Government AI Generative AIAutomotive AIGovernment AI
With Your Data
Make the best models with the best data. Scale Data Engine leverages your enterprise data, and with Scale Generative AI Platform, safely unlocks the value of AI.
Scale works with Generative AI Companies, U.S. Government Agencies, Enterprises & Startups
Generative AI Architecture
Whether you’re building your own models or applying foundation models to your business, data remains the biggest bottleneck to AI.
Enterprise Generative AI Platform
The only full-stack generative AI platform for your Enterprise, powered by the Scale Data Engine.
Fine-Tuning and RLHF
Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.
Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.
Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.
GENERATIVE AI PROVIDERS WE PARTNER WITH:
Scale Data Engine
For AI teams, Scale Data Engine improves your models by improving your data.
Unearth the most valuable data by intelligently managing your dataset
Scale’s suite of dataset management, testing, model evaluation, and model comparison tools enable you to “label what matters.” Maximize the value of your labeling budget by identifying the highest value data to label, even without ground truth labels.
- Slices (12)
Object Class Distribution
Scale Generative AI Platform
The only full-stack platform for powering your Generative AI strategy—including fine-tuning, prompt engineering, security, model safety, model evaluation, and enterprise apps.
Custom Large Language Models (LLMs)
Fine-tuning, retrieval, and plugins for large language models to improve performance on your most important use cases.
Large Language Model (LLM) App Platform
Spellbook enables you to build, compare, and ship LLM apps in minutes.
|Prompts||I am a very smart computer.|
I am able to extract
parameters from inputs
and outputs. Here are some examples of inputs with their correct outputs extracted.
|I am a very smart computer.|
I am able to, given a
call transcript, predict
whether it contains signs
of insider trading or
not. If there is insider trading, I will output “insider trading”. If there are no signs of insider trading, I will output “not insider trading”. Here are some examples of calls with their correct outputs extracted.
Case Studies & Resources
We've worked with the world's leading AI teams for years, and delivered more high-quality data than anybody else.
Why Is ChatGPT So Good?
Guide to Data Annotation
Customer Case Study
Diffusion Models: A Practical Guide
Open Dataset: Ukraine Damage Identification
Meet Claude: Anthropic’s rival to ChatGPT
Open Dataset: Agreement/Disagreement Dataset of Reddit Interactions
How Much Better Is OpenAI's Newest GPT-3 Model?
Customer Case Study
Toyota Research Institute
Discovering Emerging Short Form Video Trends with Clustering and HiTL
Guide to AI for eCommerce
How OpenAI worked with Scale to build InstructGPT
We have changed the game of AI data—hear it from our customers.
From RLHF to data labeling to model evaluation to enterprise apps, learn from experts why Scale is key to any AI strategy.
The U.S. intelligence community has spent an enormous amount of resources on collection but the sheer volume that returns is a huge problem. Scale’s LLMs are the tool that will allow the IC to finally and fully exploit all of that intelligence that has been collected.
Former Deputy Director of Analysis, Central Intelligence Agency
ChatGPT is a great research capability, but Scale AI’s production-ready LLM not only learned from decades of intelligence collection but also explains how and when it received its mission critical intelligence. That’s an operational imperative to earn commander trust.
Computer Scientist, Air Force Research Laboratory
Scale has a great focus on helping companies improve the quality of their data and the usability of their data. Scale has seen so many different applications of AI across so many different kinds of companies. I think it’s well positioned to help a company assess where it is, what’s the state of its data, what’s the state of its systems, and what kind of capability and preparedness to use sophisticated algorithms.
Retired CEO, Amazon Worldwide Consumer, Amazon Worldwide Consumer
One of the things we love about Scale is the fact that we can fully label the world. We can label 2D bounding boxes, 3D bounding boxes, but also semantic segmentation, including in 3D, to understand as much as possible, including scenarios we don’t foresee today.
Machine Learning Lead, Toyota Research Institute
Thanks to companies like Scale, a lot of these SaaS tools are building intelligent capabilities into their products[...] that’s a path for a lot of companies to get value from AI without becoming AI shops, which is a really formidable challenge
Retired President & COO, Salesforce