- Specialization
- Data Engineering
- Business
- Software Applications
- Market
- Software Development
- Ecosystem
- Applications
- Customers
Enterprisesand 1 more customers valuesLess
- Developers
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications
- Specialization
- Data Engineering
- Market
- Software Development
- Customers
- Enterprises, Developers
- Delivery models
- Hosted Software
- Revenue models
- Subscription, Usage Based
- Listing status
- Not classified
- Latest equity round
- Series C
- Reported funding amount
- $200M-$1B
About
Observe builds an AI-powered observability platform for enterprise engineering and SRE teams to monitor, search, correlate, and troubleshoot application and infrastructure telemetry. Its differentiation is a context graph and streaming data-lake architecture designed to accelerate incident resolution while lowering observability costs.
Market
Observe competes in the enterprise observability market across logs, application performance monitoring, infrastructure monitoring, and incident investigation. It positions itself around a unified streaming data lake, Context Graph correlation, and AI SRE capabilities, differentiating through scalable telemetry retention, faster natural-language investigation, and lower cost than traditional observability platforms.
Observe targets organizations running modern, distributed applications, particularly Engineering, DevOps, SRE, and data teams that need unified telemetry and faster incident resolution. Its strongest fit is enterprise-scale environments with large telemetry volumes and cost-sensitive observability requirements.
At a Glance
Problem
Observe solves the operational pain of troubleshooting modern, distributed applications, where traditional logging, monitoring, and application-performance-management tools are complex, siloed, and increasingly expensive. As telemetry volumes grow to petabyte scale, engineering and SRE teams face longer mean time to resolution, fragmented context across logs, metrics, and traces, and pressure to sample data or shorten retention windows to control costs. The killer use case is a production incident: responders need to correlate signals quickly, identify root cause, and restore service without switching among multiple tools or sacrificing historical telemetry.
Product / Service
Observe provides a fully managed SaaS observability platform that unifies logs, APM, infrastructure monitoring, metrics, and traces on a streaming data lake. Its Context Graph organizes telemetry into semantic relationships, while explorers and AI SRE help engineers investigate anomalies, pivot from infrastructure views into contextual logs, and perform faster root-cause analysis. The commercial promise is more complete and longer telemetry retention at lower total cost, with Observe marketing up to 10x faster troubleshooting and 60% lower cost; its earlier company description framed the benefit as troubleshooting three times faster at one-third the cost.
Market
Observe competes in the observability-platform category, within the broader IT operations management software market. Gartner’s listed alternatives include Dynatrace, New Relic, Datadog, AppDynamics, Amazon CloudWatch, ManageEngine Applications Manager, and Azure Monitor; Observe also positions itself against legacy and do-it-yourself approaches such as Splunk and the ELK Stack. The market is substantial: Snowflake cited Gartner’s estimate of $51.7 billion for ITOM software in 2024.
Observe was commercial and scaling rather than pre-revenue: the company reported more than 60 customers, including Capital One, Topgolf, and Reveal, support for more than 1 PB of data per day for a single customer, ARR growth above 200% year over year, and net revenue retention above 190% in the first half of FY25. Research in the supplied corpus reports that Snowflake acquired Observe in January 2026, following a definitive acquisition agreement announced on January 8; the acquisition was intended to bring Observe’s AI-powered observability into Snowflake’s AI Data Cloud.
Founders & Leadership
Funding History
Sutter Hill Ventures
Sutter Hill Ventures
Sutter Hill Ventures, Capital One Ventures, Madrona Venture Group, Evolution Equity Partners
Sutter Hill Ventures, Madrona Ventures, Alumni Ventures, Snowflake Ventures, Capital One
Recent News
Observe announced AI SRE and o11y.ai Agents, positioning the launch as a way to accelerate developer productivity and reduce enterprise observability costs. The company said a virtual event about the launch would follow.
CRN reported on Snowflake’s planned acquisition of Observe, describing the transaction as a move to add native observability capabilities to Snowflake’s AI Data Cloud.
Observe appeared on the Snowflake Marketplace as an AI-powered observability offering built on an open data lake, proprietary Knowledge Graph, and AI SRE capabilities, representing a Snowflake distribution and integration channel.
Snowflake announced a definitive agreement to acquire Observe. The deal is intended to combine Observe’s AI SRE and open-standard observability architecture with Snowflake’s data platform; closing remained subject to regulatory approvals and customary conditions.
Observe announced the availability of two AI agents, AI SRE and o11y.ai, built on its open data lake architecture and Knowledge Graph. The agents were made available immediately to support reliability engineering and developer-focused observability.
Active Roles
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Get notified when they postBusiness Model
Observe sells its cloud observability platform through subscriptions priced against committed volumes of uncompressed telemetry ingested. Pricing is metered across logs, metrics, and traces, with volume and multi-year discounts, unlimited users, and no overage billing.
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Key Investors
Sutter Hill Ventures, Madrona Venture Group, Alumni Ventures, Snowflake Ventures, Capital One Ventures