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A prompt engineering workspace for comparing models and refining AI workflows

Experiment with financial language models, sentiment and forecasts

An LLM request gateway and dashboard for tracing calls, latency, and model spend.

Build and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.

Composes Python components into retrieval, search, and agent pipelines for AI applications.

Model-based end-to-end test automation for enterprise applications and business workflows.

Private AI workspace, agents, model gateway, and knowledge layer

One chat for dozens of AI models, from $20 a month

Mac browser beta with per-site permissions and an AI panel

Build interactive terminal applications in Go with an event-driven model, update, and view loop.

Call Claude models through a REST API, official SDKs, and asynchronous batch endpoints.

Validate Python data against typed models and generate matching JSON Schema.

Compiles and optimizes machine-learning models for deployment across hardware targets.

Trace and investigate AI application calls with a local or self-hosted observability interface.

Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.

Personal AI art generator that turns your photos into images and videos

Select parts of a scientific model and keep its version, format and attribution together

Generate a model from a clear reference, inspect it and choose an export format

Interior asset collections with native scenes and mapped exchange files

Model continuous-delivery pipelines and trace changes from source to deployment.

Memory and continual learning engine for AI agents

Inference platform for deploying open-source, custom, and fine-tuned AI models in production.

A community site for AI art, with featured images, models and creator pages.

Runtime FinOps that meters, budgets, routes and charges back every model call.