Speed
1 operator,
2 weeks
Replaces a 20-person pod — from product pick to first sale.
E-commerce Intelligence
Scalable brand incubation, run end to end by an Agentic Commerce OS.
One operator and two weeks replace a 20-person pod — from product pick to first sale, in any category. Agents run the full pipeline: sourcing, creative, media, storefront and more.
- One operator
- Two weeks
- Any category
What we do
Scalable brand incubation, made possible by Agentic Commerce OS.
Non-scalable brand buildingScalable brand incubation
The system
ACOS
The Agentic Commerce OS runs the full pipeline — sourcing, creative, media, storefront, and more — as one system.
- Sourcing
- Creative
- Media
- Storefront
- and more
The output
In-house brands we hold and operate — automatically, at scale.
How it works
Why we can scale multiple brands at once.
Knowledge that used to walk out with people now compounds inside one system — and the reward is profit.
The traditional way
Brand A
“Refund policy”
Operations
“Bidding strategy”
Ad buying
“Video hook strategy”
Social media
Brand B
“Xmas sale strategy”
Operations
“How to lower CPM”
Ad buying
“KOL campaign”
Social media
Knowledge is scattered.
It walks out with the person. Every new brand starts at zero.
Mitoshi — AI native
Human in the loop
Execution Layer: Full Process Agent
rollouts
policy
Training Layer: Reinforcement Learning
Reward is profit.
Every rollout and every human correction goes back into the RL system to enhance future performance in decision making.
What we train
One full commerce loop becomes one rollout.
Inside the Mitoshi Commerce Learning Environment, a launch is not a project — it is a complete operating trajectory, from the first market signal to settled orders.
Thousands of rollouts flow back — every one makes MCLE more valuable.
Mitoshi Commerce Learning EnvironmentOne rollout · A complete operating trajectory
S1
Market signal
Price-band gap, demand rising
S2
Feasibility
ROI model · factory quote · compliance
S3
Brand launch
Positioning · audience · DTC site
S4
Content
Angles · short-video matrix
S5
Ads buying
Channels · bids · CTR / CVR read
S6
Orders
Contribution profit · ROI, 7/30/90-day backfill
Why Mitoshi
Others automate steps; we build the intelligence.
Three assets, one loop. Each rollout feeds the data, the data trains the environment, and the environment sharpens the agents — so the whole chain compounds.
- 01
Data infrastructure
Every rollout recorded end to end.
- 02
Training environment
Live commerce, profit as the reward.
- 03
Agent capability
Frontier models in a production harness.
Isolated tools, one per functionOne system that compounds across the chain
Given any product, our system knows the best channel and content strategy to yield the best ROI, at the lowest cost.
Results
Live results from the system today.
Numbers from live creatives and live production — today.
Meta ads
4.5%
Average CTR
Across all live creatives.
9%
Best creative CTR
Top performer in the current set.
21.7x
Best ROAS
After the system optimised the creative.
Content throughput
~50/ day
Short-form videos
~300/ day
Image and copy posts
vs a manual team
3x
the output of a five-person content team
At production quality, today — every asset reviewed before it ships.
Agentic Commerce OS
One operator. Two weeks. Any category.
Scalable brand incubation, run end to end by an Agentic Commerce OS.