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
3x
Cheaper than Cloud-native tools
AI-Native
Debugging with Oodle MCP
Unified
Replaced 6+ tools across 3 Clouds
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

Challenge

“We 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 democratizing access to all data sources via Agentic Intelligence. However, their observability stack was fragmented across clouds and 6+ tools. This was slowing down their development velocity and making it difficult to quickly identify which all customer deployments are impacted on any incidents since observability data was spread across multiple tools with their own query languages and UI interfaces.

Pain Points:

Fragmented observability across clouds: Logs and Traces split across Cloud Native tools (CloudWatch, GCP Cloud Operations) lacking cross-customer visibility
Poor developer experience: CloudWatch query language has steep learning curve, offers no type-ahead suggestions. No agentic intelligence in cloud native tools
Manual workarounds: Engineers wrote custom scripts to scrape and analyze logs due to poor UX and issues which required cross-customer analysis
Steep learning curve for building dashboards and alerts Engineers procrastinated creating dashboard and alerts due to PromQL friction

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
“Without Oodle, we'd have to spend time cutting down on traces due to cost. At the growth stage, we just want to focus on building new things.”
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:

Modern intuitive UX: Point-and-click experience for logs and tracesexploration
AI-native experience: Alerts and dashboard generation with plain English with in-product AI assistant, Oodle MCP with Cursor
Unified multi-cloud observability: Single pane for 20+ Kubernetes clusters across AWS, GCP, and Azure.
Cost-effective: 3x cheaper than Cloud-native tools
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
“I didn't think changing the logging software would affect my life so much! Oodle has been pretty good so far.”
Varun Goyal, Founding AI Engineer

Developers saw productivity improvements from day one. The impact was beyond cost savings. Oodle changed how engineers debug, build dashboards, and handle incidents.

Cross-customer debugging made easy: No need to jump between AWS and GCP consoles or write custom scripts
Oodle MCP in Cursor: Debug production issues without leaving the IDE
Automated Alert Debugging: Relevant context auto-posted to Slack alert threads, saving 10-15 minutes per incident
No Cost pressure: No need to reduce telemetry to stay within budget
“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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