Orchestrate your entire data estate and deliver AI on your terms
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 automates integrations, logic, security, and deployment across your entire data estate
Data tools should work together - not in siloes.
You probably have Snowflake for analytics, Databricks for ML, Kafka for streaming, a legacy data lake, and a mainframe somewhere running 40% of your revenue. That means five different identity models, three different governance configurations, and every new AI use case requiring weeks of custom integration before you can ever start building.
Your best engineers spend >80% of their time firefighting system maintenance instead of building for AI. AI pilots can't scale because agents hit a wall the moment they need context outside a silo. Governance gaps proliferate at every boundary between tools, threatening policy exceptions at any time.
Don't reinvent the wheel.
NexusOne was built to deliver FAANG-level data capabilities today - in weeks, not years.
Platform
The last data architecture you’ll ever need.
Data platforms leave you submitting tickets, and hoping for features that you needed yesterday.
Power AI agents with complete semantic context from across your estate - on-premises or cloud.
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 $30M+ in legacy maintenance cost, modernizing 30 applications for AI in 5 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
Built for the strictest compliance requirements.
One security model enforced across every system in the estate. Cell-level encryption. Row-level security. Agent permission impersonation. VPC isolation out of the box. 500+ audits per year at production customers.
