Oodles AI

History and Founding

Oodle AI was founded in 2023 by Kiran Gollu and Vijay Karthik, two engineers with deep experience in cloud infrastructure and observability. Both had firsthand experience as buyers of observability at Rubrik, where they managed a multi-million-dollar spend and led multiple painful migrations. This frustration drove Oodle’s design around open-source compatibility, ease of migration, and cost efficiency. The company is headquartered in San Jose, California, and is privately held with backing from Pear VC, Engineering Capital, and SNR.VC.

Business Model

Oodle operates on a consumption-based pricing model, charging per GB ingested and per active time series rather than per volume ingested. This eliminates the waste of collecting data that is never queried. The company claims to be 3× cheaper than Grafana Cloud and Elastic, and 5× cheaper than Datadog and Splunk. Revenue is generated through SaaS subscriptions for its fully managed platform, which is SOC 2 Type II, ISO 27001, and GDPR compliant, as well as through customer-managed deployments.

Core Products and Platforms

Oodle’s main offering is the Oodle AI Observability Platform, which provides AI-native observability for logs, metrics, traces, and service graphs. It bundles three solution areas: AICore for AI-powered debugging and agent observability, Infrastructure for container and Kubernetes APM with metric dashboards and alerts, and Digital Experience for user-facing performance monitoring (browser, mobile, API). The platform is complemented by the Oodle AI Agent, an autonomous discovery agent that deploys telemetry infrastructure automatically without manual configuration. Additionally, Migration Tools offer drop-in connectors for Datadog, Grafana, Elastic, Prometheus, and OpenTelemetry, enabling parallel-run migrations with no code changes. The Oodle Query Language supports PromQL, Lucene, and plain-English queries, with full compatibility with OpenSearch and Grafana UIs.

Market Position and Competitors

Oodle positions itself as an AI-native alternative to legacy observability stacks like Datadog, Grafana, Elastic, and Splunk. The platform is particularly suited for high-scale engineering teams frustrated with vendor lock-in and rising costs. Its architecture decouples storage from compute, using object storage for sublinear pricing at scale and serverless compute for query execution. This allows Oodle to handle the volume, velocity, and query patterns of modern agent-based systems, which legacy tools struggle with. The company’s go-to-market strategy focuses on proving value through rapid migrations and transparent pricing comparisons, targeting enterprises ready to move away from legacy solutions.

Regulatory and Compliance

Oodle’s managed SaaS platform is SOC 2 Type II, ISO 27001, and GDPR compliant. The company also offers deployment flexibility, allowing customers to run the platform in their own managed environments for additional control.

Notable Clients and Partnerships

While specific client names are not publicly disclosed, Oodle’s leadership team has emphasized that their design decisions were shaped by experiences at Rubrik. The company’s one-click migration tools have been used to complete Datadog migrations in 2–4 weeks and Elastic/Grafana migrations in under a day, often with parallel runs. The platform is backed by prominent venture capitalists and angel investors from the observability and infrastructure space.

Recent Developments

As of mid-2025, Oodle has reached $1.3 million in annual recurring revenue and employs approximately 12 people. The company continues to expand its AI-native capabilities, including plain-English debugging and dashboard-less operations. Oodle’s lean, high-impact engineering team is focused on making observability radically simple, fast, and cost-efficient for every engineer and organization.