Fireworks AI has raised $250 million in Series C funding to advance enterprise artificial intelligence, particularly through the integration of NVIDIA's Nemotron Nano2 VL model. This cutting-edge vision language model (VLM) is designed to enhance document intelligence and video understanding applications by combining a large language model (LLM) with a vision encoder, allowing AI systems to extract and interpret information across multiple modalities such as text, images, tables, and video. Nemotron Nano2 VL's capabilities include high accuracy in tasks such as optical character recognition, chart reasoning, and video comprehension, making it a versatile tool for automating workflows in industries like finance, healthcare, and government. The model's efficient Mamba-Transformer architecture and open-source nature provide flexibility and cost-effective scalability, as demonstrated by its success in automating invoice processing with over 90% accuracy. Fireworks AI offers resources to help users deploy this technology and unlock insights from complex documents and multimedia content, thereby reducing operational costs and enhancing productivity.