Weco AI

Weco AI is a Coding & Development tool that optimizes machine learning pipelines. It uses an LLM-powered agent to autonomously generate and test code solutions, improving metrics like AUC and speedup.

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At a glance

Pricing

Freemium · Usage-based

Free tier

Yes

API

Skill level

Technical

About

What is Weco AI?

Weco AI is a platform designed to optimize machine learning pipelines by leveraging AIDE ML, an LLM-powered code optimization agent. It autonomously generates and tests candidate solutions, keeping improvements and discarding failed attempts to enhance metrics such as AUC, accuracy, and inference speed. The platform supports various use cases including fraud detection, prompt engineering, and scientific ML. Weco AI allows users to run optimization processes for extended periods without human intervention, ensuring cost efficiency by charging fractions of a cent per candidate. It operates locally with user code and data, sending only diffs and metric values to the cloud, ensuring data privacy. The tool is language-agnostic, working with any language that prints a metric to stdout, and provides a searchable tree of candidates for experiment tracking.

Best used for

Ideal for developers and machine learning engineers who need to optimize ML pipelines, improve model metrics like AUC or accuracy, and accelerate inference. Especially valuable for finding non-obvious code improvements and maintaining data privacy by running code locally.

Common actions

optimize code

improve machine learning models

automate code generation

track experiments

enhance model performance

Capabilities

Key features

Autonomous code optimization
LLM-powered agent
Metric-driven improvements
Local code execution
Language-agnostic
Experiment tracking tree
BYOK support

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Freemium · Usage-based

Not publicly disclosed. Check weco.ai for current pricing.

FAQs

What kinds of problems can Weco AI tackle?

Weco AI can tackle any problem whose evaluation can be scored with a script and has a manageable evaluation cost. This includes tabular ML feature engineering, prompt optimization, video encoding parameter tuning, backend latency, and RL reward design.

How does Weco AI ensure my code and data privacy?

Your code and data remain on your machine, with evaluations running locally. The Weco agent in the cloud only sees proposed diffs and metric values, not your training data, model weights, or private inputs. Your code is not used for training models.

Can I use my own LLM API keys with Weco AI?

Yes, Weco AI supports Bring Your Own Keys (BYOK). Optimization LLM calls can be routed through your OpenAI, Anthropic, or Gemini keys, with billing directly from your provider. A small platform credit is still used for Weco's orchestration.

How much does it cost to use Weco AI?

Weco AI offers 20 free credits, equivalent to about 100 optimization steps. Each step costs a fraction of a cent plus LLM token usage. Typical small-scale runs range from $10–$30. You can also use your own LLM API keys to manage costs.

Does Weco AI work with multiple files or multi-prompt systems?

Yes, Weco AI can optimize across multiple files or multi-prompt systems. You can point it at a directory or a set of files, and Weco will coordinate edits across them to achieve the desired optimization.

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Subcategories trending in Coding & Development

Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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