How Enterprises are using Multimodal Models in production with Fireworks

Enterprises process large amounts of unstructured data, including scanned text, tables, charts, and images. Multimodal models allow enterprises to extract information and insights from their data faster and more easily than ever, without needing large inhouse AI teams or managing complex ML infrastructure. Read on to learn how enterprises are deploying multimodal models with Fireworks in production use cases!

👉 Try Llama 3.2 11B, Llama 3.2 90B and other multimodal models on Fireworks. We’re also launching the ability to fine-tune multimodal models on Fireworks very soon!

Major healthcare and insurance companies use Fireworks to process medical records in real-time, at higher accuracy, 100x lower cost and 1.5x faster speed than GPT-4o.

Fireworks worked with major healthcare and insurance companies to enable efficient, real-time processing and analysis of vast amounts of medical and insurance records to extract key data points and insights. The sheer volume and complexity of these records made it difficult to classify and extract data quickly and accurately.

Fireworks helped customers fine-tune and deploy multimodal models on Fireworks' industry-leading inference stack, using Fireworks On-Demand and Reserved deployments. Fireworks also helped customers generate synthetic data, and deploy data pipelines that included document layout models and leveraged structured output generation and long-context models for higher accuracy.

Fireworks helped customers achieve high document processing accuracy on hundreds of documents in seconds, with higher accuracy, 100x lower cost and 1.5x faster speed than GPT-4o. Fireworks’ solutions enabled real-time processing of medical and insurance records that were impossible at scale with GPT-4o based solutions.

👉 Contact Fireworks today to discover how our AI solutions can drive your enterprise forward.

AlliumAI uses Fireworks Serverless to help retailers boost e-commerce sales by extracting and structuring product catalog data in real-time with high cost-efficiency

AlliumAI helps e-commerce companies boost sales and delight customers with accurate, structured product catalog information customized to their needs. This involves extracting detailed product information from tens of thousands of product images with high accuracy and cost-efficiency.

AlliumAI leverages open source multimodal models on Fireworks Serverless to quickly and easily create, extract and structure data from product images and existing data with no setup cost and time, and at highly competitive prices with no extra cost compared to similarly sized text-only language models.

"Fireworks Serverless pricing has been a game changer for our cost structure and the platform dramatically reduces the time and complexity to deploy models. In addition, Fireworks allows us the ability to deploy dozens of fine-tuned LoRA models and only be charged for what is actually used, so we can provide superior quality, customized data solutions for our customers at scale and much lower cost." - Daniel DeMillard, CEO of AlliumAI

👉 Get started with querying our multimodal models, including Llama 3.2 11B and Llama 3.2 90B, on Fireworks Serverless today. Join our Discord channel to connect with other developers and the Fireworks team.

Fireworks can help you achieve your business goals

These examples highlight the power of Fireworks' multimodal solutions for enterprises. By leveraging our technology, businesses can:

• Process large volumes of unstructured data with unparalleled speed and accuracy
• Extract valuable insights from complex documents and images
• Reduce costs while improving speed and operational efficiency
• Scale their capabilities to meet growing demands

👉 Start building with multimodal models!

• Query multimodal models: Follow our guide to start querying multimodal models on Fireworks Serverless.
• Join our community: Join our Discord channel to connect with other developers and the Fireworks team.
• Contact us: Reach out to discuss how we can help you leverage multimodal models for your use case.