Hi all — I’m building VantaAI, a privacy-first emotionally intelligent assistant that learns, remembers, and adapts entirely offline.
Powered by a Vulkan-native backend (WhiteV2) and trained through live emotional feedback loops, Vanta evolves over time based on user sentiment, memory patterns, and behavior modeling.
Unlike traditional LLM stacks, we’ve gone full GPU-level custom — no PyTorch, no CUDA, no remote API calls.
We’re preparing for our first public demo, and I’d love to connect with others exploring:
- Local AI autonomy
- Sentiment + emotional adaptation
- Real-time fine-tuning pipelines
- Model quantization and GGUF workflows
Any feedback or advice on optimizing WhiteV2 for NVIDIA architectures (H100, A100, or RTX) is super appreciated.
More updates soon.
— Michael
https://vantaai.dev