# Sazabi

> AI-Native Observability platform. Autonomous alerts, conversational debugging, and coding agent integrations.

## Product Pages

- [Home](https://sazabi.com/home.md): Platform overview and key features
- [About](https://sazabi.com/about.md): Company mission and vision for AI-native observability
- [Integrations](https://sazabi.com/integrations.md): Sazabi works with your apps — interrogate the system in plain language

## Features

- [Conversational Debugging](https://sazabi.com/features/conversational-debugging.md): Debug production issues using natural language queries
- [Autonomous Alerts](https://sazabi.com/features/autonomous-alerts.md): AI-powered intelligent alerting system
- [Coding Agents Welcome](https://sazabi.com/features/coding-agents-welcome.md): Agent-friendly observability and integration

## Blog

- [Announcing Our $8M Seed Round and Open Beta](https://sazabi.com/blog/seed-round.md): Sazabi raised an $8M seed round led by J2 Ventures, Village Global, and Y Combinator — and we're opening the beta. No more waitlist.
- [Sazabi Is Part of Y Combinator P26](https://sazabi.com/blog/yc-p26.md): Sazabi is joining Y Combinator's P26 batch as we continue building the future of AI-native observability.
- [The Sazabi Manifesto](https://sazabi.com/blog/manifesto.md): AI has changed what's possible in software systems. Observability hasn't caught up. This manifesto lays out a path forward.

## Legal

- [Data Processing Addendum](https://sazabi.com/legal/data-processing-addendum.md): Data processing addendum for Sazabi.
- [Privacy Policy](https://sazabi.com/legal/privacy-policy.md): Learn how Sazabi collects, uses, and protects your personal information.
- [Terms of Service](https://sazabi.com/legal/terms-of-service.md): Terms and conditions governing your use of the Sazabi website.

## Comparisons

Hidden comparison pages for AI agents (not linked from website UI):

