The riskiest part of a software change shouldn't be the data.
Every enterprise software change — a new ERP, a new CRM, an acquisition folded in — lives or dies on whether the data arrives correct. Settle exists to make that the most certain part of the project instead of the most feared.
We ran these migrations by hand. That's the point.
Settle started inside the problem. Kaan spent years at Deloitte running ERP and CRM data migrations for Fortune 500 companies — and watching the same failure repeat on every project. The mapping was never the hard part. The hard part was the other 10%: the edge cases, exceptions, and unwritten rules that lived in a handful of experts' heads and only surfaced during mock loads, or worse, after go-live. That's where timelines blew up, budgets followed, and teams were still fixing data months after cutover.
The tools on the market didn't close that gap. The fast ones shipped data nobody had checked. The careful way took months of manual work. You never got both.
So we built the tool we wished we'd had. Settle captures the rules up front, has AI propose every mapping and transform, proves each one against an independent deterministic engine, and then validates the loaded data in the live target system — every record, not a sample — before anyone calls the migration done.
One principle runs through everything: AI proposes, deterministic engines validate, and a human approves. The model never decides what reaches production. That's what makes the result audit-grade — and what makes migration something you can finally hand to software.
A service, and the platform underneath it.
Today Settle delivers migrations two ways. For companies facing a one-time move — an M&A consolidation, a platform switch, a legacy retirement — we run the migration end to end as a fixed-price engagement. For teams that migrate for a living — customer onboarding, professional services, internal migration teams — we license the platform so they can run every migration on it, with reusable templates and no headcount growth as volume grows.
Both run on the same engine. Every mapping proven, every row validated, every step logged.
The team
Kaan ran enterprise data migrations for Fortune 500 companies at Deloitte — ERP and CRM programs where a bad cutover meant real operational damage. Settle is built from that experience: every design decision traces back to a failure he watched happen on a real project.
Alex builds Settle's agent architecture — the discovery, mapping, and validation agents at the core of the platform. He took first place at Datadog's US-wide AI-agent hackathon and finished top three worldwide at Mistral's, and studied computer and data science at NYU.
Settle Data, Inc. · Based in New York
Talk to us about your migration.
Whether it's a one-time move or the fiftieth this year, we'll show you Settle running on your own schema.