AveroBuilding
AI Data Studio for Enterprise AI
Turn enterprise data into AI-ready data products. Avero uses AI to discover, understand, transform, test, document, and prepare enterprise data for intelligent applications and AI agents—while preserving data quality, governance, security, and business context.
Key Features
Natural Language → Data Engineering
Convert requirements into data workflows, generate technical designs, and create implementation plans.
Intelligent Data Discovery
Automatically discover and understand enterprise data across databases, data lakes, APIs, and schemas.
SQL & API Generation
Generate production-ready data access code including SQL queries, API integrations, and connectors.
AI-Powered Data Transformation
Build complex transformations automatically including joins, aggregations, data cleansing, and PII masking.
AI-Ready Dataset Generation
Transform raw enterprise data into datasets optimized for AI, including feature datasets and embeddings-ready data.
Pipeline Generation
Generate complete end-to-end data pipelines. Support for batch, incremental and event-driven workflows.
Data Quality & Validation
Automatically validate generated pipelines and datasets with schema validation and data quality checks.
Documentation & Lineage
Automatically generate and maintain dataset documentation, column-level lineage, and data flow diagrams.
Multi-Platform Engineering
Build across heterogeneous enterprise environments. One engineering intent, multiple target platforms.
Deploy & Operate
Move from generated artifacts to production with deployment-ready pipelines, scheduling, and monitoring.
Supported Platforms
Connects seamlessly with your existing technology stack.
Key Use Cases
Discover what you can build with our integration suites.
Build an AI-Ready Customer Data Layer
“Combine customer data from Salesforce, PostgreSQL and Snowflake, standardize IDs and create an AI-ready dataset.” Avero discovers → designs → generates → transforms → validates → publishes.
Generate a Data Pipeline From Requirements
“Build a daily pipeline that extracts orders from an API, joins them with customer data, and publishes to Snowflake.” Requirement → Pipeline → Production.
Modernize Existing Data Pipelines
“Analyze this legacy ETL pipeline and recreate it on Databricks.” Avero analyzes existing logic, dependencies, and transformations to generate the target implementation.
Turn APIs Into Enterprise Data
“Pull customer and transaction data from APIs every night and make it available for analytics.” Automatically generate: API integration → ingestion → transformation → validation → dataset → pipeline.
Create Data for RAG & AI Agents
“Create an AI-ready knowledge dataset from our product, customer, and support data.” Generate data extraction, cleansing, enrichment, metadata, and AI-ready artifacts.
Cross-Platform Data Engineering
“Move this data workflow from AWS to Azure while preserving transformations and data quality checks.” Discover → assess → map → generate → validate → deploy.
Ready to get started?
Transform your enterprise with Avero. Discover how we can accelerate your AI journey today.