LLM observability for OpenAI, Anthropic, Gemini, and more. Log requests and costs with a one-line baseURL swap; no SDK required. Add SDK helpers or OTLP for agent trace trees, then evaluate outputs in one place.
Arya here, founder of Logify360.
I spent 3+ years building scalable Kubernetes infrastructure and fighting cloud cost fires as an SRE engineer. Then AI happened and the fires got worse.
I watched companies deploy LLMs at scale with ZERO cost governance. No budgets. No alerts. No enforcement. Just vibes and a corporate credit card.
Then the headlines started:
š A company woke up to a $500,000,000 Claude bill. One month. No limits.
š„ Uber burned its entire 2026 AI budget by April.
š« Microsoft quietly pulled Claude Code from thousands of engineers.
Every observability tool on the market? Same story. They show you the chart AFTER the bleeding. Langfuse observes. It does not act.
So I built Logify360 to do both. Observe AND Act.
What's live in this beta:
ā Cost enforcement at the gateway level (per team, project, model)
ā SRE agent with human-in-the-loop remediation
ā 9 pillars of observability in one platform (Logs, Metrics, APM, Infra, K8s, Cost, LLM Monitoring, DB, Security)
ā Real-time LLM cost dashboards with token-level analytics
š First 100 users get 3 months of full access - free. No credit card. No watered-down tier.
I'm here all day. Ask me anything.
What's your worst AI cost horror story? š