Request-to-mapping translation
Turn requirements into field mappings, transformation steps, and source-target definitions.
Solutions | ETL with AI
Translate business requests into governed ETL workflows faster.
Vastvic ETL with AI helps teams move from plain-language requests to mappings, transformation logic, data validations, and lineage-aware delivery without losing engineering control.
Plain English
Capture business intent without requiring a full manual translation cycle.
Governed
Apply validations, mappings, dependencies, and lineage before release.
Reusable
Turn working patterns into templates for faster future delivery.
Mappings
128
Checks
24
Lineage
Live
Core Capabilities
Reduce the loop between business asks and trusted data delivery.
Validation and lineage
Keep schema checks, dependencies, and lineage context attached to the ETL design.
Faster engineering handoff
Reduce ambiguity before builds move into implementation, review, and publishing.
Operational Workflow
Design pipelines with clearer intent, fewer revisions, and better visibility.
- Capture source systems, target outputs, and rules from one intake flow.
- Generate transformation steps and validation logic before build review.
- Preserve lineage and dependencies for audit and change management.
- Shorten the iteration cycle between analysts, operators, and engineers.
Data Teams
Reduce time spent clarifying requirements and mapping business requests manually.
Analytics Delivery
Speed up repeated reporting and transformation demand with reusable patterns.
Change Control
Keep lineage and rule context visible when business logic changes.
Compliance Data
Support traceable movement of regulated data with validation checkpoints.
$ vastvic etl design --request "vendor ledger mapping"
Source systems parsed and schema variations detected
Transformation plan generated with business rules
Validation checks attached to target publication flow
Lineage and dependency graph prepared for review
ETL design packet ready for engineering handoff
Where It Fits
Useful wherever fragmented requests slow down data delivery.
Mapping Design
Clarify source-target relationships before engineering time gets spent in revision loops.
Validation Rules
Attach checks to the transformation plan before the data is published downstream.
Lineage Tracking
Keep dependency and change context visible for teams managing complex estates.
Delivery Velocity
Compress the time between business ask, technical design, and ETL implementation.
Talk to Sales
Book a Demo
Need help mapping your current ETL backlog into a pilot?
Use the sales chat in the bottom-right corner or book a demo for a walkthrough.
“Vastvic gave us a day-ahead view of our solar output without hiring a data team.”