Reactor
NewElectron AI

Your agentic
data teammate.

Electron is your intelligent co-pilot for data engineering. Describe what you need in plain English, get mapping expressions in seconds.

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Electron AI
DA
Combine first_name and last_name from my Salesforce contacts into a single full_name field, properly capitalized.
Here's the expression. I've handled null cases and proper-cased the output:
// salesforce.contact.full_name
PROPER(
CONCAT(
COALESCE(first_name, “”),
“ ”,
COALESCE(last_name, “”)
)
)
Validated against 12,847 rows1.4s
DA
typing

How Electron works

Three steps from prompt to production.

Describe what you need. Electron understands your context. You ship.

Step 0101

Natural language

Describe what you need.

Plain English. Electron generates the appropriate Native expression language or Python mapping expression.

You
“Convert order_total from cents to dollars and round to 2 decimals.”
Step 0202

Contextual understanding

Electron knows your data.

Accesses your source schemas, semantic models, and destination requirements for accurate mapping suggestions.

order_total · integer · cents
common.order.value · decimal(10,2)
12,847 rows analyzed
Step 0303

Iterative refinement

Refine until perfect.

Provide feedback and Electron refines its output until the expression matches your exact needs.

ROUND(
order_total / 100,
2
)
Deployedv2 · 0.9s

Capabilities

Built for real data work.

Flexible expressions

Quickly build data transformations using Reactor's expression language or Python to get the exact data shape you need, faster.

Smart, context-aware updates

Easily adapt and improve your data transformations with smart, context-aware updates that reflect the latest data understanding.

Pre-flight validation

Immediately see how your changes will impact your data before they go live, reducing errors and saving you time and rework.

Shared understanding

Enhance data collaboration with clear, AI-generated descriptions on every field, making data more accessible across your team.

User story

“As an analyst mapping data in Reactor, I want to ask a virtual assistant for help writing mapping expressions so I can confidently write expressions that produce the desired values in my data destination.”

A common request from data teams everywhere.

Key capabilities

  • Interactive assistance on all mapping screens
  • Field-specific mapping suggestions
  • Real-time validation
  • See impact before going live
Continuous learning

Smarter with every interaction.

Electron learns from your feedback and approval patterns, improving mapping suggestions over time and across your organization to provide increasingly relevant assistance.

Talk to our team
Suggestion accuracy+34%
Week 1Week 12

FAQ

Common questions.

Everything about Electron AI and how it transforms your data mapping workflow.

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01What is Electron AI?
Electron AI is an agentic AI assistant for ETL (Extract, Transform, Load) and data mapping, designed to act as an intelligent co-pilot for data engineering tasks within the Reactor Platform.
02How does Electron AI simplify data mapping and transformations?
Electron AI simplifies data mapping by allowing users to describe their needs in plain English. It generates appropriate mapping expressions, understands data context, and refines suggestions based on user feedback, significantly speeding up the process and reducing errors.
03What types of mapping expressions can Electron AI generate?
Electron AI can generate mapping expressions using Reactor's Native expression language (Excel-like functions) and Python, providing flexibility for different user needs.
04Can I see how my data transformations will impact my data before they go live?
Yes, Electron AI allows you to immediately see how your changes will impact your data before they go live, which helps reduce errors and saves time and rework. It also validates mapping results in real-time.
05How does Electron AI ensure accuracy in its mapping suggestions?
Electron AI ensures accuracy through contextual understanding, accessing source schemas, semantic models, and destination requirements. It also offers iterative refinement, allowing users to provide feedback and continuously refine the output until it matches their exact needs.
06Does Electron AI learn and improve over time?
Yes, Electron AI features continuous learning. It learns from your feedback and approval patterns, improving its mapping suggestions over time and across your organization to provide increasingly relevant assistance.
07Who is the primary user for Electron AI?
Electron AI is primarily designed for data engineers, data analysts, and data teams who need to efficiently build, adapt, and manage data transformations and mapping expressions, helping them confidently write expressions and streamline workflows.

Ready when you are

Transform your data mapping.

Electron streamlines your data mapping workflow with AI-powered assistance that learns and improves with each interaction.

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