Real-world use cases
See how teams use Sery.ai to solve complex data challenges.
Compare local files to cloud warehouse
Hybrid"We used to spend hours reconciling forecasts with our data warehouse. Now it's instant."
— Finance Director, SaaS company
Scenario
Finance team needs to compare local sales forecasts with actual revenue data from their cloud warehouse.
Challenge
Local files can't connect to cloud storage. Traditional tools require uploading sensitive forecasts. Manual exports are error-prone and slow.
Solution
Connect both local files and cloud warehouse. Ask questions that span both sources in plain English.
Result
Seamlessly query local and cloud data together. No manual uploads. No exports. Always synchronized.
Analyze sensitive data privately
Privacy"Finally, a BI tool that doesn't require us to upload patient data. Our compliance team approved it immediately."
— CTO, Healthcare startup
Scenario
Healthcare startup needs to analyze patient data for compliance reporting, but can't upload sensitive information to any cloud service.
Challenge
Patient data must stay on-premise due to compliance requirements. Cloud BI tools are non-compliant. Spreadsheets crash on large datasets.
Solution
Install desktop agent. Add local data folders. Query via web interface—data never leaves your device.
Result
Compliance-friendly analytics. Query large datasets locally. Zero cloud storage used.
Query server logs without uploading
Privacy"We can now query production logs instantly without security risks. Game-changer for incident response."
— DevOps Lead, Fintech company
Scenario
DevOps team needs to analyze error logs across multiple production servers to debug issues.
Challenge
Logs contain sensitive information. Uploading to cloud tools is a security risk. Manual access is too slow.
Solution
Install headless agents on servers. Point to your log directories. Ask questions in plain English.
Result
Query all servers simultaneously. Results aggregated instantly. Logs never leave servers.
Fast analytics on cloud data
Performance"Natural language queries on massive datasets. We migrated our entire analytics stack."
— Product Manager, E-commerce company
Scenario
Data team analyzes large volumes of clickstream data daily for product insights.
Challenge
Need fast query performance on large datasets. Local tools are too slow. Don't want to set up complex infrastructure.
Solution
Connect cloud storage. Query directly with natural language. Results cached automatically.
Result
Queries that took minutes now complete in seconds. No infrastructure to manage.
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