Orchestrate your entire data estate and deliver AI-ready data to every agent
The NexusOne Solution
Platform + People + Automation
Superior data technology
85+ open-source tools pre-integrated into one cross-estate operational plane
Forward-deployed engineers
Expert builders who accelerate outcomes for your unique environment in weeks, not years
AI/ML-enabled operations
Zero-touch, serverless configuration that deploy, govern, and self-heal across every system

Data tools should work together - not in siloes.
Your data lives across Snowflake, Databricks, Kafka, on-prem systems, and a mainframe running 40% of your revenue. That alone means five identity models and three governance configurations. Every new AI use case adds weeks of custom integration before you can build anything.
Engineers spend >80% of their time keeping the glue from breaking. AI agents stall the moment they need data from two systems. Governance gaps multiply at every boundary.
NexusOne is the cross-estate layer that connects everything you already have — and builds seamlessly on top of data warehouses, on-prem and legacy systems, cloud providers and apps, and anything else you might have today.
Don't reinvent the wheel.
Deliver FAANG-level data capabilities today and get AI ready in weeks, not years.
Platform
The last data architecture you’ll ever need.
Data platforms leave you submitting tickets for features that you needed yesterday.
Power AI agents with complete semantic context across your entire estate
One identity model across every system. Deliver governed data products with full lineage, meaning, and relationships — drawn from every system in your estate, legacy or cloud — so agents reason accurately from day one.
Reach every system.
Federate and catalog across mainframes, on-prem databases, and cloud warehouses — including sources no other catalog can see.
Universal agent identity.
Agents get their own scoped roles, governed by the same cross-estate policy model as human users, enforced at every corner.
Context built in.
AI-generated semantic models with lineage, glossary, and quality rules baked into every data product.
Discover, act, audit.
Agents discover data products via APIs and MCP endpoints, take actions through write-back federation, and every action is audited cross-estate.
People
Forward-deployed, expert engineers who wire your data estate together
Accelerate outcome delivery with NexusOne forward-deployed engineers: platform specialists who have connected environments like yours before, operating on the front lines with a platform they’re already experts in.
Automation
Native AI/ML automations accelerate workflows, maintenance, and deployment
NexusOne ships with AI/ML automations and workflows purpose-built to make deploying, maintaining, and upgrading data systems a breeze. These proprietary automations trained on hundreds of enterprise deployments understand how tools relate to each other, what breaks when configurations change, and how to keep the entire layer healthy without human intervention.
Intelligent deployment and upgrade workflows
AI-driven deployment scripts manage the interdependencies between data tools automatically — sequencing the right startup order, passing credentials from Keycloak to Ranger to Gravitino to Trino, bootstrapping shared database objects, and validating cross-system connectivity before going live. No more manual Terraform orchestration or Helm chart archaeology that take six+ months to build. The same AI-native workflows that deploy your environment also continuously monitor it — detecting drift, auto-healing configurations, and flagging anomalies before they become incidents.
Self-generating governance and quality rules.
AI/ML workflows analyze your data as it enters the estate and suggest quality rules, classification tags, and governance policies, learning from patterns across schemas, tables, and relationships. The governance envelope doesn't just stay current — it gets smarter as your estate grows, continuously adapting policies and quality gates as new data sources, new schemas, and new workloads come online.
Automated data operations that eliminate manual pipelines.
Native ML-enabled workflows compress multi-step data operations into single intelligent actions. One-click CDC mirroring replicates source systems directly into Iceberg without Kafka, and scripts automatically handles schema mapping, conflict resolution, and incremental sync. Ingestion workflows auto-detect file formats (CSV, Parquet, EBCDIC, Excel), suggest transformations, and apply encryption, renaming, and type conversion inline without separate ETL pipeline to build or maintain. Mutation Hooks automatically inject the correct identity, permissions, and resource queue into every Airflow task, Spark job, and JupyterHub session.

From wherever you are today, to AI-ready in weeks, not years.

Top 3 US Bank eliminated $130M+ in legacy maintenance and hardware cost, modernizing 30 applications for AI in under 4 weeks.
Replaced legacy Cloudera, MapR, and Hortonworks platforms with one NexusOne layer. One universal identity and governance model now spans hybrid cloud environments enabling production AI workloads with modernized infrastructure on top of existing legacy Hadoop.

The Small Business Financial Exchange (SBFE) connects 160 financial institutions to automate 166 audits/year with a single managed layer.
30 years of small business historical credit data is now governed through one universal layer to pass every audit for >90% of the small businesses in the US in one fully managed, outcome-focused solution, resulting in zero data drift.
We take on the data challenges no one else will
Data Platforms
Architecture
Vertical — one workload, one boundary
Identity
Per-platform silos
Governance
Stops at platform boundary
Ai Readiness
Agents limited to one platform's data
Time to Production
6–18 months
Lock-in
Proprietary formats trap data
Expert Builders
Additional managed professional service cost
NexusOne
Architecture
Horizontal — across the entire estate
Identity
One universal model, every system
Governance
One envelope, no gaps
Ai Readiness
Agents traverse the entire estate
Time to Production
5 weeks
Lock-in
Zero — open formats, open standards
Expert Builders
Included forward-deployed engineers from day one
DIY
Architecture
Fragmented — 15 tools, no connections
Identity
Per-tool configuration
Governance
Manual, per-tool
Ai Readiness
Custom integration per use case
Time to Production
1–3 months per tool, ongoing integration
Lock-in
Tool-dependent
Expert Builders
Hire and build out internal org

Built for the strictest compliance requirements.
One security model across every system. Cell-level encryption. Row-level security. Agent permission impersonation. VPC isolation. 500+ audits/year passed at production customers — including 166/year at SBFE and 500+/year at Alight.













