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observo.ai

observo.ai is an AI-native observability platform that optimizes data pipelines, reduces costs by up to 80%, and accelerates incident resolution for security and DevOps teams.

observo.ai screenshot

Category: Automation

Price Model: Freemium

Audience: Enterprise

Trustpilot Score: N/A

Trustpilot Reviews: N/A

Our Review

observo.ai: Revolutionizing Security and DevOps Observability with AI

observo.ai is an AI-native observability platform engineered for modern security and DevOps teams, delivering intelligent, automated data pipelines that optimize telemetry ingestion, reduce costs, and enhance insights. With a powerful suite of five core products—Observo AI Data Pipeline, Observo Orion AI, Observo Query, Observo Data Lake, and Observo Edge Collector—it enables dynamic, real-time data processing using AI-driven parsing, filtering, enrichment, and schema alignment. Designed for enterprises and technical teams managing massive data volumes, observo.ai excels at reducing log ingestion by up to 80%, improving Mean Time to Resolution (MTTR) by 42%, and supporting compliance with HIPAA, SOC 2, PCI DSS, and GDPR through sensitive data discovery and secure retention. The platform integrates with 500+ sources and destinations, including Elastic, Microsoft Sentinel, AWS, Azure, GCP, Splunk, Datadog, and more, while offering full control over data storage via a secure, open-format data lake. Its standout features include natural language search, on-demand data rehydration, agent-based and agentless edge collection, and a self-optimizing AI Data Engineer (Observo Orion AI) that automates workflows and delivers proactive recommendations. With support for OpenTelemetry and OCSF standards, observo.ai ensures seamless interoperability and future-proof data architecture.

Key Features:

  • Observo AI Data Pipeline: AI-driven ingestion layer that automates parsing, filtering, enrichment, and schema alignment, replacing traditional tools like Logstash and Beats.
  • Observo Orion AI: An agentic AI Data Engineer that enables natural language pipeline creation, optimization, and real-time management.
  • Observo Query: Natural language search and interactive visual dashboards for fast insight discovery across telemetry data.
  • Observo Data Lake: Secure, cost-effective, long-term retention of full-fidelity logs in open formats (Parquet, JSON, OCSF), with tiered storage and on-demand rehydration.
  • Observo Edge Collector: Unified, source-agnostic data collection agent for Kubernetes, VMs, physical servers, cloud environments, firewalls, and SaaS applications.
  • AI-Powered Data Optimization: Reduces data volume by 74–80% via intelligent filtering, summarization, and deduplication before indexing.
  • Anomaly Detection: Uses an AI Sentiment Engine to detect anomalies prior to data indexing, improving data quality and reducing noise.
  • Real-Time Enrichment: Inline enrichment with threat intelligence, Geo-IP, identity lookups, and sentiment scoring during data processing.
  • Schema Normalization & Mapping: Automatically applies regex and AI-generated Grok patterns; aligns data with ECS, Splunk CIM, or custom schemas.
  • Smart Data Routing: Tiered routing of high-value data to SIEMs (e.g., Elastic, Microsoft Sentinel) and low-priority logs to cost-effective storage (e.g., Amazon S3, Azure Blob, Glacier).
  • Compliance & Security: Built-in PII masking, encryption, RBAC, multi-region replication, and audit-ready storage for HIPAA, SOC 2, PCI DSS, and GDPR.
  • Multi-Cloud & On-Prem Support: Deployable across AWS, Azure, GCP, or on-premises environments.
  • Interactive Sandbox: Allows users to test and visualize data pipelines without commitment.
  • Personalized Demos: Offers tailored walkthroughs with an Observo AI engineer via demo request.
  • Extensive Integrations: Supports 500+ sources and destinations, including major SIEMs, observability platforms, and data warehouses.
  • Open Data Formats: Stores data in Parquet, JSON, and OCSF to prevent vendor lock-in and enable easy retrieval.
  • Unified Data View: Aggregates data across silos without physical migration, reducing egress costs and simplifying analysis.

Pricing: observo.ai offers a free sandbox environment and a personalized demo option, with enterprise pricing available upon request. The platform is designed for high-scale operations, supporting up to 100PB of data per month and over 1 billion events, making it ideal for organizations seeking cost-effective, intelligent observability solutions.

Conclusion: observo.ai is a transformative, AI-driven observability platform that empowers security and DevOps teams to reduce data costs, improve incident resolution, and maintain compliance—all through intelligent automation, real-time insights, and full data control. Its innovative architecture and enterprise-grade features make it a powerful choice for modern data pipeline challenges.

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