Query complex enterprise databases in plain English. Flowlitica generates precise SQL and interactive charts in seconds — bypassing the sprint backlog entirely.
Chaos in. Clarity out.
Enterprise-grade BI and collaborative data intelligence built for secure, production-scale operations.
Analyzes user prompts and automatically routes them across specialized processing strategies (e.g., Data Queries, Visual Dashboards, or General Knowledge assistance).
How Flowlitica transforms a natural language question into validated, interactive business intelligence.
User types "Show me Q3 revenue by state compared to last year" into the conversational canvas.
The Semantic router interprets intent. The AI orchestrator kicks off parallel data retrievals against the DDL definitions and business glossary.
The LLM generates the SQL payload. The engine test-runs the query. If an error occurs, it self-corrects up to 3 times before returning.
The frontend Apollo client receives the validated payload via Server-Sent Events (SSE) and renders a dynamic, interactive Vega chart instantly.
Native support for the modern data stack. Securely link your existing databases without data replication.
"Your risk and portfolio teams wait 3 sprints for every ad-hoc SQL report. Regulatory deadlines don't wait."
Flowlitica's SQL generation and data pipelines are fully LLM-agnostic. Connect directly to enterprise APIs like Gemini, OpenAI, and Anthropic, or self-host open models (Llama, Gemma) on your own VPC or GPU cluster.
A canonical Model Definition Language grounds every LLM call in your actual schema context. Anomaly detection runs as parallel execution pipelines — horizontally scalable, independently deployable.
Flowlitica deploys on your Kubernetes cluster, your VPC, or our managed cloud. Air-gapped enterprise? We've done it — healthcare and aerospace clients run fully offline instances.
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