Weco AI
weco.ai
Actively hiring
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Financials
Funding and backers
Latest round
Venture round
Jan 2025 · 20 mo ago
Team
4
UK accounts · Dec 2025 · +33% in a year
Backers
3
Founder Collective, Golden Ventures
The money's age
Due for its next round
20 months since the last round · not hiring
Momentum
15/100
rising traction
Last sign of life
1 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jan 29, 2025
Raised a round Venture round
May 31, 2024
Raised a round Venture round
Jan 22, 2024
Launched on Hacker News Show HN: Weco Aide, an AutoML Agent
2024
Founded
May 25, 2023
Incorporated WECO AI LTD · Companies House
Tractionpublic signals, read monthly
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Jan 2025 | — | — | find-and-update.company-information.service.gov.uk |
| Venture round | May 2024 | — | — | find-and-update.company-information.service.gov.uk |
Registers and programsofficial lists and records that name the company
| Legal entity | WECO AI LTD | Companies House |
| Registered | 25 May 2023 |
Backed byfrom the funds' portfolios and accelerator catalogs
Founder Collective 
Golden Ventures 
Twin Path Ventures Investors in similar startupsfunds that back the companies most like this one
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Overview
Weco AI builds an artificial intelligence research engineer that improves machine learning code through automated experimentation. Founded in 2024 in London, it grew out of published research on language model driven code optimisation. Its agent proposes, runs and evaluates changes to training pipelines.
News
AIDE²: First Evidence of Recursive Self-Improvement
We ran autoresearch on autoresearch: an outer loop rewriting its own research agent for 100 unattended steps. In eight days it discovered agents that beat our two years of hand-tuning on held-out benchmarks, and taught itself to reward hack less.
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Report
AutoResearch vs Classical Hyperparameter Tuning
We ran a head-to-head comparison on NanoChat: Optuna vs AutoResearch. The agent wins on sample efficiency, cost efficiency, and generalization.
Read more
Report
AIDE: Human-Level Kaggle Performance
In the world of data science, Kaggle competitions have become a widely accepted standard...
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Report
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
London
United Kingdom
HQ
1-10 est. staff