First of its kind

Business intelligence
without the barrier.

Ask questions in plain language. Get answers grounded in your company's actual data - not hallucinations. Laohu is the AI-native BI platform built to replace complexity with clarity.

Launching 2026Europe-first rollout
Finance Monthly Report/ Mar 2026
Interactive Demo
Revenue
EUR 14.2M
+4.8%vs budget
EBITDA
EUR 3.1M
+2.0%vs budget
Net Income
EUR 1.8M
+2.1%vs budget
OpEx Ratio
68.2%
-0.7ppvs prior
Cash
EUR 8.4M
+EUR 1.2Mvs Feb
P&L SummaryGroup (Consolidated) | EUR thousands | vs Budget
Line ItemActualBudgetVarVar %
Revenue14,21813,5606584.9%
Cost of Sales(8,142)(7,980)(162)-2.0%
Gross Profit6,0765,5804968.9%
Personnel(2,840)(2,900)602.1%
Infrastructure(520)(480)(40)-8.3%
Sales & Marketing(380)(420)409.5%
Other OpEx(195)(200)52.5%
EBITDA3,1413,080612.0%
D&A(480)(470)(10)-2.1%
EBIT2,6612,610512.0%
Interest(120)(130)107.7%
Tax(718)(694)(24)-3.5%
Net Income1,8231,786372.1%

Business intelligence is not about flashy colors.
It's about correct numbers.

80% of analyst time goes to repetitive requests. Type a question, get a validated dashboard in seconds.

New Report
Ask anything about your data
Type a question. Get validated numbers.

Why Laohu

The BI platform that eliminates the middleman.

Zero SQL Required

Ask. Don't query.

Type a question in plain language. Laohu translates intent into precise analytical actions - no DAX formulas, no pivot tables, no training.

Company Memory

An AI that knows your business.

Laohu builds a memory of your schema, terminology, and past queries. It doesn't guess - it reasons from your actual data context. No hallucinations.

Efficiency at Scale

80% of analyst time, reclaimed.

Repetitive reporting requests bottleneck every data team. Laohu handles them instantly so your analysts focus on strategy, not backlog.

Enterprise Trust

Validated before you see it.

Every answer is pre-validated against your schema, checked for anomalies, and delivered with a confidence score. Built for decisions that matter.

Company memory

An AI that remembers your business.

Correct the AI once. It remembers forever. Schema, definitions, terminology, past corrections - all stored as persistent memory that makes every future answer more precise.

AI Assistant
Memory active
Teach the AI about your business...

Report editor

Click. Configure. Done.

Every element on your report is configurable. Click any KPI card, chart, or table to see its data source, appearance, conditional formatting, and position. No code. No formulas. Just point and configure.

Try it - click any element on the canvas

FileEditInsertFormatData
EditingTheme: CorporateSave
OverviewP&L DetailBalance SheetCash Flow+

Your data, structured

From raw tables to business-ready metrics. Automatically.

Laohu discovers your schema, builds transformation pipelines, and creates a semantic layer where every metric has an approved definition. Click the tabs to explore each step.

Data Model/ Schema
6 tablesStar Schema
N:1N:1N:1fact_ordersorder_idPKcustomer_idFKproduct_idFKdate_keyFKrevenueDECIMALquantityINTdim_customerscustomer_idPKcompany_nameVARCHARregionVARCHARsegmentVARCHARdim_productsproduct_idPKproduct_nameVARCHARcategoryVARCHARunit_priceDECIMALdim_datedate_keyPKfull_dateDATEfiscal_yearINTquarterVARCHAR
All Tables

Built-in trust

Every answer validated against what your business already knows.

Laohu cross-checks every query against your schema, approved metric definitions, and correction history before it reaches you. Your company memory is the validation layer.

Query ValidationAll checks passed
User Query

"Show me total revenue by region for Q1 2026, compared to Q1 2025"

Schema Validation
Tables 'orders', 'customers' exist with valid join on customer_id
Metric Resolution
Using approved definition: revenue = SUM(orders.amount) - SUM(orders.discount)
Date Range Verification
Q1 2026 (Jan–Mar) and Q1 2025 data both available in source
Query Structure
Generated SQL validated - GROUP BY region, filtered by date range, no cartesian joins
Result Sanity
Totals within expected range (€1.8M–3.2M). No null regions. All 4 regions present.
Anomaly Detection
DACH region shows +42% YoY - flagged as notable but within plausible range
Confidence Score
Based on schema match, metric definitions, and result validation
96%
High Confidence

10-minute onboarding

From zero to dashboard. No code. No consultants. No training.

Step 012 minutes

Connect your data

Point Laohu at your existing data warehouse - Postgres, MySQL, Snowflake. No data movement. No ETL pipelines. Just a connection string.

