Generative BI Platform

Your data answers.Instantly.

Query complex enterprise databases in plain English. Flowlitica generates precise SQL and interactive charts in seconds — bypassing the sprint backlog entirely.

Gemini · OpenAI · Llama · Anthropic
PostgreSQL · MySQL · BigQuery · Snowflake
🔒On-Premises Available
Workspace / Q3 Growth
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This is what Flowlitica does to your data.

Chaos in. Clarity out.

Platform Capabilities

Enterprise-grade BI and collaborative data intelligence built for secure, production-scale operations.

1. Conversational GenBI & Text-to-SQL

Intent-Driven Routing

Analyzes user prompts and automatically routes them across specialized processing strategies (e.g., Data Queries, Visual Dashboards, or General Knowledge assistance).

Chain-of-Thought SQL Generation

Generates complex, dialect-specific SQL using advanced reasoning pipelines, capable of maintaining conversational context for follow-up questions.

Self-Healing Execution Loop

Acts as an autonomous data engineer. Generated SQL is immediately validated against the execution engine; if it fails due to schema mismatches or syntax errors, a built-in diagnostic pipeline auto-corrects the query up to 3 times before returning it.

Single-Shot Dashboard Builder

Bypasses manual BI tools by automatically generating Vega-Lite chart specifications and complete dashboard layouts based entirely on natural language intent. Go from prompt to visualization instantly.

Data Assistance & NL Summarization

Returns conversational, natural language summaries of the retrieved data, rather than just returning raw database tables.
Outcome:Eliminates 80% of ad-hoc analyst tickets

The Insight Journey

How Flowlitica transforms a natural language question into validated, interactive business intelligence.

1

Ask

User types "Show me Q3 revenue by state compared to last year" into the conversational canvas.

2

Classify & Assemble

The Semantic router interprets intent. The AI orchestrator kicks off parallel data retrievals against the DDL definitions and business glossary.

3

Generate & Validate

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.

4

Visualize

The frontend Apollo client receives the validated payload via Server-Sent Events (SSE) and renders a dynamic, interactive Vega chart instantly.

Connect to Any Database

Native support for the modern data stack. Securely link your existing databases without data replication.

  • Secure, read-only direct connection
  • No data movement or ETL required
  • Real-time query execution

13+ Supported Data Sources

PostgreSQL
MySQL
Snowflake
BigQuery
Redshift
SQL Server
DuckDB
ClickHouse
Databricks
Athena
Oracle
Trino
MariaDB

Use cases by industry.

Financial Services

"Your risk and portfolio teams wait 3 sprints for every ad-hoc SQL report. Regulatory deadlines don't wait."

From query to financial report in 30 seconds.

  • Query transaction volumes and risk metrics in plain English
  • Detect fraud anomalies across product lines automatically
  • Maintain audit-ready, versioned compliance definitions
Risk Query Workspace
"Show me the high-risk transaction volume by region for the last 30 days"
SELECT region, SUM(transaction_amount) AS risk_volume FROM transactions WHERE risk_score > 85 AND created_at > CURRENT_DATE - 30 GROUP BY 1;
NA
EMEA
APAC
LATAM

LLM Agnostic. Zero vendor lock-in.

Flexible LLM Integration

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.

llms: gemini | openai | anthropic | local

Semantic Context + Parallel Execution

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.

pipeline: workflow | executor: parallel

Cloud or On-Premises

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.

deploy: k8s | air-gap: supported
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