AI & machine learning

Speech-to-text, speaker diarization and identification: transcribe audio, label speakers, get subtitles

Agentes IA: ejecuta Mets, gestiona colecciones, tareas, integraciones y aprobaciones del workspace

Agents and skills: manage agents, chats, folder syncs, skill catalogs, billing usage and integration access

AI agent platform: run agents, automations, threads, logs, dashboards and connected accounts

AI generation: create images, video, 3D models and audio, plus enhance and manage assets

LLM observability: trace requests, manage prompts and evaluators, track costs, and query metrics

LLM gateway: route chat and embeddings calls, manage API keys, budgets, usage and traces

Data annotation: create projects, label tasks, review annotations, manage storage and ML backends

Agent orchestration: manage projects, agent sessions, automations, PRs, reviews and notifications

Browser automation: run AI agents and tasks, manage runs, credentials, browser sessions and profiles

AI model gateway: chat, embeddings, images, audio, video, batches and files via OpenAI- and Anthropic-style endpoints

Platform API for workspaces, datasets, model gateways, robots, SCIM users and usage billing

Long-lived agents: create sessions, run tasks, manage files, memory, vaults and webhooks over HTTP

Evaluation platform: score AI agents, run benchmarks, review annotations and manage releases

AI gateway: manage API tokens, channels, users, billing, logs and model pricing

Agents: start sessions, stream events, read transcripts and artifacts, manage secrets and keys

AI gateway: generate text, images, video, audio, voice and embeddings via one API

LLM observability and AI workflow platform: manage agents, knowledge bases, evals, datasets, traces and logs

Memory: store and recall AI context across workspaces, with OAuth sign-in and account management

LLM observability: trace spans, datasets, experiments, prompts, annotations and projects

Agent environments: manage tasks, tasksets, rollouts, builds, traces, models and QA checks

Language models: run chat completions, manage files and websites for RAG, store secrets, and orchestrate runs

Agents and workflows: deploy agent workflows, run executions, manage vault secrets and profiles