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TruGen’s conversational video agents are built on two proprietary foundation models that work together to deliver human-like, real-time interactions.
Huma-1 avatar model and Hawkeye-1 vision model

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Huma-1 — Expressive Avatar Model

Huma-1 is TruGen’s neural avatar renderer. It generates photorealistic video frames synchronized with speech, producing lifelike facial expressions, micro-expressions, lip sync, gaze direction, and emotional nuance in real time. Best for
  • Face-to-face conversational agents where realism matters
  • Multi-language avatars that must maintain natural expression across accents
  • Interactive product demos, interviews, coaching, and support experiences
Key characteristics

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Hawkeye-1 — Vision Action Recognition Model

Hawkeye-1 is TruGen’s vision layer. It continuously analyzes the user’s video stream to understand appearance, environment, screen shares, and visual cues, feeding this context into the LLM so responses stay grounded in what the agent can actually see. Best for
  • Agents that must react to user actions (holding up a document, pointing at a screen)
  • Multimodal experiences where context beyond audio matters
  • Screen-share aware assistants and visual troubleshooting flows
Key characteristics

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How they work together

The two models are complementary — Hawkeye-1 handles perception (what the agent sees), and Huma-1 handles expression (how the agent responds). Combined with the pipeline’s STT, LLM, and TTS stages, they enable agents that see, hear, understand, and respond with sub-second latency.

Pipeline Architecture

See how Huma-1 and Hawkeye-1 fit into the end-to-end conversational pipeline.

Create an Agent

Spin up your first agent using these models.