Enterprise Data AI — Semantic Layer
Your data already has the answers.
Lumin Data is the semantic layer between your business questions and your ERP, CRM, and data warehouse — so you get verified answers in minutes, not days.
This is the day your Finance Manager, FP&A analyst, or account lead is living right now. And what changes when they stop waiting.
You Slack the BI team. They’re backlogged until tomorrow.
Which cost centers? Which currency? Include or exclude returns?
Numbers don’t match expectations. Request a correction.
The board meeting was this morning. You improvised.
You open Lumin Data and type the question exactly as asked.
Business filters applied, joins verified, currency normalized automatically.
Numbers, sources, and semantic path. Board-ready in 2 minutes.
You spent the time preparing commentary, not chasing data.
ERP and CRM schemas grew over years. Column names are cryptic. Business logic is buried in joins no AI can infer. “Active customer” means something specific in your business. No generic AI knows what that is without the semantic layer, i.e. Lumin Data.
Your CFO thinks in revenue, risk, and performance. Your systems store tables, columns, and foreign keys. There is no direct mapping between those two worlds. That gap is where every AI pilot eventually breaks.
AI-generated SQL runs without error and returns plausible numbers. Wrong joins, missed filters, ignored business rules. Decisions get made on confidently incorrect data. By the time someone catches it, the meeting is over.
Most AI projects fail because the path was wrong from the start. We help you design the right one before you invest in the wrong one.
Lumin Data breaks down your question into entities, filters, metrics, and timeframes before any query runs. It maps your language to business concepts, not database column names.
Lumin Data connects how your business thinks to how your data is stored. It knows your business rules: what “active customer” means, what “revenue” includes, which joins are safe.
SQL is generated from a structured, verified semantic path, not from prompting alone. Every answer is explainable, traceable, and consistent. The same question asked twice gets the same answer.
Lumin Data isn’t built for data engineers. It’s built for the people who need answers from data but have always had to go through someone else to get them.
CFOs and Finance Managers ask revenue, variance, and budget questions directly. No analyst, no 2-day wait. Numbers are verified against your ERP and ready for the boardroom the moment you need them.
“Show Q3 revenue by product line vs Q2, excluding intercompany transactions.”
Account managers ask about any client in plain language and get a unified view from CRM, contracts, and order history, in seconds. No toggling between systems. No waiting for a data pull before a client call.
“Which of our top 20 accounts have declining order frequency in the last 60 days?”
Operations leaders ask questions that currently require four different systems and a custom report. Lumin Data crosses those systems in a single query, with business context applied automatically.
“Where are our on-time delivery rates below 90% and what’s the cost per incident?”
Risk and compliance teams ask monitoring questions anytime, without writing a query or waiting for a scheduled report. Catch the signal before it becomes the problem that lands in a board report.
“Which supplier accounts have had payment term changes and a credit limit increase in the last 90 days?”
We stopped waiting two days for BI reports. The CFO now asks questions directly and gets board-ready numbers in minutes.
CDO, European Energy Company (TSO)
The wrong-but-confident answer problem was our biggest blocker. Lumin Data fixed that before we ever went to production.
VP Data & Analytics, Regulated Financial Services
You don’t need to be technical to use Lumin Data. You just need to be tired of waiting for an answer you should be able to get yourself.
You need numbers fast. For the board, for investors, for decisions that can’t wait two days. Lumin Data gives your finance function direct access to verified ERP answers without touching a single report.
Every account question currently takes a data pull. With Lumin Data, your team asks in plain language and gets cross-system account intelligence such as contract value, order history, and renewal risk in seconds.
The biggest drain on your team isn’t building. It’s fielding the same data requests over and over. Lumin Data lets business users answer their own questions, so your team focuses on what AI can’t do.
Most AI projects fail because the path was wrong from day one. We help you design the right path before you invest in the wrong one.
Map your highest-value question
We review your current systems, identify the semantic gaps, and agree on where to start. You leave with a concrete architecture recommendation, not a vague roadmap. Takes half a day. No commitment required beyond that.
Best if: you’re evaluating whether this is the right approachTechnical review before you build
A detailed look at your data infrastructure, schema complexity, and AI readiness. We produce an ontology design blueprint and a risk and feasibility report so your team knows what the build actually involves before it starts.
Best if: you have a use case and need a build planWorking prototype on your real data
We build on your actual schema, for your actual business question. You get measurable accuracy benchmarks before committing to full delivery. If it doesn’t perform against your use case, you don’t proceed. That’s the deal.
Best if: you need internal sign-off before full investmentA lumen is the measure of light that actually reaches you, not the light that's emitted, but the light that illuminates. Lumin Data works the same way: your business intelligence already exists inside your systems. The answers are there. We build the semantic path that makes them visible. Clearly, instantly, whenever you need them. No intermediary. No wait. Just light on the data that was always yours.
Bring one real question your business asks today, such as revenue by product line,
account risk, supplier changes, or operational performance. We’ll show how Lumin Data
maps the question to your business concepts, data sources, rules, and semantic path
before returning a verified answer.
Practical answers about Lumin Data, semantic layers, conversational business intelligence, knowledge graphs, governed data access, ERP and CRM data, SQL generation, auditability, and verified AI-generated answers.
Lumin Data is IWConnect’s semantic layer for conversational business intelligence. It connects business questions to ERP, CRM, and data warehouse sources through a governed knowledge graph, business rules, controlled query generation, and an auditable path from question to answer.
A generic chatbot can produce answers that sound correct without fully understanding business definitions, data lineage, or schema rules. Lumin Data uses a semantic layer, ontology, knowledge graph, and governed query path so business questions are mapped to approved concepts, sources, rules, and calculations before an answer is returned.
A semantic layer translates business language into governed data logic. It defines business terms, metrics, relationships, rules, synonyms, and source mappings so users can ask questions in natural language while the system connects those questions to the correct data structures.
Lumin Data reduces unsupported answers by grounding AI responses in a governed semantic layer. It decomposes the question, maps business terms to approved definitions, applies ontology and schema rules, generates controlled queries, and returns a verified answer with a traceable semantic path.
Lumin Data interprets the user’s intent, identifies entities, metrics, filters, timeframes, and business terms, then maps them to the relevant ERP, CRM, data warehouse, lakehouse, or reporting source through the semantic model and knowledge graph.
The knowledge graph connects business concepts, data entities, metrics, relationships, synonyms, rules, and source systems. It helps Lumin Data understand what a business question means and which governed data path should be used to answer it.
Yes. Lumin Data can support controlled SQL generation, but the query is guided by the semantic layer instead of being generated from raw database structure alone. This helps ensure that business definitions, filters, joins, calculations, and source mappings are applied correctly.
Lumin Data keeps answers auditable by showing the semantic path behind the answer. That path can include the interpreted question, mapped business terms, selected sources, applied rules, generated query logic, and the data lineage used to produce the result.
Lumin Data is built for business and data teams that need trusted answers without waiting in the BI queue. It is useful for CFOs, finance teams, FP&A teams, sales leaders, account managers, operations teams, supply chain teams, risk teams, compliance teams, CDOs, and analytics leaders.
A focused Lumin Data prototype can typically be built in 2 to 8 weeks, depending on the number of business questions, data sources, semantic definitions, integrations, governance needs, and the complexity of the underlying schema.
The best starting point is one high-value business question that is currently slow, manual, or dependent on analysts. IWConnect can map that question to the relevant business concepts, source systems, rules, and semantic path, then show how Lumin Data returns a verified answer.
By signing up for the waiting list now, you'll secure your spot for early access and claim these valuable benefits.
