Compare SaaS Products

We're building the core infrastructure that engineers rely on to continuously trace, evaluate, and improve AI agents. We ingest a billion LLM logs every month to enable some of the best AI teams to ship amazing products, including 70+ YC startups. Monitor and debug: - Request logging with full text search to monitor AI in prod - LLM agent tracing to debug workflows with ease - Metrics dashboard to understand usage, cost, latency, and get product growth metrics - User analytics to learn how every user is using your product Build and iterate: - Collaborative prompt management - Playground for 350+ models - Model gateway with OpenAI/Anthropic API interface - Eval & experiments

At Lilac, we automate the person taking order at the drive thru with a voice AI. We're building this for Quick Service Restaurants (QSRs) dealing with an historical labor shortage and rising wages. Previous attempts at drive-thru voice ordering are costly to implement and have failed to deliver the accuracy and latency needed. It's now possible to build a voice interface that passes the threshold for a great customer experience. In the United States, there are 200,000 Drive-Thrus handling 6 Billion visits a year. At 3 minutes per order, that's 34,000 human years spent on taking orders annually. Per location, on average we can deliver around $100,000 of value in terms of labor savings, upsell revenue lift, and training costs.