

Embodied world models

World models see. Embodied world models feel.
World models
High-res pixels
The surface a camera sees
Embodied world models
High-res everything else
Mind
Reasoning traces · Social predicaments · Adversity
Body
Touch · Kinesthetics · Proprioception
Physics
Forces · Dynamics & interactions · Materials & multi-physics
Unlocked by
Embodied world models fusing neural, muscular, and multi-physics dynamics
Founders

We decoded how brains move bodies

Tarin Ziyaee
Founder & CEO
Nishanth Alapati
Co-founder
Hand: skin, muscle, bone
$1BAcquired by Meta
Decoded brain-to-muscle signals
First to decode EMG with AI: how brains control muscles.
Meta
Simulated the human body
Expanded to whole human body multi-physics simulations
Colosseums AI
Now: agentic athletes
Agentic robotics and embodied world models powering a monetized data flywheel
EMG is the language of embodied intelligence. We decoded it.
Founders
Embodied AI
Embodied neurotech
Embodied agents
We combine all categories
19
years in embodied AI
9
years together
3
acquisitions
Tarin Ziyaee
Founder & CEO
First AI decoding of embodied data @ Meta.
First autonomous highway driving @ Apple.
Nishanth Alapati
Co-founder
Distributed training of multi-modal VLMs @ Meta.
First highly accelerated agentic robotics system.
Predictive marketing @ X.
Built at
Every startup we helped build was acquired
AppleAmazonDoDNIH
Cruise
Robotics
via Voyage†
X
Predictive marketing
via TellApart · $500M
Meta
Neurotech
via CTRL-labs · $1B
† Voyage was acquired by Cruise in 2021, after we’d left.
Team

Embodied AI, Physics, & Proprioception

Durai Ziyaee
Fastest 3D Web Physics DX · Three.js
Durai Ziyaee
Founding Engineer · Physics Simulations
Shipped humanoid dexterous physics simulations @ Meta
Top web physics engine, pinned by the founder of three.js
MetaPerplex
Chris Giles
Head of Physics @ Roblox
Chris Giles
Embodied Physics Architect
Joins at close
Inventor of Augmented Vertex Block Descent (AVBD), fastest million-rigid-body algorithm
Led physics team @ Roblox
Shipped product-grade embodied physics to millions of users @ Roblox
Roblox iconRoblox
Emrah Adamey
Led Perception @ Apple
Emrah Adamey
Embodied Robotics Lead
Joins at close
Perception lead @ Apple
Embodied AI @ Bedrock Robotics
Proprioceptive data fusion @ Meta
AppleMeta
Team

Industry advisors

The science of open-ended AI meets the business of sports.
Dr. Joel Lehman
Dr. Joel Lehman
Scientist in Residence · AI Research
Research Scientist @ OpenAI
Senior Research Scientist @ Uber AI Labs
Co-inventor of novelty search evolutionary algorithms
OpenAI
Nick Abou Sawan
Nick Abou Sawan
Growth & Monetization
6+ years @ EA: shipped FIFA Ultimate Team matchmaking
Built EA’s $500M+ Direct-To-Consumer (D2C) monetization platform
Lifted EA’s monetization funnel & engagement +60%
EA Sports FCGoogle
Marie Donoghue
Marie Donoghue
Growth · Sports Media Exec
Chief Business & Growth Officer @ DraftKings
VP, Live Sports @ Amazon
EVP, Global Business & Content Strategy @ ESPN
ESPNAmazonDraftKings
Scientific Advisors

Academic brain trust in embodied AI

Dr. Tony Zador
Dr. Tony Zador
NeuroAI
NeuroAI paper
Founder of the NeuroAI field
Natural Intelligence · Nature Communications
@ Cold Spring Harbor Labs
Yann LeCun
Yann LeCun
Co-author
Max Bennett
Max Bennett
Evolutionary Intel.
A Brief History of Intelligence
Rich Sutton Daniel Kahneman
Rich Sutton
Daniel Kahneman
Endorser
Endorser
Dr. Josh Bongard
Dr. Josh Bongard
Embodied Intel.
How the Body Shapes the Way We Think
Founder of the embodied AI field
NSF · NASA · DARPA funded @ UVM
Day-One Believers

Early Investors & Backers

Operators who've shipped foundational AI, robotics, and self-driving.
Google
Google Startup
Accelerator
2025 AI Cohort
Won Top AI Tier Google Cloud Compute funding
Google for Startups
Luc Vincent
Luc Vincent
Tech Exec · Roboticist · Investor
VP AI / Eng / Product @ Meta
EVP Autonomous Driving @ Lyft Lvl5
Senior Director @ Google
Meta Google
Dr. Dileep George
Dr. Dileep George
Entrepreneur · Roboticist · Neuroscientist
Co-founder & CTO @ Vicarious Robotics
acq by @ DeepMind
Head of AI @ Astera Institute
DeepMind Stanford
Stadium
Traction · Agentic World Cup

0 marketing. 0 distribution. 0 prizes.

