Unified lakehouse
Core, card, lending, and third-party data land in one open lakehouse, giving the institution a single, consistent source of truth.
A data-first lakehouse that unifies your banking data, runs real-time analytics, and feeds feature stores into AML, risk, and lending models, with governance built in. The foundation every model depends on, built once and shared across the institution.
Bank data lives in core systems, card processors, and a dozen point solutions that were never meant to talk. Analytics runs on stale extracts, every model team rebuilds the same features, and no one can prove where a number came from. AI on top of that foundation inherits all of it.
Core, cards, lending, and point solutions each hold a slice. No single view exists, so every question requires stitching systems by hand.
Nightly batch extracts mean decisions are made on yesterday's picture. Fraud and risk need signal as it happens.
AML, risk, and lending each engineer the same inputs in isolation, with no shared store and no agreement on definitions.
Supervisors expect to know where data came from and who touched it. Ungoverned pipelines cannot answer that question.
A lakehouse that brings every source into one governed platform, serves it in real time, and feeds the same trusted features to every model that needs them.
Core, card, lending, and third-party data land in one open lakehouse, giving the institution a single, consistent source of truth.
One governed store of model features, computed once and served to AML, risk, and lending alike, so teams stop rebuilding the same inputs. This is where data turns into AI leverage.
Streaming ingestion and low-latency queries put fresh signal in front of fraud, risk, and operations as events happen.
The same trusted features feed compliance, risk, and credit models, so every decision draws on one consistent view of the member.
End-to-end lineage, access controls, and quality checks make the platform something an examiner can inspect and trust.
Built on open table formats, so your data stays portable and is never trapped in a proprietary warehouse.
Real infrastructure you can read and run, not slideware.
Across AI infrastructure, data platforms, feature stores, and real-time analytics.
The data stack is built on open formats and published tooling, so the platform can be audited and run rather than trusted on faith.
One governed foundation feeds every model, so AI is grounded in data you can trace and defend.
License the IP, resell it under your brand, or co-build with our team. Deployable into any regulated market.
Book a discovery call →Get a tailored walkthrough and a straight answer on fit, timeline, and cost for your institution.
Model-agnostic · integrates with the AI platforms you already trust
ACM Global Tech is an ecosystem partner of Hanzo.ai and Lux Network and a member of the W3A (Web3 Alliance), pairing enterprise-grade agentic AI with institutional tokenized-finance and settlement infrastructure.
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