We are developing a real-time AI agent platform that powers fully interactive, lifelike digital humans for enterprise, creative, and educational use cases. Our focus is to automate and enhance the production pipeline for 3D avatars using multi-modal generative AI and LLM agents.
Multi-Agent LLMs:
Our custom LLM system communicates with smaller-scale language models (sLLMs) to act as intelligent, task-performing agents (Machine Customers) across scenarios.
Infrastructure:
We leverage NVIDIA hardware (H100 GPUs) and open-source model architectures to scale our LLM systems for real-time conversation and task resolution.
Data Strategy:
Custom datasets are curated, cleaned, and augmented as needed to match domain-specific conversational contexts.
Image-to-3D Pipeline:
We use Stable Diffusion, Flux AI, and ComfyUI to generate photorealistic image assets for character generation and outfit/texturing.
Custom TTS Voices:
Using advanced AI voice synthesis, we generate tailored speech aligned with each character’s tone and emotional context.
3D Workflow Optimization:
Instead of relying entirely on artists for modeling and rigging, we design a semi-automated AI pipeline to convert essential inputs (photos, scans, or mesh) into rig-ready 3D avatars.
AI Video Enhancement:
To improve graphical fidelity from Unreal Engine outputs, we apply video-to-video AI models that refine animations in real-time or post-production.
We enable users to create and interact with custom characters that are driven by real-time AI agents.
To support natural and expressive interactions, our system requires:
For this, we are building a motion generation model trained on real human motion data, and that’s where your dataset could play a pivotal role.