> VLM-1
Visual AI for Developers
We are building the next-generation of AI infrastructure for multi-modal understanding.
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.
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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.
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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.