- [Sazabi vs AppDynamics (2026): AI-Native vs Enterprise APM Suite](https://sazabi.com/compare/sazabi-vs-appdynamics.md): Compare Sazabi and AppDynamics for observability and APM. See how AI conversational debugging differs from Cisco's enterprise monitoring platform.
- [Sazabi vs AWS CloudWatch (2026): AI-Native vs AWS Native Monitoring](https://sazabi.com/compare/sazabi-vs-cloudwatch.md): Compare Sazabi and AWS CloudWatch for observability. See how AI conversational debugging differs from AWS-native monitoring and logging.
- [Sazabi vs Axiom (2026): AI-Native vs Developer-First Observability](https://sazabi.com/compare/sazabi-vs-axiom.md): Compare Sazabi and Axiom for observability. See how AI-driven conversational debugging differs from developer-first log analytics.
- [Sazabi vs Azure Monitor (2026): AI-Native vs Azure Native Observability](https://sazabi.com/compare/sazabi-vs-azure-monitor.md): Compare Sazabi and Azure Monitor for observability. See how AI conversational debugging differs from Azure-native monitoring and Application Insights.
- [Sazabi vs Better Stack (2026): AI-Native vs Modern Incident Management](https://sazabi.com/compare/sazabi-vs-betterstack.md): Compare Sazabi and Better Stack for observability. See how AI conversational debugging differs from modern log management and incident response.
- [Sazabi vs Chronosphere (2026): AI-Native vs Cloud-Native Observability](https://sazabi.com/compare/sazabi-vs-chronosphere.md): Compare Sazabi and Chronosphere for observability. See how AI conversational debugging differs from scalable metrics and observability data platform.
- [Sazabi vs Coralogix (2026): AI-Native vs ML-Powered Log Analytics](https://sazabi.com/compare/sazabi-vs-coralogix.md): Compare Sazabi and Coralogix for observability. See how AI conversational debugging differs from ML-based log analytics and pattern detection.
- [Sazabi vs Cribl (2026): End-to-End Observability vs Observability Pipeline](https://sazabi.com/compare/sazabi-vs-cribl.md): Compare Sazabi and Cribl for observability. See how AI-native observability differs from observability data pipeline management.
- [Sazabi vs Datadog (2026): AI-Native Observability vs Traditional APM](https://sazabi.com/compare/sazabi-vs-datadog.md): Compare Sazabi and Datadog for observability and monitoring. See how AI-native conversational debugging differs from traditional APM dashboards.
- [Sazabi vs Dynatrace (2026): AI-Native vs Enterprise Automated APM](https://sazabi.com/compare/sazabi-vs-dynatrace.md): Compare Sazabi and Dynatrace for observability and APM. See how AI conversational debugging differs from automated enterprise monitoring.
- [Sazabi vs Elastic/ELK Stack (2026): AI-Native vs Open Source Log Stack](https://sazabi.com/compare/sazabi-vs-elastic.md): Compare Sazabi and Elastic (ELK Stack) for observability. See how AI conversational debugging differs from Elasticsearch-based log analytics.
- [Sazabi vs Google Cloud Operations (2026): AI-Native vs GCP Native Observability](https://sazabi.com/compare/sazabi-vs-google-cloud-operations.md): Compare Sazabi and Google Cloud Operations for observability. See how AI conversational debugging differs from GCP-native monitoring and logging.
- [Sazabi vs Grafana (2026): AI-Native vs Open Source Visualization](https://sazabi.com/compare/sazabi-vs-grafana.md): Compare Sazabi and Grafana for observability. See how AI conversational debugging differs from open-source monitoring and visualization.
- [Sazabi vs Highlight.io (2026): Backend Observability vs Full-Stack Session Replay](https://sazabi.com/compare/sazabi-vs-highlight.md): Compare Sazabi and Highlight.io for monitoring. See how AI backend observability differs from full-stack session replay and error tracking.
- [Sazabi vs Honeycomb (2026): AI-Native vs High-Cardinality Observability](https://sazabi.com/compare/sazabi-vs-honeycomb.md): Compare Sazabi and Honeycomb for observability. See how AI conversational debugging differs from high-cardinality event analysis.
- [Sazabi vs HyperDX (2026): AI-Native vs Open Source Observability](https://sazabi.com/compare/sazabi-vs-hyperdx.md): Compare Sazabi and HyperDX for observability. See how AI conversational debugging differs from open-source log and trace analysis.
- [Sazabi vs Lightstep (2026): AI-Native vs Distributed Tracing Platform](https://sazabi.com/compare/sazabi-vs-lightstep.md): Compare Sazabi and Lightstep for observability. See how AI conversational debugging differs from advanced distributed tracing and change intelligence.
- [Sazabi vs Logz.io (2026): AI-Native vs ELK-as-a-Service with AI](https://sazabi.com/compare/sazabi-vs-logzio.md): Compare Sazabi and Logz.io for observability. See how AI conversational debugging differs from managed ELK with ML-powered analytics.
- [Sazabi vs Mezmo (2026): AI-Native vs Pipeline-Centric Observability](https://sazabi.com/compare/sazabi-vs-mezmo.md): Compare Sazabi and Mezmo for log management and observability. See how AI conversational debugging differs from telemetry pipeline management.
- [Sazabi vs New Relic (2026): AI-Native vs Enterprise APM](https://sazabi.com/compare/sazabi-vs-newrelic.md): Compare Sazabi and New Relic for observability and APM. See how AI conversational debugging differs from enterprise monitoring platforms.
- [Sazabi vs Observe (2026): AI-Native vs Data Lake Observability](https://sazabi.com/compare/sazabi-vs-observe.md): Compare Sazabi and Observe for observability. See how AI conversational debugging differs from data lake-based observability architecture.
- [Sazabi vs PostHog (2026): Observability vs Product Analytics](https://sazabi.com/compare/sazabi-vs-posthog.md): Compare Sazabi and PostHog for monitoring and analytics. See how AI-native observability differs from product analytics and feature flags.
- [Sazabi vs Sentry (2026): AI Observability vs Error Tracking](https://sazabi.com/compare/sazabi-vs-sentry.md): Compare Sazabi and Sentry for application monitoring. See how AI-native observability differs from focused error tracking and performance monitoring.
- [Sazabi vs SigNoz (2026): AI-Native vs Open Source APM](https://sazabi.com/compare/sazabi-vs-signoz.md): Compare Sazabi and SigNoz for observability. See how AI conversational debugging differs from open-source APM alternative to Datadog.
- [Sazabi vs Splunk (2026): AI-Native vs Legacy Enterprise Monitoring](https://sazabi.com/compare/sazabi-vs-splunk.md): Compare Sazabi and Splunk for observability and log management. See how AI conversational debugging differs from traditional SIEM and log analytics.
- [Sazabi vs Sumo Logic (2026): AI-Native vs Cloud-Native Log Analytics](https://sazabi.com/compare/sazabi-vs-sumologic.md): Compare Sazabi and Sumo Logic for observability and log management. See how AI conversational debugging differs from cloud-native log analytics.
- [Sazabi vs Uptrace (2026): AI-Native vs Open Source Distributed Tracing](https://sazabi.com/compare/sazabi-vs-uptrace.md): Compare Sazabi and Uptrace for observability. See how AI conversational debugging differs from open-source distributed tracing APM.
- [Sazabi vs Vector (2026): Observability Platform vs Data Pipeline](https://sazabi.com/compare/sazabi-vs-vector.md): Compare Sazabi and Vector for observability. See how AI-native observability differs from high-performance data pipeline infrastructure.

## Markdown Mirrors

All pages have markdown versions available by appending `.md` to the URL.
For example: `https://sazabi.com/about` → `https://sazabi.com/about.md`

This provides clean, structured content optimized for LLM ingestion without HTML markup.