Audience
AI researchers, developers, multimodal AI teams, enterprise AI platforms, robotics companies, conversational AI providers, and organizations building real-time human-AI collaboration systems
About TML-interaction-small
TML-Interaction-Small is a real-time multimodal interaction model developed by Thinking Machines Lab to enable more natural and collaborative human-AI communication across audio, video, and text. Unlike traditional turn-based AI systems that rely on external scaffolding and delayed interactions, TML-Interaction-Small is designed around continuous micro-turn exchanges that allow the model to perceive, respond, listen, speak, and react simultaneously in real time. The model uses a time-aware architecture that processes 200ms interaction windows, enabling seamless interruptions, simultaneous speech, visual cue detection, and live collaborative workflows without requiring separate dialog management systems. TML-Interaction-Small supports capabilities such as real-time conversation, proactive interjections, live translation, visual monitoring, tool usage, browsing, and asynchronous reasoning through coordination with a background model.
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Integrations
API:
Yes, TML-interaction-small offers API access
No integrations listed.
Company Information
Thinking Machines Lab
United States
thinkingmachines.ai/
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Product Details
Platforms Supported
Cloud
Training
Documentation
TML-interaction-small Frequently Asked Questions
Q: What kinds of users and organization types does TML-interaction-small work with?
TML-interaction-small works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does TML-interaction-small support in their product?
TML-interaction-small supports these languages: English.
Q: Does TML-interaction-small have an API?
Yes, TML-interaction-small has an API.
Q: What type of training does TML-interaction-small provide?
TML-interaction-small provides training in the form of documentation.
