Post-M&A data consolidation, on the integration clock.
Merging entities means merging systems on a deadline. Settle consolidates customer, product, and financial data across companies — conflicts surfaced and resolved early, every row validated, and a full audit trail for the deal team. Fixed price, on the integration clock.
For integration leads and deal teams consolidating systems after a close, on a date that doesn't move.
How Settle runs it
Connect directly, drop files, or paste a DDL — Settle profiles both sides before any mapping begins.
Settle reads your schemas and real data, then asks the questions that live in your experts' heads.
Every mapping and transform proposed with a confidence score — where the agent can't decide, it asks instead of guessing.
Reconciliation, integrity, and a dry run — then load with one click, or take the full package.
Settle loads, checks every record, fixes what fails, and re-runs — then simulates your real workflows in the target's own front end.
Exceptions surfaced up front — not at cutover.
Five deterministic gates, before and after load.
Scoped to your migration. No billable-hour meter.
We don't have a data team, and we didn't need one. Settle did the heavy lifting, flagged the few things that needed our call, and let us check every record before it landed. Easily the smoothest system change we've made.
Built by the team that ran Fortune 500 migrations at Deloitte.
Questions
How do you reconcile conflicting records across entities?
Conflicts — the same customer in both companies' systems, overlapping product codes, colliding identifiers — surface during discovery, not at go-live. Settle proposes survivorship rules for each conflict class, your team reviews and approves them, and the engine applies them deterministically, with every decision recorded.
How do you handle overlapping customers across entities?
Overlaps are identified with matching rules that run across both companies' systems — proposed by the agent, reviewed by your team — and each match class gets an explicit survivorship rule: which record leads, which fields merge, what happens to conflicting terms. Merged records keep the history from both sides, and every merge decision is recorded for the deal team.
Can this run under NDA in our environment?
Yes. Full security documentation is available under NDA, and private-cloud deployment is available on demand, so source data doesn't have to leave your perimeter. Data is encrypted in transit and at rest, isn't retained beyond the migration, and is never used to train a model.
What does the deal team receive at the end?
A versioned, re-runnable migration package and a complete audit trail: what moved, how it was transformed, what was validated, and who approved each step. Integration leads use it for sign-off, and it stands up to the diligence questions that follow a close.
What does this migration cost?
Every migration is priced fixed and scoped — no billable-hour meter, no seat pricing. Consulting-led delivery for comparable migrations typically runs $75K–$600K for most programs and $600K–$1.5M+ at enterprise scale; Settle typically comes in at roughly half the consulting-led equivalent. Book a scoping call and you'll have your number.
De-risk your next migration.
See Settle run on your own schema — or send us the shape of your migration and we'll come back with an estimate.