AI-powered platform automating legacy data warehouse migrations to modern cloud architectures
The Problem: Legacy Migration Crisis
Migrating corporate data warehouses from legacy platforms to the cloud is a multi-year, multi-million-euro nightmare. Companies face four critical challenges that drain resources and slow innovation.
Slow & Expensive Migrations
Multi-year timelines and massive budgets for moving from Teradata, Oracle, and Hadoop to modern platforms
Unpredictable Cloud Costs
Complex platforms like Databricks and Snowflake create billing spikes and misconfigured resources
Data Quality Blindness
Loss of visibility over data freshness, schema changes, and broken pipelines in complex stacks
GDPR Compliance Burden
Manual work tracking PII, applying masking policies, and proving compliance to auditors
The Core Pain Point
How do we quickly and safely move off legacy, build a modern data platform, and keep costs under control?
Most organizations operate a "zoo" of separate tools for migration, data quality, GDPR, and cloud costs. This fragmented approach is expensive, hard to integrate, and doesn't solve the fundamental challenge.
Our Solution: One Platform, Four Critical Layers
MorphData AI is a unified SaaS platform that covers the entire data lifecycle, eliminating the need for multiple point solutions.
AI-Powered Migration
Automatically translates legacy SQL/ETL code into dbt models, Spark pipelines, and modern SQL for Snowflake, BigQuery, and Databricks
Data Observability
Monitors freshness, anomalies, schema changes, and auto-generates quality tests using LLMs
Cloud Cost Intelligence
Analyzes logs, recommends optimizations, and predicts cost spikes based on workload patterns
GDPR Automation
Automatically detects PII, suggests masking strategies, and generates audit-ready compliance reports
How It Works: The Migration Engine
Intelligent Code Analysis
Our LLM-based engine doesn't just generate code from scratch. It analyzes thousands of legacy jobs and procedures, builds an abstract representation of transformation logic, and translates it to the target platform while preserving business logic and dependencies.
The system automatically builds data lineage and generates technical documentation, reducing key-person risk and accelerating onboarding.
01
Parse Legacy Code
Teradata, Oracle, Hadoop
02
Analyze Logic
Build abstract model
03
Generate Modern Code
dbt, Spark, SQL
04
Document & Deploy
Auto-generated docs
Market Opportunity
$25B
Global TAM
Conservative estimate for 2024, growing to $50B+ by 2030
$6B
European SAM
Mid-size and large enterprises operating under GDPR
$200M
3-5 Year SOM
France + DACH + Benelux focus on active migration projects
Competitive Landscape
ETL & Migration Tools
Players: Fivetran, Matillion, Talend, Informatica
Gap: Don't handle complex legacy code migration end-to-end or provide observability and FinOps
Data Observability
Players: Monte Carlo, Bigeye, Soda, Datafold
Gap: Don't automate migration or cover GDPR/PII deeply
Cloud Cost Management
Players: CloudHealth, Apptio, Flexera
Gap: Operate at infrastructure level, can't suggest pipeline changes
Data Privacy & GDPR
Players: BigID, OneTrust, Collibra
Gap: Not integrated with DWH/ETL optimization
Our Competitive Edge
End-to-End Platform
Unified horizontal layer across the entire data lifecycle, not a point solution
Code-Level Intelligence
Works at SQL query and ETL graph level, enabling automatic code rewriting and performance optimization
GDPR-by-Design
European focus with PII detection integrated into migration, not as an afterthought
Vendor-Agnostic
Strong focus on open-source (Spark, Airflow, dbt) and multi-cloud, reducing lock-in
Migration-First GTM
Entry through concrete migration projects with large budgets, then ongoing subscription revenue
Egor Tashchilov
Founder & CEO
Background:
  • 10+ years in data engineering and platform architecture
  • Led large-scale migrations: Teradata/Oracle → Snowflake/Databricks/BigQuery
  • Built data platforms with Spark, Airflow, Kafka, dbt
  • Hands-on experience with GDPR and PII anonymization
Growth Plan: Hire 1-2 senior engineers in France within 12-18 months, build local team of 5-10 within 3-4 years