Vizzora offers an AI‑driven analytics platform that translates plain‑English queries into automated ETL pipelines, unifying data from databases, data warehouses, and cloud storage for supply‑chain and warehouse teams. It delivers real‑time dashboards, predictive forecasts, and validated visualizations through a conversational web interface or API, available in both cloud‑native and on‑premise deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Supply‑chain and warehouse teams spend the majority of their time on manual extract‑transform‑load (ETL) processes and reconciling fragmented data sources, which creates costly operational bottlenecks and forces reliance on specialized SQL expertise.
Solution
Vizzora delivers an AI‑powered analytics platform that lets users pose complex operational questions in plain English. The system automatically generates and executes the underlying ETL pipelines, unifies data across heterogeneous databases, and surfaces results through real‑time dashboards and predictive forecasts. An embedded operations‑agent loop cross‑validates each insight before it is presented, ensuring high‑accuracy visualizations and actionable summaries. Users can access the platform via a conversational web interface or integrate it through APIs, while the platform supports both cloud‑native and on‑premise deployments to meet security and compliance requirements. By removing the SQL barrier and automating data engineering, Vizzora enables supply‑chain professionals to shift from reactive reporting to proactive decision‑making.
Target Audience
The primary customers are supply‑chain analysts, warehouse managers, and logistics executives in mid‑size businesses and large enterprises that need unified, AI‑enhanced visibility across their data ecosystem.
Features
- Natural‑language query engine that translates plain‑English requests into optimized SQL or Spark jobs across connected data sources
- Automated ETL and data‑engineering layer built on a cross‑database MCP architecture supporting MySQL, PostgreSQL, Snowflake, BigQuery, Redshift, MongoDB, Databricks, and S3
- Real‑time analytics dashboards with drill‑down visualizations and AI‑driven demand‑and‑inventory forecasting models
- Retrieval & Inspect loop that validates model outputs and chart integrity before delivery to the user
- Role‑based access control (RBAC) and immutable audit logs for enterprise governance and compliance
- Unlimited connector framework and plug‑in SDK for rapid addition of new data sources
- Optional on‑premise deployment with dedicated SLA guaranteeing 99.9 % uptime and isolated compute resources
- 24/7 AI analyst assistance that prioritizes query processing and provides proactive insight recommendations