Enterprise Data Fusion
Unify Your Data for AI
In Days, Not Months
Workstation combines traditional data science with generative AI to unify fragmented data across every system you run. We make your legacy data legible for AI, analytics, and decision-making, without the year-long roadmap or the six-figure team.
"63% of organizations say they don't have the right data management practices in place for AI."
Gartner (survey of 1,203 organizations)
The Problem
The Data Project
Every enterprise eventually embarks on The Data Project. You gather requirements, purchase a stack of tools, and hire a team of data engineers. Then the timelines slip, the costs climb, and the requirements change underneath you.
$12.9M
lost per year per org to poor data quality
9 mos.
before anyone sees a dashboard
5 FTEs
and 7 tools to connect just a handful of sources
The data exists, but nobody trusts it. Employees still lose hours to inconsistent results, manual verification, and conflicting definitions across systems.
AI has only made the gap harder to ignore, demanding real-time access, multi-system queries, and semantic understanding that no traditional pipeline was built to deliver.
The Answer Is Not
Another copy of Your Data
The answer to thirty-seven fragmented data sources is not creating a thirty-eighth copy of your data. Workstation takes a fundamentally different approach: instead of extracting, transforming, and loading your data into yet another warehouse, we go directly to the source and layer AI-powered understanding on top of the systems you already have.
CAPABILITIES
From Connectors to Context: Instantly AI-legible, unified data
Workstation's agentic data platform replaces the traditional data engineering stack with three integrated capabilities: each designed to move you from fragmented sources to unified, trusted, AI-ready data in days.
Unify Everything. Copy Nothing.
Workstation's virtual data fusion layer accesses your data directly at the source — mainframes, cloud applications, legacy systems, databases, spreadsheets, and documents — without migration, ETL pipelines, or warehouse builds. Your data stays where it lives. Workstation reads it in place.
Pre-built connectors support the tools you already run, new sources connect in minutes, and structured and unstructured data are unified in a single interface.
Structured and unstructured data are unified in a single interface. There is no separate workflow for documents, no separate tool for databases. One platform, every source.
Start querying in hours, not months. No new infrastructure to build or maintain.
Salesforce → "Customer"
Context mapped
ERP → "Account"
Context mapped
Workstation → Unified Entity
From Raw Data to Business Meaning Automatically
For AI to deliver accurate answers, it needs to understand what your data means, not just where it lives.
Workstation's AI-powered semantic layer automatically reconciles how the same entity is defined across different systems. "Customer" in Salesforce, "account" in your ERP, "organization" in your application database — all resolved into a unified business context that every team member and every AI agent can use..
Just like your business, the context is not static. The context layer continues to build over time and is shared across your workspace. When one team creates additional context for a use case, every subsequent use case benefits.
Build once, use everywhere. Shared workspace context means new use cases do not require starting over.
Speed Without Accuracy Is Useless
Fast access to unified data means nothing if you can't trust the answers it produces. Workstation embeds data quality and governance directly into the platform, present in every query and every response from day one.
Data quality scoring evaluates connected sources automatically, surfacing inconsistencies, hidden patterns, and outliers before they become bad decisions.
Full data lineage traces every AI response back to its source, showing exactly which systems, tables, and records informed an answer and how data flows downstream.
Audit-ready governance provides the security controls, access management, and usage tracking that enterprise compliance requires. Every interaction is logged and every access is controlled.
Governance is not a phase of the project. It is embedded in every query, every response, every workflow — from day one.
Data Conflict Detected
Mismatched revenue figures across Q3 sources.
Review
Quality Score: 98/100
Source: Customer Database v2
Verified
Access Logged
Semantic Layer Query - 11:42AM
Audit OK
For the complete enterprise security and architecture story
Enterprise Architecture & Security
From connectors to context, in days not months.
A 20-minute conversation to see how Workstation can unify the data you rely on today.
No sales pressure, just a frank discussion about your needs.
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