Pydantic
pydantic.devValidate Python data against typed models and generate matching JSON Schema.
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
Browse member-made CAD models with separate personal and commercial rights
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.
Inspect marketing costs, customer paths and conversion credit in a configurable attribution model.
Create and animate 3D content with generation tools, a model library, and SDKs.
Multi-model AI video platform with subscription plans and per-video credit pricing.
A native Windows AI chat app with a Quick Chat flyout and an optional own OpenAI API key.
Create and deliver trusted knowledge for customer service and IT support teams.
Survey routes with editable logic maps and respondent-group quotas
Analyze themes and sentiment across connected customer-feedback sources.
Questionnaire routing with page conditions and response quotas
Collaboratively author a Markdown knowledge base with review gates for publishing and agent changes.
Support feedback with metric questions and answer-specific follow-ups
Turn support answers into reviewed Help Center articles and customer-facing knowledge.