Make your regulated data AI-ready in weeks, fully inside your security perimeter.
NexusOne is the composable data layer for banks, insurers, and asset managers. We unify your mainframe, Cloudera, warehouse, and cloud into one governed, AI-ready estate — in weeks, with no migration and no data leaving your region.
Getting AI pilots to production is a data problem, not a model problem
Your data lives across mainframes, Teradata, Cloudera, three clouds, and a policy admin system nobody wants to touch. Every AI vendor's pitch starts the same way: migrate to our platform first. Your regulators won't allow it. Your risk committee won't approve it. A three-year rip-and-replace for a six-month AI cycle is a bet no one wins.
Now add agents to the picture. Your Head of AI deployed them against the same fragmented estate. Your Head of Cyber wants to know what data they're touching. Your reporting team needs to know what modified the numbers before quarter close. Nobody has a FinOps model for agent spend on tokens or compute. And nobody knows what to do when one goes rogue.
The AI model was never the hard part. The context layer behind it — lineage, governance, cost attribution, human review — is what makes AI safe to put in front of a regulator.
There’s a better way.
NexusOne keeps what works, fixes what doesn’t, and connects your existing data to a modern, governed estate that’s ready for AI—without asking you for a long, expensive migration.
Turn your financial data into an asset for AI right away, not a migration project
NexusOne doesn't replace your core, your warehouse, or your legacy Hadoop. It lays over them.
Your data estate today
Data fragmented across mainframe, Teradata, legacy Hadoop, and three clouds.
Pilots run on sandbox copies. Nothing ships because sandboxes aren't audit-defensible.
Every new agent pattern demands another migration or another vendor lock-in.
60–80% of engineering time goes to Kerberos, upgrades, and maintaining pipelines.ernance bolted on individual vendor platforms
Credit, claims, and PII leave your perimeter the moment a cloud LLM gets involved.
Agents run with no FinOps model, no circuit breakers, no lineage for what they write
Regulators find data quality inconsistencies before you do. MTTR for reporting issues runs weeks.
With NexusOne
One layer federates every source behind one catalog, one identity, one policy model.
AI serving with lineage, audit trail, and human-review checkpoints regulators can inspect.
Inherit Hadoop, Spark, and warehouse workloads as-is without rewrites.
Patches, upgrades, and access policy run on the platform, not on your headcount.
Credit, claims, and PII never leave your VPC or your region.
Per-agent FinOps, a central agent registry, and automated circuit breakers for runaway agents.
Automated lineage testing catches data quality failures before they hit reporting. MTTR drops from weeks to hours.
Power AI applications and use cases for finance with NexusOne
Platform + People + Automation
Superior data technology
A composable, open data layer that lays over your existing stack. Unified catalog, Iceberg storage, semantic layer, air-gapped governance, 100% open standards. Kubernetes-native, on-prem, cloud, or hybrid — same architecture everywhere.
Forward-deployed engineers
Forward-deployed engineers who have built this inside Tier-1 banks. They sit with your teams in your region, deploy in your environment, and deliver production outcomes, not slide decks.
AI/ML-enabled operations
One-click HDFS-to-Iceberg migration. Kafka-free CDC. Schema translation. Policy generation. Dynamic agent governance. Months of plumbing, done in minutes.
Built for the work your team has to ship next quarter, not next decade
Achieve an AI-ready data layer in weeks, not years
5 hours
Deploy NexusOne, launch the control plane in your VPC, federate existing identities and migrate discovered policies.
5 days
Connect your entire estate across mainframe, warehouse, legacy Hadoop, cloud, and policy admin into one catalog. Go live with full data lineage and start shipping governed data products.
5 weeks
Power production AI apps and use cases. Turn on semantic layer, agent-ready endpoints, MRM scaffolding, and human review in production against priority AI use cases.
A Tier-1 global bank replaces legacy Hadoop and funds its AI agenda with the savings.
Ten-plus years of credit, risk, and transaction history on a sprawling Hadoop estate. Every modernization proposal on the table demanded a multi-year rip-and-replace — right as the bank was rushing to stand up its first production AI use cases.
$30M+
Cloudera license costs eliminated
$100M+
Hardware savings via serverless
30 Apps
Modernized for AI in under 4 weeks
0
Data leakage outside governed boundary
The Result
NexusOne laid a composable layer right over existing Hadoop and warehouses. Existing workload persisted, HDFS migrated to Iceberg formats with automated utilities and Spark jobs continued to run while delivering an AI-ready data layer to power consumer LLM assistant use cases.
The bank is now zeroing out legacy Hadoop license spend, safely decommissioning obsolete hardware, and running production AI on a sovereign fabric.
Built for security and compliance in highly regulated financial services
Your agents are already running. Is your data layer ready to govern them?
The banks getting AI right solved for data lineage, cost attribution, and agent governance before a regulator or rogue agent forced the issue.
Keep what's working
Your legacy Hadoop, warehouse, mainframe, and cloud stay without length and costly migration.
Design for open, soverign data
Data stays in your VPC and your boundaries so Agents work without data leaving your estate.
Build in air-gapped, 360 Agent governance
FinOps, circuit breakers, lineage, and a central registry from day one.
FAQs
How is this different from Snowflake or Databricks?
Both are proprietary destinations. We're an open layer that sits across them — plus your mainframe, your Cloudera, and your on-prem warehouse. Our customers run Snowflake and Databricks. We make the rest of the estate work alongside them.
We already have a tool for lineage and data quality.
Point solutions only cover one system or one workload. When credit models, regulatory reports, and AI agents all need the same governance layer, you need it baked into the data infrastructure — not stitched across three tools. NexusOne is the enterprise data layer those point solutions plug into, not another pocket alongside them.
Why not have our own team build this on open source?
You can, but doing so takes at least 18–24 months, eight full-time senior engineers, and a running tax on every upgrade and patch, which enterprises can no longer afford at the pace of the AI era. Our automation layer removes that tax so you keep the open-standards foundation without inheriting data pipeline maintenance.
How does the cost compare to what we run today?
NexusOne provides simple vCore pricing in a fully managed solution with bank-scale discounting on top of rack rate. In most engagements, NexusOne provides cost savings over legacy platforms we help sunset before counting the return on AI the platform enables.