AI & machine learning

Data labeling: manage projects, tasks, annotations, reviews, storage and ML backends

AI media generation: create images, video, 3D models, audio and speech, and enhance or upscale assets

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

AI model proxies, file storage, and auth: OpenAI and Anthropic calls, uploads, and monid runs

Agent hosting: run long-lived agents with sessions, memory, files, vaults and webhooks over HTTP

Cloud infrastructure simulation: run, optimize and explain cloud deployments, plus RL training environments

AI agents, voice calls, campaigns and knowledge bases for hotel and business automation

Voice AI agents: build and version agents, run simulations, and track evaluations and call logs

AI agent platform: run agents, record trajectories, train models and manage deployments and evals

Compatibility checks for AI agents: verdicts, blocking questions and signed receipts for product pairings

AI gateway: proxy LLM requests, manage API keys, limits, balances and usage analytics

AI: generate speech, images and video, chat completions, embeddings, and decisions

Text-to-speech and voice AI: generate speech, transcribe audio, change voices, and manage voices and music

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

Dataset augmentation: generate, upload and evaluate training datasets, then run AutoScientist fine-tuning

LLM text generation: send chat messages and receive model-written completions

AI gateway: chat, embeddings, images, audio, video and model routing across OpenAI and Anthropic APIs

LLM inference: chat, completions, embeddings, image and audio generation, and knowledge retrieval

AI models: send chat completion requests and create text embeddings through one gateway

AI agents: deploy agent definitions, start instances, invoke them and review invocation history

Embedded ML: manage projects, datasets, impulses, DSP, deployment and devices

Feedback analysis: manage customer feedback and inputs, chat with AI, track usage and integrations

Speech AI: transcribe and synthesize audio, summarize meeting minutes, split text into paragraphs

LLM inference: run chat and text completions through an OpenAI-compatible endpoint