Launching today
Trackion
AI spend visibility across models, workflows & teams.
4 followers
AI spend visibility across models, workflows & teams.
4 followers
Trackion gives AI-native teams complete visibility into where every AI dollar goes. Most AI companies know their monthly API bill but not which features, models or workflows are driving it. Trackion connects the dots, helping engineering teams monitor AI spend across providers, identify hidden cost drivers, detect unusual usage, forecast future costs and make confident scaling decisions. Built for startups using OpenAI, Claude, Gemini and other leading AI models.
How does the forecasting actually work in practice, does it just extrapolate from past usage or does it factor in things like planned model switches or new feature rollouts?
How does this handle multi-provider attribution when a single feature calls several models in the same workflow, like OpenAI for embeddings and Claude for the final response?
Finally something that shows which feature is actually eating my OpenAI budget. Set it up in about ten minutes and spotted a runaway workflow I had no idea about.