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Power 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
AI for the Enterprise
Generative AI Architecture
GENERATIVE AI PROVIDERS WE PARTNER WITH:
Build AI
Scale Data Engine
RLHF
Powering the next generation of Generative AI.
Scale Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
Data Labeling
The best quality data to fuel the best performing models.
Data Curation
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.
- Overview
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MS COCO
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ITEMS
123289
SLICES
12
AUTOTAGS
0
MODEL RUNS
2
Object Class Distribution
Ground Truth
Apply AI
Scale Generative AI Platform
forge
Automated Advertising
Use the power of Generative AI to create fully automated ad campaigns.
social media / content platforms
Trust and Safety
Unsafe content detection for user-generated content and AI-generated content.
insurance
Claims Intelligence
Predict claims outcomes to reduce settlement time and improve claims management efficiency.
social media / ecommerce
Trend Detection
Automatically identify trends in your content platforms through advanced clustering and content understanding.
instant ml
Vision
Image classification, segmentation, and detection, fine-tuned on your image data.
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METRICS: Mean Average Precision
| CLASS | TEST | TRAIN | VALIDATION | |
|---|---|---|---|---|
| All classes | 10.228% | 0.189% | 17.317% |
Apply AI to Specific Business Challenges:
Learn How We Serve Enterprises Large and Small
Case Studies & Resources
Blog
How OpenAI worked with Scale to build InstructGPT
Blog
Meet Claude: Anthropic’s rival to ChatGPT
Blog
Why Is ChatGPT So Good?
Guide
Diffusion Models: A Practical Guide
Dataset
Open Dataset: Ukraine Damage Identification
Customer Case Study
Toyota Research Institute
Blog
How Much Better Is OpenAI's Newest GPT-3 Model?
Guide
Guide to AI for eCommerce
Customer Case Study
Goodcall
Blog
Discovering Emerging Short Form Video Trends with Clustering and HiTL
Guide
Guide to Data Annotation
Dataset
Open Dataset: Agreement/Disagreement Dataset of Reddit Interactions
Customers
We have changed the game of AI data—hear it from our customers.
“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.”
Morgan Bishop
Computer Scientist, Air Force Research Laboratory
“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.”
Michael Burns
Former Deputy Director of Analysis, Central Intelligence Agency
“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”
Bret Taylor
Retired President & COO, Salesforce
“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.”
Jeff Wilke
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.”
Adrien Gaidon
Machine Learning Lead, Toyota Research Institute