Coding agent
Claude
Codex
Cursor
/weco improve validation accuracy
Goal set
Observable
The search is a tree. Open any node to see its code, terminal output, and metric.
Steerable mid-run
Try a paper or your own idea; it becomes a new branch of the search.
Model neutral
GPT, Claude, Gemini, Kimi, GLM, MiniMax, with bring your own key.
Use cases
Fraud Detection
AUC 0.91 → 0.93
for end-to-end transaction-fraud ML pipelines
Prompt Engineering
+32.4% accuracy
for vision-language chart-to-CSV extraction
Inference Optimization
+47.7% speedup
for causal self-attention in GPT-style LLMs
Hyperparameter Optimization
−91.3% RMSLE
for molecular property prediction in materials science
Use your coding agent to set up the optimization
Type /weco in Claude Code, Codex, or Cursor. The agent sends Weco your task; Weco iteratively writes the next code version and runs your eval.
we·co
tree searchDon't take our word for it.
So amazing to see something built by this team that's substantially underpinning and influencing OpenAI's agentic roadmap.
Edward Grefenstette
Director of ResearchGoogle DeepMind
Weco consistently surfaced improvements across my entire ML pipeline that I would never have discovered manually. It doesn't just accelerate development - it enables a fundamentally different way of building intelligent systems.
Christian Schwarz
Head of AIStandard CharteredPortfolio optimization
OpenAI is nothing without AIDE. Really cool to see @WecoAI's agent framework give o1 such a huge uplift.
Minqi Jiang
AI Researcher
Weco is how we go from 90% to 99%. We use it as a second phase after training - and the improvements it finds have directly helped us close deals.
Jun Cho
ML EngineerVardera LabsCounterfeit detection & authentication
Setting up Weco was incredibly easy; it instantly understood what to do, and I barely had to touch it.
Dan Schwartz
Founder, ArbiumOS Context Layer
We used Weco to optimize our voice AI prompts - accuracy jumped from 82% to 96%, with entire failure categories going from 0% to 100% in just a few iterations.
Tyler McGraw
ML Engineer, VeritusVoice AI prompt optimization
We used Weco on a bioacoustics research problem where we had to design new algorithms from scratch. It replaced weeks of manual heuristic work.
Param Mohapatra
Applied Math PhDCornell UniversityJennifer Sun's Lab
Flexible pricing
Try it on a real run
Free
- 20 free credits ≈ 100 steps of Weco-hosted autoresearch.
- Free access to Weco Observe: bring your own autoresearch agent and use the Weco dashboard for observability.
Bring your own keys
BYOK
- Use your OpenAI, Anthropic, or Gemini keys.
- Up to 10k experiments per month.
Managed inference at scale
Pay as you go
- Everything in Free, plus:
- Access to all models.
- Priority support.
Frequently Asked Questions
Turn your codebase into a self-improving system
Connect your coding agent to the dashboard and turn any eval into a self-improving loop.