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Model Foundry
Automate data labeling and enrichment with foundation models
Let foundation models do the work
We are bringing together the world's best AI models to help you perform data labeling and enrichment tasks across all supported data modalities. Achieve breakthroughs in data generation speed and costs. Re-focus human efforts on quality assurance.
Use large language models to pre-label data
Use large language models offered by leading providers or open source alternatives, to perform data labeling tasks on text, documents, HTML or conversational data at a fraction of the cost and speed. Supported data labeling tasks include classification, entity extraction, summarization, transcription, and question & answering use cases.
Apply models to supercharge data enrichment
Accelerate data curation and mine edge cases by pre-labeling and enriching images and videos using state-of-the-art AI models such as Segment Anything, BLIP, or YOLOv8. Quickly extract insights and achieve remarkable performance across classification, object detection, and segmentation use cases.
Use models as a copilot with subject matter experts
Combine the power of foundation models with human-in-the-loop review to accelerate your labeling operations. No more labeling from scratch – foundation models such as GPT-4 can outperform crowd-sourced labeling on various tasks with high accuracy – focus valuable human efforts on critical review.
Compare models to achieve the best performance
Experiment with foundation models in a no-code environment to easily compare and A/B test performance across models, prompts and hyper parameters. Select the model that performs the best on your data and continuously improve and scale your model performance.
Frequently asked questions
Who gets access to the Model Foundry?
To use Model Foundry once available, you will need to be a part of our Starter, Standard, or Enterprise plans.
You will be billed monthly for the compute costs associated with models run on your data in Labelbox. Learn more about how to upgrade to a pay-as-you-go Starter plan or about our Labelbox Unit pricing.
Join the waitlist to receive more detailed instructions on how to create a Labelbox Starter account or upgrade to our Starter tier.
How will it be priced?
Only pay for the models that you want to pre-label or enrich your data with. Model Foundry pricing will be calculated and billed monthly based on the following:
Inference cost - this will vary based on the model and is determined based on compute time or vendor API cost (third-party models). The cost of each model can be found in the product before model selection.
Labelbox's platform cost - each asset with predictions generated by Model Foundry will accrue one LBU in Model.
To use Model Foundry once available, you will need to be a part of our Starter, Standard, or Enterprise plans. Learn more about how to upgrade to a pay-as-you-go Starter plan or about our Labelbox Unit pricing.
What kind of models will be available?
Model Foundry will feature various public and private models across CV and NLP use cases. These include popular open-source models such as SAM, YOLOV8, OWL-VIT, DistillBert, and GPT-J, as well as popular models from Google, OpenAI, Databricks, Anthropic, and more.
You will soon have the option to bring your own model to Labelbox – register your own custom models to pre-label or enrich your datasets.
When will I get off the waitlist?
We will start giving early access in the coming weeks. Priority will be given to paid customers.
Where can I learn more?
Keep an eye out on our blog — over the next few weeks we will be following up with more content related to Model Foundry. To learn more and become notified about the upcoming beta, sign up to join the waitlist