AI & machine learning

LLM platform: manage agents, knowledge bases, datasets, evals, prompts, traces and logs

AI gateway: route chat, image, audio, and video requests to many LLM providers

Agent memory: store user messages, peers, sessions and conclusions, then query and chat over them

Digital twins: model objects, search and link data, run agents, workflows and syncs, track AI costs

AI agent platform: build agents, A2A and MCP endpoints, OAuth, workspaces, webhooks

LLM gateway: route chat and audio requests to providers, manage keys, budgets, usage and traces

LLM gateway: chat, embeddings, images, audio, plus keys, credits, batches and analytics

Enterprise search and AI: search content, run chat and agents, manage skills, triggers, users and usage limits

Assistants: manage backups, doctor sessions, organizations, billing auto-top-up, MFA, feedback and releases

Builder: generate apps and companies from an idea, ask Cody, manage live deployments and secrets

Agents, files, integrations, billing and team management: automate and administer Atako AI agents via API

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

AI models: generate text and speech, transcribe audio, embed text, and manage files and batches

AI models: generate text and speech, transcribe audio, embed text, manage files and batches

Voice AI agents: test, simulate and analyse calls, chats, metrics and customer flows

AI agent platform: chat with agents, manage files, knowledge bases, goals, plugins and API keys

AI agents: manage agents, teams, memories, chat history, storage and virtual try-on projects

Agentes IA: ejecutar Mets, aprobar sus acciones y gestionar colecciones, tareas e integraciones

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

LLM observability: manage traces, datasets, experiments, evaluators, annotation queues and monitors

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

LLM inference: chat, responses, messages, OCR, audio transcription and decisions on open models

Multi-capability AI: run generation and voice jobs, manage model adapters and LoRAs, quote charges, track jobs