Realtime Voice Conversations
Stream speech in and out over websocket sessions with intentional TTS gating, low-latency turn taking, and configurable voices.
Learn MoreRealtime Voice Agent Platform
Give Intelligence a Voice
Pneum.ai combines realtime conversation, subagent orchestration, secure tool execution, and persistent memory so your assistant can move from chat to action for personal workflows, products, and everything in between.
Early Access
Talk to us before you build around the wrong stack
If you are evaluating voice agents, orchestration, or custom tool workflows, leave your email and we will reach out about fit, timing, and access availability.
Request early access
We will follow up when new access spots open.
Subagent Orchestration
Keep the main assistant responsive while specialist agents handle research, coding, scheduled work, and other delegated tasks.
Learn MoreSafe Tool Access
Control what each agent can do with profile-based tool policies, ability catalogs, and least-privilege routing.
Learn MoreMemory You Can Inspect
Store knowledge as markdown notes with semantic search, date-based organization, and explicit reindexing when files change.
Learn MoreVoice Trust Controls
Gate access with wake words, follow-up windows, and local speaker verification for higher-trust voice experiences.
Learn MoreMedia And Custom Tooling
Generate images and video in-session, or bring your own tools through HTTP, containers, and MCP with runtime safeguards.
Learn MoreBuilt For Controlled Autonomy
A coordinator, not just a chatbot
The platform keeps the main assistant responsive while specialist workers handle research, coding, scheduling, custom tools, and media generation behind the scenes, whether you are running one workflow or many.
From Conversation To Execution
Pneum.ai does more than speak. It can research, schedule work, read and write memory, launch specialist subagents, and run structured tools.
Built For Controlled Autonomy
Profiles, tool selectors, and sandboxed execution keep the coordinator lightweight while delegated workers operate with narrow permissions.
Designed For Real-World Use
Model selection, voice selection, audit logging, and editable tool policies make the platform practical whether you are building for yourself, your users, or a larger deployment.