Blueprint Report Engine™
Unify your data sources. Answer questions that span them.
Your data lives in systems that don't talk to each other.
01
Sources don't match
Your ERP says €26.8M. Your CRM says €27.1M. Your board deck says something else. Nobody trusts the numbers.
02
Data lives in spreadsheets
Forty quarterly reporting sheets from twelve regions. The real data is there, but nobody can query it.
03
Cross-source questions fail
“Which PLC lots correlate with Q3 returns?” “Which campaigns produced deals that didn’t churn?” Today, unanswerable without a 6-month data project.
The problem is not the query interface. The problem is that the data was never unified.
Three pillars. One engine.
01
Semantic Unification
The tool recognizes that revenue, net_rev, Umsatz, and sales_total are the same concept, across tables, sheets, and systems.
02
Universal Connectivity
From Redshift to Oracle to SAP, and anything else. Pre-built connectors for the common stack, custom connectors for everything else.
03
Cross-Source Verification
Once your sources are unified, verification is automatic. The same number across systems, or a clear trace of why they differ.
One concept.
Five different names. No problem.
ERP (SAP)
sales_total
Salesforce
net_revenue
Excel · Q4
Umsatz
Oracle DB
gross_income
NetSuite
rev_amt
UNIFIED CONCEPT
Revenue
The engine proposes the mapping. You confirm or override once, it’s learned for good.
Connect to anything.
Pre-built for the common stack. Custom for everything else.
DATA
Databases & warehouses
→ PostgreSQL, MySQL, SQL Server → Oracle, IBM DB2 → Snowflake, BigQuery, Redshift → Databricks, MongoDB
APPS
Applications
→ SAP, Oracle ERP, NetSuite → Salesforce, HubSpot → QuickBooks, Workday → Any REST or SOAP API
CUSTOM
Custom & on-prem
→ PLCs & historians (OPC UA) → BMS & facility systems → Proprietary APIs → Legacy on-prem databases
If you have a data source, we connect to it. Custom connector timelines are part of the scoping conversation.
The spreadsheet-to-SQL engine.
Your real data is in Excel. We make it behave like a database.
What you have
Q1_2025_EU_Sales.xlsx Q1_2025_NA_Sales.xlsx Q2_Regional_Master_v3.xlsx Budget_vs_Actual_DACH.csv Consolidated_Q3_FINAL_v7.xlsx …and 35 more
One queryable source
→ Schemas reconciled. → Column names mapped to semantic concepts. → Duplicates detected. → Version conflicts surfaced for review.
When sources disagree, we show you why.
Q4 REVENUE ACROSS SOURCES
ERP
€26,847,231
Data warehouse
€26,847,231
CFO spreadsheet
€26,847,231
Sales dashboard
€26,892,445
ROOT-CAUSE TRACE
€45,214 difference.
→ Traced to 3 transactions on Dec 31, 23:47 CET. → Recorded in dashboard, not yet posted to ERP (posts at midnight). → This is a timing difference, not an error. → Acknowledge once, the pattern is remembered for future periods.
Type. Ask. Done.
Natural-language prompt in. Full verified report out, charts, tables, narrative, export.
Show me Q3 revenue by region, across SAP, Salesforce, and the CFO sheet.
Q3 REVENUE · RECONCILED ACROSS 3 SOURCES
North America
€12.4M
Europe
€8.2M
APAC
€4.1M
LATAM
€2.1M
Sources match for NA, APAC, LATAM. Europe: €45K gap, timing difference, not an error.
~2sec.
Show me Q3 revenue by region, across SAP, Salesforce, and the CFO sheet.
FEATURES
→ Natural language in → Charts auto-picked → Verification built in → Export anywhere → Follow up, don’t restart
From scattered sources to questions you can trust.
01
Connect
Standard and custom connectors to every source. Spreadsheets included.
02
Unify
The engine proposes semantic mappings. You confirm once. It’s learned.
03
Verify
The same metric compared across sources. Discrepancies traced, not hidden.
04
Query
Ask in natural language, or keep using SQL and BI tools you already have.
05
Report
Custom reports combining sources that have never shared a view before.
Built for any enterprise with three or more data sources.
Manufacturing
PLC HISTORIANS + ERP + QA
“Which supplier lots correlate with Line 3 defects?”
Facilities / BMS
SENSORS + CRM + BILLING
“Which high-consumption tenants are at renewal risk?”
Marketing ops
AD PLATFORMS + CRM + PRODUCT
“Which campaigns produced deals that didn’t churn?”
Finance / FP&A
ERP + CRM + SPREADSHEETS
“Why does forecast disagree with pipeline?”
Supply chain
ERP + SUPPLIER PORTALS + LOGISTICS
“Where is supplier concentration rising unnoticed?”
Three or more systems, one question that spans them. Unanswerable today without a data project.
What we are, and aren’t.
We won our wedge by being clear about where we don’t compete.
WE ARE NOT
Power BI Copilot.
They query one data surface; we unify across yours.
ThoughtSpot.
They need your data modeled first; we propose the model.
BlackLine.
They run financial close; we sit upstream of it.
A fraud tool.
Continuous anomaly detection is in Blueprint Sentinel.
WE ARE
The unification layer for heterogeneous enterprises.
→ We connect the sources nobody else combines. → We reconcile the concepts that are named differently everywhere. → We answer the questions that required a data project, without the project.
Real numbers. Honest math.
The value isn’t a flashy multiplier. It’s answering questions you couldn’t answer before.
FASTER TIME TO ANSWER From weeks (new data project) to days or hours (add a source, confirm mappings, ask).
AVOIDED PER QUESTION Traditional: engineer a pipeline, model, and report for every new question.
VALUE PER NEW SOURCE Connect source four and the value of the first three doubles. Every new source compounds what you can ask.
Indicative ranges. Real numbers for your environment are part of the scoping conversation.
Deployed where your data lives.
DEPLOYMENT
SaaS
Fully managed by Bloomteq.
Dedicated cloud
Your VPC, our managed stack.
Hybrid
Interface in cloud, queries stay on-prem.
On-premise
Fully self-hosted, for regulated industries.
TRUST POSTURE
Proposals, not assertions
A human confirms every semantic mapping before it becomes production logic.
GDPR ready
EU data residency by default. Role-based access, full audit logging.
No training on your data
Your schema stays yours.
A pilot in weeks. Not a warehouse in months.
- Your sources, volumes, and pilot-worthy first question - Connector inventory, pre-built, custom, spreadsheets - Deployment fit and realistic pilot timeline
30-min discovery“Their ability to combine strong engineering with clear product thinking made a real difference for our teams. Communication was smooth, delivery was consistent, and the results exceeded expectations.”
— Head of Engineering, Global Industrial Client
1/3 What are you building?