Orchestrate your entire data estate and deliver AI-ready data to every agent
Data tools should work together - not in siloes.
Your data lives across Snowflake, Databricks, Kafka, on-prem systems, and a mainframe running 40% of revenue: five identity models, three governance configs.
Every new AI use case adds weeks of custom integration before you can build
Engineers spend 80%+ of their time keeping the glue from breaking. Agents stall the moment they need two systems at once.
Don't reinvent the wheel.
Deliver FAANG-level data capabilities today and get AI ready in weeks, not years.
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
Platform
The last data architecture you’ll ever need.
Data platforms leave you submitting tickets for features that you needed yesterday.
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 deployment, maintenance, and upgrades.
Trained on hundreds of enterprise deployments, NexusOne's automations know how the tools relate, what breaks when configs change, and how to keep the layer healthy without hand-holding.
Intelligent deployment and upgrade workflows.
AI-driven scripts sequence startup order, pass credentials from Keycloak to Ranger to Gravitino to Trino, and validate cross-system connectivity before go-live. No six-month Terraform orchestration or Helm-chart archaeology. The same workflows monitor the environment, detect drift, auto-heal configs, and flag anomalies before they become incidents.
Self-generating governance and quality rules.
Workflows analyze data as it enters the estate and suggest quality rules, classification tags, and policies. The governance envelope gets smarter as the estate grows, adapting as new sources and schemas come online.
Automated data operations that replace manual pipelines.
One-click CDC mirrors source systems into Iceberg without Kafka, handling schema mapping, conflict resolution, and incremental sync. Ingestion auto-detects formats (CSV, Parquet, EBCDIC, Excel) and applies transforms, encryption, and type conversion inline. Mutation Hooks inject the right identity, permissions, and resource queue into every Airflow task, Spark job, and JupyterHub session.
Power AI agents with complete semantic context
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.
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
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
AI request control
None, or per-platform only
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
AI request control
One control plane: route, govern, record every request
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
AI request control
Bolt on a separate AI gateway and wire it yourself
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.
