Who it is built for
- AI researchers and developers building domain-specific systems
- Teams creating labeled datasets from unstructured data
- Organizations evaluating LLM behavior and benchmark performance
Human-centered platform for AI data and evaluations
Anote is a human-centered AI platform for creating labeled datasets, improving domain-specific models, and evaluating AI systems. It combines annotation workflows and human feedback with fine-tuning, benchmarks, synthetic data, and developer tools for teams building reliable AI applications.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Users upload structured or unstructured data, label examples, and use active learning to generate predictions for remaining records.
Anote provides benchmarks and evaluation workflows for classification, question answering, and named entity recognition models.
The platform includes SDK and API workflows for training, predicting with, and evaluating large language models.
Upload a dataset or connect a source, select the task type, and define the labels, entities, or questions that matter. Annotate representative examples and edge cases, then use Anote's active-learning workflow to generate predictions, review outputs, and export labels or deploy an API endpoint.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.