Purpose-Built for ERP Data Migration
Morpheus™ streamlines the most painful part of ERP modernization — data migration.
Built on lessons learned and best practices from real EPICOR implementations, it simplifies mapping, validation, and transformation so your team, even new consultants, can deliver faster and more accurately.
Pre-built EPICOR-aligned templates
Guided AI mapping and validation
Reduced DMT pain and rework
Real-time progress tracking
In Development
Upcoming
Available
EPICOR
Infor
IFS
Net Suite
Acumatica
Why Teams Choose Morpheus™
Because traditional ETL tools weren’t built for migrations.
Mapping
AI-Guided Mapping
Automatically aligns legacy data to EPICOR’s structure
Validation
Continuous Validation
Finds and fixes data errors before loading
Templates
Built-In Best Practices
Uses proven pre-defined templates and logic for ERP success
Tracking
Project Management Built-In
Monitor progress using an EPICOR-style implementation plan
Every Step, Simplified.
Each step mirrors EPICOR's terminology and process flow, preparing users for real implementation success.
1
Ingest
Upload legacy data
Securely upload your existing data files from any source system in any format
2
Transform
System + user rules
Leverage pre-built automation and custom business rules
3
Validate
Dry-run engine
Preview results and catch potential issues before final import
4
Load
ERP-ready output
Clean, validated data ready for seamless ERP migration
Built for High-Stakes Migration Projects
Purpose-built for industries for which data accuracy, speed, and compliance cannot be compromised.
Manufacturing & Industrial
Medical
Defense
Pharmaceuticals
Aerospace
Business
Services & Light Assembly
Real Estate
Consultants & System Integrators
Non-profits
Time-to-Value You Can Measure
Fewer errors. Faster go-lives. Smarter teams.
No-code setup. Installation in under a day.
Faster, scalable system integration with repeatable data mapping
Ensure cleaner post-launch performance with verified input data
Reduces EPICOR installation time by up to 85%
Minimize go-live issues with pre-load data validation
Streamline associated labor efforts
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