Observability for the AI Era
See, predict, and operate modern infrastructure, including AI workloads, before issues impact users or revenue.
Active, behavior-first observability
Normalized data at ingestion
~70% alert noise reduction
Active, behavior-first observability
Active, behavior-first observability
Normalized data at ingestion
Normalized data at ingestion
~70% alert noise reduction
~70% alert noise reduction
PLATFORM
The Parlon Difference
Unified infrastructure, application, and AI-driven workflows in one predictive system.
LLM-Aware Synthetic Testing
LLM-Aware Synthetic Testing
Actively tests AI workflows, not just endpoints
Actively tests AI workflows, not just endpoints
Predictive, Not Reactive
Predictive, Not Reactive
Anomalies, drift, and root cause before incidents
Anomalies, drift, and root cause before incidents
Modern, Normalized Data Fabric
Modern, Normalized Data Fabric
Normalized, contextualized telemetry across infra, apps, and AI
Normalized, contextualized telemetry across infra, apps, and AI
Fast, Flexible Deployment
Fast, Flexible Deployment
SaaS, on-premise, hybrid, MSP-ready
SaaS, on-premise, hybrid, MSP-ready
LLM-Aware Synthetic Testing
Actively tests AI workflows, not just endpoints
Predictive, Not Reactive
Anomalies, drift, and root cause before incidents
Modern, Normalized Data Fabric
Normalized, contextualized telemetry across infra, apps, and AI
Fast, Flexible Deployment
SaaS, on-premise, hybrid, MSP-ready
LLM-Aware Synthetic Testing
Actively tests AI workflows, not just endpoints
Predictive, Not Reactive
Anomalies, drift, and root cause before incidents
Modern, Normalized Data Fabric
Normalized, contextualized telemetry across infra, apps, and AI
Fast, Flexible Deployment
SaaS, on-premise, hybrid, MSP-ready
ARCHITECTURE
How Parlon Works
ARCHITECTURE
How Parlon Works
From raw telemetry to actionable foresight in five stages. Data is normalized at ingestion, not correlated after the fact.
Collect
Infrastructure, apps, AI/LLM workflows
Normalize
Unified telemetry fabric at ingestion
Analyze
Anomaly detection and predictive insights
Visualize
Dashboards and actionable alerts
Export
SIEMs, compliance, and downstream tools
From raw telemetry to actionable foresight in five stages. Data is normalized at ingestion, not correlated after the fact.
WHY NOW
Infractructure Has Changed.
Observability Hasn't.
Infractructure Has Changed.
Observability Hasn't.
Infractructure Has Changed.
Observability Hasn't.
Legacy platforms were built for static, pre-cloud environments. Modern distributed systems demand a fundamentally different approach.
Legacy platforms were built for static, pre-cloud environments. Modern distributed systems demand a fundamentally different approach.
41% of enterprises report downtime costs exceeding $1M per hour
76 average disruptions per month across organizations
74% of network teams considering replacing a core management tool
94% of engineers and IT leaders are already using AI in their workflows
41%
41%
of enterprises report downtime costs exceeding $1M per hour
76
76
average disruptions per month across organizations
74%
74%
of network teams considering replacing a core management tool
94%
94%
of engineers and IT leaders are already using AI in their workflows
of engineers and IT leaders are already using AI in their workflows
READY TO SEE MORE?
See Everything. Miss Nothing.
See Everything. Miss Nothing.
The future of observability: simple, powerful, and predictive. Let's talk about what Parlon can do for your infrastructure.
Parlon, Inc.
One Mifflin Place
Suite 400 - #610
Cambridge, MA 02138
Parlon, Inc.
One Mifflin Place
Suite 400 - #610
Cambridge, MA 02138
Parlon, Inc.
One Mifflin Place
Suite 400 - #610
Cambridge, MA 02138
Parlon, Inc.
One Mifflin Place
Suite 400 - #610
Cambridge, MA 02138