300 600 0 AUG 11 AUG 14 SHUT OFF — OUT OF CAPACITY ENTERED 542 WAITLISTED 467
🇦🇩🇨🇾🇩🇪🇬🇷🇮🇷🇮🇹🇰🇿🇲🇬🇳🇴🇵🇸🇵🇱🇸🇬🇦🇪🇬🇧🇺🇾🇻🇪🇧🇷BRAZIL🇹🇷TURKEY🇺🇸USA🇫🇷🇮🇳🇪🇸SPAIN🇦🇫
Top nations · 23 countries
542
signups
23
countries
5K
matches
3
days
100%
organic
No marketing. No distribution. No prizes. We ran out of capacity.
1,760 IRAQ 1,480 EGYPT 530 SYRIA 470 ALGERIA 460 MOROCCO 430 SAUDI ARABIA 180 TUNISIA 140 LEBANON 120 SUDAN 60 LIBYA PALESTINE UAE OMAN
Traction · MENA

MENA is already playing

العالم العربي يلعب بالفعل
6,000
Participants
60%
Conversion
13
MENA countries
🇸🇦Faisal · @Faisal_fantasy1 · X
…انك تشوف الذكاء الاصطناعي يلعب ويطبق افكارك في الملعب شيء تاريخي 😂🔥 حالياً مركزي 4 🔥 كم مركزكم 🤔
Watching the AI play and carry out your ideas on the pitch is something historic 😂🔥 I’m currently 4th 🔥 What’s your rank? 🤔
🇵🇸Player · Instagram DM
منطقة الشرق الاوسط مهووسة بكرة القدم والعابها، فأكد لك نجاح التجربة واللعبة في هذه المنطقة كما ترى احصائيات اللعبة
The Middle East is obsessed with football and its games, so I assure you the game will succeed in this region, as you can see from the game’s statistics.
🇮🇶Player · Instagram DM
لعبتك في مستقبل استمر فيها وراح توصل للعالميه والعراقيين ما حنقصر معاكم
Your game has a future. Keep going and it will reach the world stage, and we Iraqis won’t fall short in supporting you!
Estimated: 6,000 participants split by the country mix of the last two championships. Palestine, Oman and UAE also ranked.
GTM · One sport at a time

Solve sports. One at a time. All the way to physical AGI.

Grow users → monetize → ship the best agents → next sport. Rinse, repeat.
Seed
Solve soccer
•Prize-money leagues & high-frequency competitions, the DraftKings playbook
•Distribution through esports, fantasy & sports media
•Recursive self-improvement + deep, fast physics → the richest physical data
On real robots
Series A
Solve every sport
•Same recipe across rugby, wrestling, MMA, basketball, etc.
•Users scale with every new sport
•Diversity of challenges compounds the data
On real robots
Series B
Solve physical AGI
•The most unique physical dataset on earth: corner cases, open-ended challenges, winning and losing
•The Centurion foundation model
•Physical AGI
Every match deepens the data. Every sport widens it. Every sport solved = physical AGI.
We already have the best embodied soccer agents on the planet.
And we haven’t even scaled yet.

LET THE GAMES BEGIN!

Colosseums.AI
Appendix

Overtime

Pilot

The agentic opportunity

Agentic sports: fantasy’s AI-era growth

88× bigger competitor pool
Anyone with a phone and an opinion
5B sports opinions vs 57M fantasy players
60× more frequent games
No schedule. No off-season.
4,320 agentic games a day vs ~73 real games a day
100% league ownership
Your league, your media, your data
vs 0% of the leagues fantasy runs on today
$1.1B in ad savings
Users share their agent’s wins for free
Up to DraftKings’ entire 2025 ad spend
You bring distribution. We bring a new category.
88×: ~5B people engaged with the 2022 World Cup (FIFA) vs ~57M people in the US and Canada who play fantasy sports (FSGA 2025). 60×: one agentic game a minute in each of soccer, football and MMA (4,320 a day) vs ~73 real games a day (~26.5K a year) across every sport DFS offers. 100%: fantasy owns none of the leagues it runs on (NFL teams alone are worth ~$227B; Forbes 2025). $1.1B: DraftKings’ advertising spend in 2025 (FY2025 10-K), the most that free sharing could save. Full math on the next slides.
The math · competitor pool

