# InsightFinder AI & Observability Blog

## How InsightFinder AI is using a $15M Series B to help customers deliver AI that understands their business
Today we’re announcing $15 million in Series B funding, led by Yu Galaxy, bringing… [Read more](https://insightfinder.com/blog/how-insightfinder-ai-helping-customers-deliver-ai-that-understands-their-business/)

## Prompt comparison for LLMs with multidimensional evaluation
Most teams don’t just “ship a prompt.” They ship behaviors that must hold up… [Read more](https://insightfinder.com/blog/prompt-comparison-for-llms-with-multidimensional-evaluation/)

## InsightFinder 2025 Retrospective: From Observability Insights to Operational Actions
In 2025, the reliability bar kept moving forward. Engineering teams shipped more distributed systems,… [Read more](https://insightfinder.com/blog/observability-insights-to-operational-actions/)

## Why Traditional Observability Fails in AI Production (And What to Do Instead)
AI systems are forcing engineering leaders to confront an uncomfortable reality: the observability practices… [Read more](https://insightfinder.com/blog/why-traditional-observability-fails/)

## OTel me more about using InsightFinder
Teams often presume that trying a new AI observability tool means re-instrumenting code, swapping… [Read more](https://insightfinder.com/blog/opentelemetry-ai-observability/)

## Introducing ARI: InsightFinder’s New Operational Reliability AI Agent
Production reliability is hitting a breaking point. As systems become more distributed and deployments… [Read more](https://insightfinder.com/blog/introducing-ari-the-operational-reliability-agent/)

## InsightFinder’s Patent for Automated Incident Prevention is Granted
InsightFinder has been granted its automation patent which completes its unique closed-loop reliability platform… [Read more](https://insightfinder.com/blog/insightfinders-patent-for-automated-incident-prevention-is-granted/)

## AI Agents: The New Path Forward and How Reliability Catches Up
AI applications are shifting from “answer engines” to “action engines.” The moment an AI… [Read more](https://insightfinder.com/blog/ai-agents-reliability/)

## How to Monitor AI Agents: Reliability Challenges and Observability Best Practices
AI agents represent a shift in how language models are used in production. Unlike… [Read more](https://insightfinder.com/blog/how-to-monitor-ai-agents-reliability-challenges-and-observability-best-practices/)

## Composite AI for IT Observability: Why Generative AI Alone Is Not Enough
Composite AI refers to the use of multiple AI techniques, such as unsupervised learning,… [Read more](https://insightfinder.com/blog/composite-ai-it-observability/)

## What Is Composite AI? A Practical Guide to Reliable and Trustworthy AI Systems
InsightFinder’s Composite AI blends unsupervised ML, predictive drift modeling, causal dependency mapping, and GenAI summaries into one cohesive reliability engine. [Read more](https://insightfinder.com/blog/what-is-composite-ai/)

## Debugging Faster with Distributed Traces in InsightFinder AI Observability Platform
With AI applications, any single request can fan out into session state checks, prompt… [Read more](https://insightfinder.com/blog/debugging-faster-with-distributed-traces-in-insightfinder-ai-observability-platform/)

## Insights for Grafana: From Correlation to Causation with InsightFinder AI
Grafana, the open platform engineers trust to visualize metrics, logs, and traces across distributed… [Read more](https://insightfinder.com/blog/grafana-insightfinder-ai-causal-analysis/)

## Infrastructure Signals Every AI Team Should Monitor to Prevent Outages
AI outages rarely begin as dramatic failures. They tend to emerge quietly, shaped by… [Read more](https://insightfinder.com/blog/infrastructure-signals-ai-outages/)

## Hallucination Root Cause Analysis: How to Diagnose and Prevent LLM Failure Modes
The prevalent view treats LLM hallucinations as unpredictable, sudden failures—a reliable system unexpectedly generating… [Read more](https://insightfinder.com/blog/hallucination-root-cause-analysis-llm-failure-modes/)