> VLM-1
Visual AI for Developers
We are building the next-generation of AI infrastructure for multi-modal understanding.
Extract rich and structured data (e.g. JSON) accurately from visual content like images, videos, PDFs or presentations with our unified visual API.
Easily automate visual tasks with strongly-typed and validated outputs.
Fine-tune for specific domains enabling accurate and reliable automation.
Scale your visual automation tasks without rate-limits or large bills.
Deployable on-prem or in private cloud, keeping your private data secure.
Run LLMs and multi-modal models cost-efficiently and scalably on any cloud or AI hardware with NOS, a fast and flexible multi-modal inference server built from the ground-up.
Designed to optimize, serve and auto-scale PyTorch models in prod. without compromise.
Serve multiple foundation models for multiple modalities simultaneously.
Deploy PyTorch models on any AI HW (NVIDIA, AMD, AWS Inf2, GCP TPUs).
Run on any cloud (AWS, GCP, Azure, On-Prem) with our ready-to-use inference containers.
Check out our nos-playground for more examples.