AI & machine learning

Video and media AI: upload files, extract data, transcribe, describe, search and chat over collections

Audio: generate sound effects for video and text, extend and inpaint clips, transcribe audio to MIDI

AI agent workspace: manage actors, files, skills, meetings, approvals, memory and integrations

Video and image generation: create jobs, price them, upload references, track balance and usage

LLM gateway: chat, embeddings, images, video, audio, key management and usage metrics

AI agents: run threads, issues, Captains, automations, files and review rules

Datasets, training, models and deployments: train YOLO on cloud GPUs, deploy endpoints, export to ONNX or TensorRT

Aggregated APIs for flights, prediction markets, crypto prices and weather, callable by AI agents

Hosted AI agents and sandboxes: deploy, run and wire agents to messaging, email and billing

AI generation: create images, video, 3D models and audio, plus enhance and upscale media

LLM observability: trace spans, run datasets and experiments, manage evaluators, annotation queues and monitors

AI media: generate images and videos across 155 models, track jobs, manage files and credits

AI agents: manage agent workspaces, tools, scheduled tasks and conversation invocations

Free memory, webhooks, queues and timers for AI agents: vaults, inboxes, schedules, secrets

Catalog search, verification, and request filing for open models and datasets, with license and provenance checks

ML experiment tracking: log runs, metrics, and logs, compare runs, and manage dashboards

Research: submit prompts for async multi-agent runs, then poll artifacts, canvas DAGs and task trees

Knowledge base: ingest sources, query grounded answers, generate and evaluate verified content

Construction document review: AI checks drawings and specs for code, ADA and spec conflicts

AI agents: list, connect, version and revert configurations for simulations and evaluations

GPU rental price indexes, vendor GPU offers and token prices, plus chat inference

Machine learning: build and query models, upload data, connect databases and manage API keys

Multi-agent orchestration: distribute tasks, route agent messages, discover services across coding agents

Connect AI agents to tools over MCP: manage integrations, sessions, skills, documents and credentials