AI Infrastructure

Scrapeless combines an agent browser, AI scraper, web unlocker, and APIs for building web-data workflows.

Colibri runs mixture-of-experts language models on local hardware, streaming experts from disk with a small C engine.

Featherless is a serverless AI inference platform for open-weight models with API access to tens of thousands of models.

Ombre adds security, caching, memory, and audit functions in an infrastructure layer for AI requests.

Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.

The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.

Lambda provides on-demand GPU instances and reserved clusters for training and running AI models.

A multimodal lakehouse for developing, managing, searching, and serving large-scale AI datasets.

DeepLake provides multimodal data infrastructure for AI agents, including retrieval and training.

Gradio creates web interfaces for machine learning models in Python so developers can share interactive demos and apps.

Drafter lets teams build AI tools and automations without developers, with integrations to data sources and AI technologies.

Bodywork deploys machine learning pipelines to Kubernetes and handles containers and orchestration.

TensorFlow offers an open-source machine learning platform with tools, libraries, and community resources.

Parloa provides an AI agent management platform for contact centers and customer service operations.

MLflow provides tools for AI engineering with agents, language models, and machine learning models, including debugging and monitoring.

The Datumbox framework is written in Java for developing machine learning and statistical applications.

Mistral offers models and tools for customizing, fine-tuning, and deploying assistants, agents, and multimodal AI.

DJL is a Java framework for running deep learning models across different engines.

Anaconda provides tools for developing, orchestrating, and deploying data science and AI projects.

PyToune provides a simplified framework and utilities for working with PyTorch.

RunComfy launches ComfyUI workflows in the cloud and offers GPU access and production API deployment.

Groq is a neocloud platform for fast AI inference, providing integrated infrastructure and control.

onWatch tracks AI API quotas across providers and displays usage in real time through a lightweight background monitor.

Microtica deploys and monitors cloud-native applications, with agents for infrastructure and incident resolution.