DatologyAI

Scale Data Engine helps ML teams build better datasets. Bring together your data, ground truth, and model predictions to effortlessly fix model failures and data quality issues. Optimize your labeling spend by identifying class imbalance, errors, and edge cases in your data with Scale Data Engine. Significantly improve model performance by uncovering and fixing model failures. Find and label high-value data by curating unlabeled data with active learning and edge case mining. Curate the best datasets by collaborating with ML engineers, labelers, and data ops on the same platform. Easily visualize and explore your data to quickly find edge cases that need labeling. Check how well your models are performing and always ship the best one. Easily view your data, metadata, and aggregate statistics with rich overlays, using our powerful UI. Scale Data Engine supports visualization of images, videos, and lidar scenes, overlaid with all associated labels, predictions, and metadata.

Hire our generative AI agents to give customers a mind-blowing experience. Trusted by massive enterprises and high-growth startups. 100% generative responses and actions, with no complex decision trees or canned responses needed. Zero-lift integrations with your existing tools and data sources. Maximize the AI's potential using your knowledge bases, APIs, and workflows. Supercharge your team with an AI helper that will do the heavy lifting on mundane tasks and continuously learn from agents. Identify themes, find anomalies, and unlock your own analyses over your valuable conversations. Turn your support operation into a growth driver and scale revenue without scaling headcount. Decagon's production services are hosted on leading cloud infrastructure providers like Amazon AWS. We use Amazon's Virtual Private Cloud to protect our network perimeter in addition to web application firewalls and regular vulnerability scanning.