Optimize LLMs For Your Most Important Use Cases

Unlock the full potential of Large Language Models (LLMs) with our advanced Retrieval Augmented Generation (RAG) pipelines, state-of-the-art testing and evaluation platform, and industry-leading expertise in machine learning. Optimize LLM performance to address your specific domain needs effectively

Advanced Retrieval Augmented Generation (RAG) Pipelines

Our cutting-edge RAG pipelines empower your Large Language Models (LLMs) with advanced retrieval augmented generation capabilities. This ensures that your AI systems have access to the most relevant information, enhancing their performance for your domain-specific use cases.

State-of-the-Art Test and Evaluation Platform

Benefit from our state-of-the-art test and evaluation platform designed to assess and optimize LLM performance. With comprehensive testing methodologies and advanced evaluation metrics, we ensure that your AI systems meet the highest standards of quality and efficiency.

Industry-Leading ML Expertise

Leverage our industry-leading machine learning (ML) expertise to fine-tune your LLMs for optimal performance. Our team of ML specialists provides the insights and support you need to tailor your AI solutions to address the unique challenges of your domain-specific use cases.

Your Data, Any Model, Your Cloud

Supercharge and expand your Generative AI journey with our comprehensive platform. Build, test, and deploy enterprise-ready Generative AI applications tailored to your specific needs and powered by your data. Empower your entire organization to develop optimized solutions using your data, leveraging any model, on your preferred cloud infrastructure

Your Data

Begin optimizing LLMs by leveraging your data. Easily connect to popular data sources and utilize the Scale Data Engine to transform your data. Implement optimized RAG pipelines and models fine-tuned for your domain-specific tasks.

Any Model

Tailor, test, and deploy a wide range of closed and open-source foundation, embedding, and reranking models from leading providers such as OpenAI, Cohere, Meta, and many others.

Your Cloud

Safely customize and deploy enterprise-grade Generative AI applications within your own Virtual Private Cloud (VPC), including AWS and Azure environments. Now accessible on the Azure Marketplace.

Advanced Retrieval Augmented Generation (RAG) Tools

• LLMs can precisely reference your knowledge base using Scale’s tools for optimized Retrieval Augmented Generation (RAG).
• Effortlessly transform knowledge base data into embeddings to act as long-term memory, facilitating model retrieval.
• Our comprehensive toolset includes data connectors, custom embedding models, vector stores, chunk summarization, chunk and metadata extraction, advanced reranking, and fine-tuning for RAG and rerankers.

Test and Evaluate Generative AI Applications

• Enhance your application’s performance by experimenting with various data sets, prompts, RAG pipelines, models, and fine-tuning techniques.
• Compare and assess base models alongside customized completion, embedding, and reranking models to identify the optimal model combination for your specific use case.
• Conduct automated and human-in-the-loop benchmarking to evaluate the performance, reliability, and safety of your customized models or entire Generative AI applications.
• Effortlessly create and manage test cases, define evaluation metrics, conduct evaluations with subject matter experts, and analyze evaluation results.

Custom Model Builder

• Refine LLMs using your proprietary data or expert data from Scale to enhance performance and reliability for your specific use cases, all while minimizing latency and token consumption.
• Select from a variety of top-tier closed or open-source foundation models, including OpenAI’s GPT-4, Cohere’s Command, and Meta’s Llama 3.
• Utilize the Scale Data Engine to preprocess your data and generate top-quality training data tailored to any use case.

Enterprise-Ready

• Safely customize and deploy Generative AI applications within your own Virtual Private Cloud (VPC), whether on AWS or Azure.
• Enjoy built-in enterprise-grade Role-Based Access Control (RBAC) and SAML Single Sign-On (SSO) for added security.
• Efficiently manage API keys centrally, ensuring secure access to your applications.