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Damjan Danoleft a comment
Hey PH 👋 Hunted this one because I've been using it on some of our products like Aqtos and is solving a big painpoint for us, especially on multi tenant cost and error handling analysis. With just one line of code - tracium.trace() - Tracium.ai gets you full observability across your LLM calls, agents, and tool chains. Costs, errors, latency, drift. No config hell or complex dashboards. If...
Tracium.aiTrack AI Agents with a single line of code
Tracium is a developer-first observability layer for AI systems. It lets you track costs, trace requests, debug failures, compare prompts and models, and detect drift in real time, all across models, tools, and agents, in one place.
Useful AI observability without complex setup, availabile in minutes and built for developers.
Tracium.aiTrack AI Agents with a single line of code
Damjan Danoleft a comment
Great team, awesome product!
Microtica AI Incident InvestigatorAn AI Agent that tells you why your systems break
We built this website to assist all of you seeking wisdom on one of the hardest startup questions: to raise venture capital (VC) or not. The web is a curated selection of influential voices on the topic to help you make an informed decision.
To VC or NOT QuadrantCurated selection of "To VC or Not" influential voices
Damjan Danoleft a comment
Just sharing something I believe is a useful resource for all of you founders out there being on the crossroad of "To VC or NOT to VC". To VC or Not to VC was built while seeking reasoning for our own funding decisions at https://Aqtos.com, and wanted to pay it forward for the ones facing the same question.
To VC or NOT QuadrantCurated selection of "To VC or Not" influential voices