How WisdomAI Went from Fragmented Cloud Tools to AI-Powered Observability with Oodle

“It's like going from a rudimentary product to a proper product. So developers were very excited, very happy, and they still are.”
Sharvanath Pathak
Co-Founder & CTO, WisdomAI
5x
Cost Savings on Traces
AI-Native
Debugging with Oodle MCP
3 Clouds
Unified (AWS, GCP, Azure)
100%
Engineering Team Adoption
WisdomAI Logo

WisdomAI is building an agentic data analytics platform that enables enterprises to get insights at their fingertips using natural language.

IndustryAgentic Data Analytics
Company size50-100
Previous ToolsCloudWatch, GCP Logs Explorer, Self-hosted Grafana, AWS X-Ray, Google Managed Prometheus, Azure Monitor

Challenge

“We suddenly had several deployments running across AWS, Azure, GCP, and customer environments. We needed consolidated observability and alerting on top of that.”
Sharvanath Pathak, Co-Founder & CTO
“If I want to search for an error, I would have to go to different accounts, different projects on GCP, and figure out what the data is.”
Anuj Mittal, Founding Engineer

WisdomAI is building an agentic data analytics platform. Users can connect structured, unstructured, and MCP-enabled data sources, ask questions in plain English, build visualizations and dashboards through chat, and leverage proactive agents for long-running analytical tasks.

With observability fragmented across clouds and self-hosted Grafana, engineers were burning time writing custom scripts and jumping between tools.

Pain Points:

Fragmented observability across clouds: Logs split across CloudWatch, GCP Logs Explorer, and other platforms with no cross-customer visibility
Poor developer experience: CloudWatch required specific syntax for basic filtering; self-hosted Grafana suffered from memory issues and slowdowns
Manual workarounds: Engineers wrote custom scripts to scrape and analyze CloudWatch logs - wasted engineering effort that could be spent on building the product
No centralized alerting: Scattered across platforms with no controls for deduplication or grouping across customers

Solution

Why WisdomAI Chose Oodle

“We wanted something more modern, something newer. We wanted to bet on something which is more AI-forward, more AI-native.”
Sharvanath Pathak, Co-Founder & CTO
“We just heard about Oodle, and it made sense to just try it out. We just gave it a spin for a POC without even thinking too much about it. It was very easy to just set it up.”
Anuj Mittal, Founding Engineer

WisdomAI needed a centralized observability platform that could span its multi-cloud deployments. After evaluating alternatives, including Datadog (ruled out on cost - estimated at roughly $100K per quarter) and GCP Stackdriver (ruled out on UX), they chose Oodle for its modern experience, AI-native capabilities, and cost efficiency.

What made the difference:

Cost-effective at scale: 5x savings on traces alone compared to cloud-native and commercial alternatives
Modern, intuitive UX: Easy filtering, log search, and out-of-the-box dashboards for metrics
AI-native features: Alerts, PromQL, and dashboard generation with plain English, Oodle MCP integration with Cursor
Unified multi-cloud observability: Single pane across AWS, GCP, and Azure - 20+ Kubernetes clusters
Responsive support: Issues, feature requests, and bugs addressed quickly

Impact

Developer Happiness and Adoption

“Learning and using PromQL is a pain. Now, I just prompt Oodle's AI Assistant to create a dashboard containing these panels and it just works. It is magical.”
Tanish Lad, Founding Engineer
“There are still some accounts where we haven't enabled Oodle. And developers hate debugging there because they don't have Oodle.”
Anuj Mittal, Founding Engineer
5x cost savings on traces: No need to reduce trace granularity to control costs - engineers focus on building instead
AI-powered debugging with MCP: Engineers using Oodle MCP in Cursor for automated debugging
Automated Slack alerting: Relevant logs auto-posted to alert threads, saving at least 10-15 minutes per incident for on-call engineers
Fast UI: Consistently fast across all use cases - a stark contrast to Grafana
“It's the best way to do observability. I'm actually surprised that you get such good observability at a cheaper cost than the native AWS and GCP capabilities.

Oodle MCP server is a game changer for us.”
Anuj Mittal, Founding Engineer

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