Source Harvesters
Builds an accurate inventory of what the legacy estate contains, runs and depends on, across BI, ETL and database code.
Operations
Lineage-Gated Observability
Data quality monitoring that takes lineage into account, so alerts point to the cause instead of flooding teams with symptoms.
Once a platform is live, data quality tooling tends to raise more alerts than anyone can follow up. A single upstream problem triggers failures everywhere downstream, teams start ignoring the noise, and trust in the new platform erodes.
Lineage-Gated Observability links quality checks to the lineage behind them and follows each issue from detection to resolution. The result is fewer, more meaningful alerts, and a platform whose reputation improves over time.
What it delivers:
- Alerts that point to root causes rather than cascading symptoms
- Issues followed from detection to resolution, including recurrence
- A quality picture that business owners can rely on
Further reading: How to prove a migration is correct.
We describe what each accelerator does. How they work, including demonstrations, is something we show clients directly and under NDA, usually during an assessment.
The other accelerators
Legacy Data Miner
Works out from actual usage which data the business really depends on, and what can be retired instead of migrated.
Agentic Reverse Engineering
Uses governed AI agents to analyse legacy code at scale, with every finding traced to its source and reviewed by an engineer.
Migration Testing Workbench
Compares legacy and target continuously from the first sprints, so cutover is signed off on evidence rather than confidence.
Planning a migration, or stuck in one?
Send a few lines about your estate. We reply within one working day, and sign an NDA first if you need one.