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§ Private Profile · Newark, CA, USA
Observo AI is a technology company.
Observo AI provides an AI-powered data pipeline for security and DevOps teams, offering control over observability data. Its platform connects data sources to destinations, applying transformations and routing. The solution creates a full-fidelity data lake in low-cost storage, utilizing Parquet for compressed, searchable data, and integrates natural language for efficient querying.
Observo AI was founded to address significant telemetry data challenges for Security and DevOps teams. The company emerged from recognizing the high cost and complexity of managing vast observability data. While founder details are not available, it was established to streamline pipelines, reduce operational overhead, and enhance access to critical operational and security insights.
Observo AI serves Security and DevOps professionals optimizing data infrastructure and controlling costs. The company empowers these teams by transforming raw telemetry into actionable intelligence, significantly cutting security and observability expenses. Observo AI seeks to evolve data management and value extraction, ensuring future data efficiency and operational resilience.
Observo AI has raised $15.0M across 1 funding round.
Observo AI has raised $15.0M in total across 1 funding round.
Observo AI has raised $15.0M across 1 funding round. Most recently, it raised $15.0M Seed in January 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2025 | $15M Seed | Felicis Ventures, Lightspeed Venture Partners | Alumni Ventures, Beat Ventures, CRV, Jenny Fielding, Scott Hartley, Goat Capital, SineWave Ventures, Underscore VC | Announced |
Observo AI is a technology company building AI-native data pipelines that automate observability and security for enterprises, tackling exploding data volumes from cloud, VMs, Kubernetes, and networks.[1][2][5] Its platform optimizes log data by reducing volume up to 80-90% (with a verified 74% average), routes it intelligently to destinations like SIEMs or data lakes, detects anomalies in real-time, and ensures PII compliance—all while cutting total observability costs over 50% and speeding incident response by 40%+.[1][2][3][4] Serving security and DevOps teams in industries like finance, healthcare, and manufacturing, Observo solves the "data deluge" where only 20% of logs hold value, enabling focus on signals amid noise for scalable, cost-efficient operations.[1][3][5]
Growth momentum includes AWS Marketplace availability, partnerships like SentinelOne for SIEM integration, a 2025 InfoWorld Technology of the Year Award in Observability, and Cybersecurity Excellence Awards recognition, with customers reporting rapid ROI and maturity in AI-driven cost savings.[2][4][5]
Specific founding details like year, founders, or early traction are not detailed in available sources, positioning Observo AI as an emerging player in AI-native observability.[1][5] The company emerged from the need to evolve beyond static, rules-based tools amid 35% annual growth in security telemetry data, using ML, LLMs, and agentic AI to automate pipelines.[1][2][5] Pivotal validation came via awards like InfoWorld’s 2025 Technology of the Year, affirming its core belief in adaptive, AI-driven security and observability as practical enterprise impact.[5]
Observo AI rides the AI observability wave in the "AI era," where enterprises face petabyte-scale data growth from multi-cloud/K8s environments, making traditional SIEMs untenable due to costs and noise.[1][2][3] Timing aligns with 35% yearly telemetry explosion and shift to agentic AI for automation, positioning it as an upstream "control plane" that feeds optimized data to downstream tools like SIEMs or analytics engines.[3][4] Market forces favoring it include cloud cost pressures, regulatory PII demands, and DevSecOps convergence, enabling "collect once, route anywhere" for efficiency.[1][5] It influences the ecosystem by partnering (e.g., SentinelOne), standardizing formats, and proving AI pipelines reduce sprawl, accelerating autonomous SOCs and scalable security data lakes.[4][5]
Observo AI is poised to dominate as the go-to AI pipeline for observability, with expansions into more agentic features, broader integrations, and sovereign cloud data lakes amid rising AI-driven threats and costs.[2][5] Trends like generative AI for pipelines, real-time edge processing, and OCSF/OpenTelemetry adoption will amplify its edge, potentially capturing share from rule-based incumbents as data volumes double.[3][4] Its influence may evolve toward full-stack autonomous security platforms, empowering CISOs to prioritize threats over plumbing—transforming enterprise security from reactive noise-filtering to proactive, efficient signal mastery, as validated by early awards and partnerships.[4][5]
Observo AI has raised $15.0M in total across 1 funding round.
Observo AI's investors include Felicis Ventures, Lightspeed Venture Partners, Alumni Ventures, Beat Ventures, CRV, Jenny Fielding, Scott Hartley, Goat Capital, SineWave Ventures, Underscore VC.