88× bigger competitor pool

5B
people with strong sports opinions and egos
57M
North Americans
who play fantasy
Circles drawn to scale, by area
Ours
5B
sports opinions
VS
Theirs
57M
fantasy players
Our pool
5B people engaged with the 2022 World Cup (FIFA). Anyone with a phone and an opinion can coach an agent, in any language.
Their pool
57M people in the US and Canada who play fantasy (53M + 4.2M, FSGA 2025): the most any one operator draws from.
Five ways to compare
Theirs
Ours
Ours is
Their N. American monthly customers vs our worldwide pool
7.4M
5B
676×
Their N. American fantasy pool vs our worldwide poolwhat we use
57M
5B
88×
Their N. American fantasy + betting pool vs our worldwide pool
90M
5B
55×
Their N. American fantasy pool vs N. American adults with phones
57M
~270M
4.7×
All fantasy players worldwide vs our worldwide poolno single operator
~245M
5B
~20×
Sources: FIFA (World Cup 2022 engagement); FSGA 2025 and 2026 participation research; DraftKings Q2 2026 8-K; Flutter Q2 2026 results; Pew Research 2025 (91% of US adults own a smartphone). Worldwide fantasy figure is a third-party estimate. Like for like: both count everyone reached over a period, not monthly customers.
The math · games

60× more games

JanFebMarAprMayJunJulAugSepOctNovDecREAL/DAY10093826763474757686710480
One year to scale: each dot is 72 games, each block a day. Real games peak in winter (~100 a day) and thin out in summer (~47).
Ours
4,320
agentic games / day
VS
Theirs
73
real games / day
Our games
4,320 a day: an agentic game kicks off every minute in each of soccer, football and MMA. A stand-in for on demand: any two coaches can play whenever they want.
Their games
73 a day: every real game DFS can build contests on, across every sport it offers (~26.5K a year).
How the number moves
Ours a day
vs 73
1 sport, a game a minute
1,440
20×
3 sports, a game a minutewhat we use
4,320
60×
3 sports, a game every 10 seconds
25,920
~360×
Where 73 comes from: ~26.5K real games a year / 365. US pro leagues 5.8K · college 6.5K · soccer 4.8K · tennis ~5.5K · esports ~2.5K · UFC, golf, NASCAR, F1 and more 1.3K. Sources: 2025–26 league schedules (regular season + typical playoffs; daily pattern modelled from each season’s dates); DraftKings DFS sports coverage. Tennis, esports and smaller-league counts are estimates. “One game a minute” is our modelling assumption for on-demand play. Like for like: game for game. Tournaments, 50/50s, head-to-heads and leagues stack on top of games on both sides.
The math

How we got the numbers

88× bigger pool
5B / 57M ≈ 88
5B people engaged with the 2022 World Cup (FIFA)
57M North Americans who play fantasy (FSGA 2025)
$1.1B in ad savings
up to $1.12B
DraftKings’ 2025 ad spend (FY2025 10-K)
The ceiling: every shared match is an ad they don’t buy
60× more games
4,320 / 73 ≈ 60
4,320 = 1 agentic game a minute × 1,440 min × 3 sports
73 = ~26.5K real games a year in every DFS sport / 365
100% ownership
100% vs 0%
You own the league: schedule, sponsors, media, data
Fantasy owns 0% of its leagues (NFL teams: ~$227B)
Real games a year DFS runs on
~26.5K
about 73 a day, across every DFS sport
US pro leagues
NFL, NBA, MLB, NHL, WNBA
5,777
College
football + men’s basketball
6,523
Soccer
MLS, Europe, UCL, Liga MX, more
4,846
Tennis
ATP + WTA singles
~5,500
Esports
LoL + CS2 top tier
~2,500
Everything else
UFC, golf, NASCAR, F1, CFL, EuroLeague
1,342
Sources: FIFA; FSGA 2025; DraftKings FY2025 10-K; Forbes NFL valuations 2025 (32 teams × $7.1B avg); 2025–26 league schedules (regular season + typical playoffs). Tennis, esports and smaller-league counts are estimates. Detail for the first and third rows on the previous slides.
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