Step 023 minutes

AI reads your schema

Laohu's AI agent automatically discovers tables, relationships, data types, and builds a semantic understanding of your data landscape.

Step 035 minutes

Ask your first question

Type a question in plain language. Laohu translates your intent into a precise query, validates the result, and delivers a dashboard - ready to share.

Step 01 - Connect

Data Sources+ Add Connection
PO
PostgreSQL
prod-warehouse.eu-central-1
Connected
SN
Snowflake
Available
MY
MySQL
Available
RE
REST API
Available
EX
Excel Upload
Available

Step 02 - AI discovers schema

Data Model
4 tables3 relationshipsStar Schema
N:1N:1N:1fact_ordersorder_idPKcustomer_idFKproduct_idFKdate_keyFKrevenueDECIMALquantityINTdiscount_pctDECIMALdim_customerscustomer_idPKcompany_nameVARCHARregionVARCHARsegmentVARCHARcredit_limitDECIMALdim_productsproduct_idPKproduct_nameVARCHARcategoryVARCHARunit_priceDECIMALdim_datedate_keyPKfull_dateDATEfiscal_yearINTfiscal_quarterVARCHARmonth_nameVARCHARis_weekendBOOL

Step 03 - Full setup wizard

Getting Started

Connect your data warehouse

Select your database type and enter connection details. Your data stays in your infrastructure.

PO
PostgreSQL
SN
Snowflake
MY
MySQL
Host
prod-warehouse.eu-central-1.rds.amazonaws.com
Port
5432
Database
analytics_prod
Username
laohu_readonly
Password
••••••••••••
Connection verified - 47 tables found
Continue to Schema Discovery →

Zero switching cost

Bring your Power BI reports with you.

Import your existing .pbix files directly. Laohu converts your data models, DAX measures, relationships, and visualizations into native format. Years of work - preserved in minutes.

What gets imported

  • Data model relationships and table structures
  • DAX measures converted to native calculations
  • Visualizations mapped to equivalent chart types
  • Filters, slicers, and cross-filter configurations

Query in place

Laohu connects directly to your existing data warehouse. No data pipelines. No data movement. No duplication. Your data stays exactly where it is.

PBIX Import3 reports imported
Q1 Revenue Dashboard.pbix
4.2 MB
Imported
Tables
12
All mapped
DAX → Native
28
Converted
Visuals
8
Recreated
Sales Pipeline Analysis.pbix
2.8 MB
Imported
Tables
8
All mapped
DAX → Native
15
Converted
Visuals
6
Recreated
Finance Monthly Report.pbix
6.1 MB
Converting...
Tables
18
DAX → Native
42
Visuals
14
Converting DAX measures...67%

Enterprise-grade security

Security isn't a feature. It's the foundation.

Laohu is designed for organizations where data governance isn't optional. We query your existing warehouse in place - your data never leaves your infrastructure.

GDPR Compliant

Built for European data regulations from day one - not bolted on as an afterthought. Full DPA support, right to deletion, data portability.

SOC 2 Type II

Enterprise-grade security controls independently audited. Your data handling meets the highest industry standards.

ISO 27001

Information security management certified. Systematic approach to protecting sensitive business data.

EU Data Residency

Your data stays in the EU. No transatlantic transfers, no US cloud dependencies. Hosted on European infrastructure.

SSO & SAML

Azure AD, Okta, Google Workspace - integrate with your existing identity provider. One login, full access control.

Row-Level Security

Control who sees what at the data level. Sales sees sales, finance sees finance. Granular, automatic, audited.

Access control & audit logging

Security & Access Control
GDPR CompliantEU-West-1
Row-Level Security Rules
S
Sales - DACH
12 users
Filter Rule
region = 'DACH'
Access
orders, customers, pipeline
S
Sales - Nordics
8 users
Filter Rule
region = 'Nordics'
Access
orders, customers, pipeline
F
Finance
5 users
Filter Rule
dept = 'finance'
Access
All tables (read-only)
E
Executive
3 users
Filter Rule
No restrictions
Access
All tables

The cost of complexity

Every hour your team spends wrangling dashboards is an hour lost.

%

of analyst time on repetitive requests - eliminated.

×

faster from question to insight versus traditional BI.

lines of SQL required. Ask in your language, any language.

Share with your team in one click

Share Report
Q1 Revenue Dashboard
Last edited 2 hours ago · 8 visuals
Share with
MJ
Maria Jensen
Can view
KA
Karl Andersen
Can edit
SD
Sales - DACH
12 members
Can view
Anyone with link can view
Copy Link
Row-level security is enforced. Each viewer will only see data they are authorized to access.

Coming soon

The future of business intelligence is being built in Scandinavia.

Laohu is currently in development. We're building the platform that will make enterprise BI accessible to everyone - launching first in Europe, then globally.

Launching 2026