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Snorkel Custom
AI models and evaluations—delivered by us, specialized with your data.
Snorkel AI experts apply state-of-the-art fine-tuning, alignment, and evaluation techniques to deliver specialized LLMs and fine-grained evaluations which are tailored to specific business, domain, and use case requirements.
Custom model
Build production AI applications on a specialized model which not only meets higher accuracy requirements, but is far less expensive to run.
Custom evaluation
Identify how well a model will perform within the context of a specific domain and business use case, and how it can be improved before going to production.
Accelerate AI delivery with Snorkel Custom
Snorkel Custom provides organizations with an easy way to accelerate the delivery of production-quality models, unlocking AI initiatives such as specialized copilots and chatbots which require a combination of domain knowledge and AI expertise.
Lower cost
Reduce costs by saving months of valuable subject matter expert and data scientist time.
Faster delivery
Move forward with a production-ready model in days or weeks rather than months or years.
Higher quality
Build AI applications on a model which meets production accuracy requirements.
Specialized models built for your use case
Fast track AI initiatives with a production-ready model specialized for your specific domain, business, and use case by taking advantage of the expertise and experience of Snorkel AI scientists and practitioners who continuously develop new methods of adapting LLMs to domain-specific tasks and enterprise constraints.
Any model
Choose any foundation model, whether proprietary or open, such Mistral, Llama 3, and Gemini.
Your data
Leverage private data and SME knowledge, including unstructured documents and chat logs.
Our expertise
Rely on Snorkel AI researchers and experts to fine-tune and align the model so it meets your needs.
Fine-grained LLM evaluations based on your use case
Get actionable insights from an LLM evaluation performed by Snorkel AI experts who will incorporate specific business criteria and domain knowledge, providing you with fine-grained metrics which measure model accuracy in the context of your specific use case.
Key insights
- How accurate is the model?
- How does it compare to others?
- Where is it failing?
- What can be done to improve it?
Request free LLM evaluation
Take advantage of end-to-end expertise
Snorkel Custom engagements begin with a collaborative workshop to understand use case objectives and business requirements, capture core SME knowledge, and identify relevant enterprise data and policies.
Next, Snorkel AI/ML practitioners will apply AI data development principles to curate high-quality training data and fine-tune/align an open model of your choosing with state-of-the-art methods.
Finally, a comprehensive evaluation will be performed to ensure the custom model meets accuracy and compliance requirements.
Optimized inference
Optionally, your custom model can be distilled into one or more small language models which are served by Snorkel via multi-LLM routing to reduce inference costs and provide consistent, improved accuracy.
- Data identification
- Knowledge capture
- Data development
- Fine-tuning and alignment
- Evaluation
- Distillation and deployment
- Inference serving
A proven path to AI success
Wayfair launched an initiative to extract information from millions of product images, but after facing challenges due to poor training data, years of effort estimated to manually label data and a foundation model that made inaccurate, high-confidence predictions, they engaged Snorkel for its AI expertise in building specialized models for production.
Wayfair partnered with Snorkel AI to speed the development of models designed to tackle key challenges in curating and managing their catalog data—and automating improvements across search, marketing, and customer experience.
20+
points higher F1 score
10x
faster model iteration
46
models built in days
