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BUILD AI YOUR USERS TRUST Powerful observability, analytics, and evaluation for your AI-powered products. Contact Us TRUSTED BY AI-FIRST COMPANIES CAPTURE, ANALYZE, IMPROVE 01 / 05 CAPTURE ALL OF YOUR AI PRODUCT DATA Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback. 02 / 05 ANALYZE MODEL PERFORMANCE Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases. 03 / 05 IMPROVE YOUR MODEL USING USER FEEDBACK The best models are built on user data. Programmatically gather unusual or underperforming examples to retrain your model. 04 / 05 TEST AI LIKE YOU TEST SOFTWARE Stop manually reviewing thousands of outputs when changing your prompt or model. Evaluate your LLM-powered apps programmatically. 05 / 05 ROLL OUT CHANGES SAFELY Detect and fix degradations quickly. Monitor new deployments in real-time and seamlessly edit the version of your app your users interact with. Contact Us YOUR MODELS. YOUR DATA. ENTERPRISE-READY. BRING YOUR OWN MODELS AND DATA Connect your self-hosted or third-party model and your existing data sources. SCALE EFFORTLESSLY Process enterprise-scale data with our serverless streaming dataflow engine. SECURE YOUR DATA Gantry is SOC-2 compliant and built with enterprise-grade authentication. Contact Us WHAT CUSTOMERS ARE SAYING “With Gantry’s help, we’ve been able to falsify hypotheses in record time and that has allowed us to direct our product development with speed and confidence. ” Karolus Sariola CTO "Gantry gets me fast, fine-grained insights into my models’ behavior. I can explore right in Gantry’s UI, and then pull down the data for a deeper dive or more modeling." David Adamson Staff ML Engineer LATEST UPDATES See all Artificial Intelligence Toward Test-Driven Development for LLMs As LLMs mature, we need structured approaches to develop with them as a team. In this post, we’ll explore a framework for test-driven development of LLM-powered applications. TDD for LLMs can lead not only to faster development time and fewer errors, but also create a virtuous cycle of continuous improvement of the model as more undesirable behaviors are detected and folded into the tests Evaluations How to teach an old model new tricks Part of an ongoing series highlighting insights from papers that have contributed to the development of best practices for production ML Artificial Intelligence Putting Responsible AI into Practice Part of an ongoing series highlighting insights from papers that have contributed to the development of best practices for production ML Developer Platform How to measure language model performance Part of an ongoing series highlighting insights from papers that have contributed to the development of best practices for production ML GET STARTED TODAY Contact Us * Company * About * Careers * Contact * Resources * Blog * Legal * Terms of Use * Privacy Policy © Gantry 2023 * AboutBlogCareersContact Contact Us Log In Contact Us Click for sound 4:53