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AI Observability Platform for Agents, LLMs, and ML Models
What is an AI observability platform? An AI observability platform gives teams visibility into how AI agents, LLMs, and ML models behave in production, tracking performance, cost, data quality, and safety. InsightFinder’s AI observability platform goes further, closing the loop between production signals and continuous model improvement.
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Run Reliable AI in Production
InsightFinder is the AI observability platform for teams putting agents, LLMs, and ML models into production. You get one place to build, evaluate, deploy, and continuously improve them, so reliability keeps pace with how fast you ship.
Most general-purpose models don’t know your systems, your workflows, or what “normal” looks like for your business. InsightFinder captures real-world production signals and uses them to adapt AI to your context.
The Problem With Fragmented AI Toolchains
Shipping AI into production exposes a gap that traditional monitoring doesn’t cover. Agents hand off tasks, prompts drift, models hallucinate, and data quality slips, often with no error code and no red dashboard.
Point tools make this worse. One tool evaluates prompts, another routes traffic, a third watches for drift, and none of them share a feedback loop. That gray area, where a model meets your real workflows, is where unpredictable behavior turns into reputational risk. You need an AI observability platform that watches production and feeds what it learns back into your models.
InsightFinder's AI Observability Platform Features
Multi-agent tracing
Get end-to-end visibility into multi-agent workflows through distributed tracing built for agentic systems. Trace every step across agents, tools, and handoffs in one view, and surface performance anomalies, token consumption, and failed evaluations in context.
LLM Prompt Comparison
Compare prompt performance across multiple LLMs. Version prompt packs, run side-by-side tests, and evaluate failures, execution time, token cost, and success rates before you commit a prompt to production.
Model Fine Tuning
Turn failed prompts into a continuous improvement loop. InsightFinder generates training datasets from real-world failures and runs reinforcement learning jobs that adapt foundational models into custom, domain-tuned models.
LLM Labs
Evaluate models in a controlled workbench. Test candidate models against your prompt packs and apply guardrails for bias, hallucination, safety, and relevance so you can pick the right model with evidence.
AI Gateway
Route and govern production traffic from one place. The LLM Gateway recovers automatically from foundational model outages and routes intelligently based on response time, cost, and token limits. It also applies continuous guardrails covering 15+ safety measures.
LLM Observability
Manage all your LLMs in one place with monitoring for performance, cost, and trust. Track input and output token usage, response times, change events, failed evaluations, and behavior, then use LLM traces to drill into individual prompts.
Data Integrity Insights
Catch data problems before they reach your models. Data Integrity Insights detects missing data, field type mismatches, outliers, and custom conditions across any dataset. It traces issues to their source and tracks trends over time.
ML Observability
Monitor traditional ML models for data drift, concept drift, and feature-level bias. Use local and global explainability with SHAP values, plus built-in root cause analysis and auto-remediation to keep models accurate in production.
Key Capabilities
Flexible Deployment options
SaaS
On Premise
Co-Pilot
Query and drill into model, LLM, and system data
Troubleshoot models and perform full root cause analysis
Fast Onboarding
Model Management: simple model setup, definition + its associated model data
Integrations: onboard Model Data from Open Telemetry, Elastic, Prometheus, Google BigQuery
Add workbench for each use case in minutes
Model Monitoring
Out-of-the-box monitors for data & model drift, LLM Trust & Safety, LLM performance, model data quality, and more
Automatic detection of model drift, model performance and model accuracy anomalies
Unified observability across LLMs and ML models
IFTracer SDK for collecting streaming prompt data (traces and spans)
Notifications via email for health/performance for each monitor.
Workbench
Analyze anomalies and perform deep-dive analysis
Trace Viewer for inspecting LLM traces with anomaly signals
Prompt Viewer for identifying anomalous or high-risk prompts
Charts with flexible filtering for fast diagnosis
Compare models, anomalies, cost
Timeline view to analyze when anomalies occur, deliver root cause analysis, and morе
Instant workbench creation for each use case
Dashboards
Tailored dashboards for LLM and ML models
Data quality, model drift, total model performance (ML)
Token consumption, malicious prompt identification (LLM), cost
Analyze model drift using PSI or distance metrics
LLM Insights Dashboard for model usage & consumption, model health & performance
LLM Labs
Compare foundational and open-source LLM models
Host open-source models during evaluation
Evaluate hallucination, safety, relevance, and irrelevance
Apply LLM Guardrails and evaluations
Batch prompt processing and A/B testing
Model fine tuning
LLM Gateway
Model resilience – automatic recovery from foundational model outages
Overcome rate limits
Intelligence routing between models based on response time, cost, token limits
LLM Guardrails – continuous safety checks for 15+ measures
Model hosting for production open-source LLMs
Model Context Protocol (MCP) Server
LLMs interact directly with the InsightFinder platform
AI tools tap directly into incidents, log anomalies, and metric anomalies through secure, natural language queries
Easy Integrations
InsightFinder AI’s anomaly detection, root cause analysis, and incident predictions integrate easily into the leading Observability platforms – bringing high-power AI-powered analysis to your existing Observability and Monitoring environment.
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SageMaker
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Snowflake
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Google Big Query
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Databricks
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Temporal
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OpenAI
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Anthropic
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Gemini
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