Experience a unified platform for vector and traditional search, data exploration, and curation. Effortlessly build efficient AI systems with instant access to raw data, metadata, embeddings, and verified labels.
Quickly curate and explore datasets. Utilize predictions from cutting-edge foundation models to query your data, streamlining your data enrichment process and speeding up curation for both image and text data types.
Gradly offers a seamless alternative to constructing your own traditional and vector database infrastructure. Enhance your AI applications with ready-to-use search capabilities for various formats like images, text, videos, conversations, and documents, incorporating metadata, vector embeddings, and annotations.
Employ built-in natural language search and pre-computed or custom vector embeddings to effortlessly cluster similar data for automated categorization. For maximum precision, opt for human review.
Gain a comprehensive view of your data through detailed analysis of ground truth labels or model predictions. Understand how performance metrics like the F1 score vary across your dataset, aiding in making well-informed decisions for data curation and labeling.
Not every dataset equally influences model performance. Utilize data distribution, model predictions, confidence scores, and similarity searches to curate impactful unlabeled data that will enhance your model's effectiveness.
Avoid delays in data searches and addressing edge cases, which can slow down your team and discussions with stakeholders or clients. Catalog allows for quicker data search and discovery, moving beyond one-off query scripts.
Identify which data most significantly affects model performance. Our active learning workflows and uncertainty sampling allow you to focus on data with low-confidence predictions, ensuring you curate and label the most impactful data, not just more data.
Let’s explore how Gradly can support your product recommendation needs.
