Company
Decades of migration experience, brought together in one product
ZILO™ Migrate is built by ZILO™ Technology, the London-based AI-driven fintech behind the ZILO™ transfer agency, wealth and digital assets platforms.
ZILO™ Technology
Where the product comes from
A platform business, not a tooling vendor
ZILO™ Technology builds the digital-first platforms that transfer agents, wealth managers and digital asset businesses run their books on. Every one of those books had to be migrated in. That is where ZILO™ Migrate comes from.
Decades of migration behind it
The people who built the product have spent their careers moving books of business between core platforms in regulated financial services, with the sign-offs, dual-running and evidence packs that come with that.
Built for the regulated estate
ZILO™ operates under the scrutiny of regulated financial institutions every day. Security, resilience and auditability are conditions of doing business, and ZILO™ Migrate is built to the same standard.
Team
Migration specialists, paired with machine learning researchers
The ZILO™ Migrate team pairs specialists with 20+ years handling complex data migrations with PhD-level machine learning researchers. That combination of talent is the product, and it is unique in the market.
Domain first. The specialists decide what the harness has to prove before a load. Every control, gate and sign-off exists because they have needed it on a real book.
Research grade. The researchers build the harness that proves it. The reinforcement learning behind the air-gapped model is built in-house, by the same people who run it against client books.
Migration specialists
20+ years delivering complex data migrations, controls and sign-off on real books.
Machine learning
PhD-level research. The models and the harness are built in-house, not bolted on.
ZILO™ Migrate
One team. A unique product in the market.
How we work
Three disciplines, one loop
The product is the result of three teams working the same problem from different ends.
- 01
Migration specialists
Identify the hardest scenarios from real migrations, provide the sample books and the rules that break naive tooling, and define what the platform has to prove before a load.
- 02
Machine learning researchers
Benchmark those scenarios against frontier models, then fine-tune and reinforcement-learn a small model that performs the same complex migrations on par with the frontier, on-prem.
- 03
Platform engineers
Embed the agent and model in an enterprise-ready application: full data lineage, audit trails, version history, role-based access and the sign-off gates a regulated firm expects.