BI, AI and machine learning for company data
From data to decisions.On a single platform.
Muvia brings your ERP, CRM, databases and files into one engine, and answers where you already work: in a dashboard, in Monday's report or in the AI assistant you use every day. Every answer shows the query that produced it.
Why did the distributor margin drop in September?
- muvia · query_sqlinvoices, discounts and costs — ERP
- muvia · query_sqlclosed deals — CRM
The distributor margin went from 31% to 24%. Two causes weigh on it: the average discount rose from 8% to 13% on three customers, closed at the end of the quarter, and shipping costs are up 9% since August.
Distributor margin, by weekwk 34–39
One product instead of five.
You usually need five products: one to bring the data in, a data warehouse, one for transformations, one for dashboards, one for AI. In Muvia it is one copy of the data, one model and the same permissions, from the source to the assistant's answer.
Model
Connect
One analytics engine per company, in the cloud on AWS Milan
From source to decision, in four steps.
Connect. No project, and no change to your systems.
With Live Ingest you upload a file or connect a database or an application: Muvia creates its own tables and copies only the new rows, at intervals. Your ERP stays as it is: Muvia only reads it.
- Incremental copy over an encrypted connection
- No schema to design, no migration
- A new column in the database arrives on its own
- ERP · SQL Serverincremental · 07:00
- CRM · Salesforcehourly · 06:30
- Budget 2026 · Exceluploaded yesterday
- Marketing · HubSpothourly · 06:45
Model. Give the numbers a contract.
Every number lives in a dataset with stable fields: dashboards and reports bind to the fields, so a column renamed at the source breaks nothing. The Project Map shows where it comes from.
- Datasets with stable fields
- Certified Datasets, preferred by Athena
- Lineage from source to report
Margin by customer
Certified
customer, revenue, margin %
Orders by week
Draft
week, orders, channel
Lineage
- erp.orders
- Margin by customer
- Management dashboard
Analyse. In SQL, in Python or by asking.
The SQL editor saves queries, notebooks print to PDF, and Python functions run on a schedule on governed data. Whoever doesn't write SQL asks Athena, and sees the query it used.
- SQL editor and notebooks
- Python with pandas, scipy, scikit-learn
- ONNX and joblib models, run on a schedule
SELECT channel,
sum(margin) / sum(revenue) AS margin_pct
FROM margin_by_customer
WHERE month = '2026-09'
GROUP BY channeldirectonlinedistributors
Act. The number reaches whoever has to move.
On screen, on the office wall, in a PDF on Monday morning, in an alarm when something goes out of limits. Flows do the rest: they calculate, write, notify.
- Dashboards, wall displays too
- Scheduled PDF reports
- Alarms with a register and ownership
- API and signed webhooks
- Item C-11407:42Stock below the minimum · owned by purchasing
- Distribution-channel customer06:00No orders for 45 days · to sales
Scheduled reports
The week on 1 pageMonday 07:00 · PDF to 6
A Monday morning, with Muvia.
Nobody opened an Excel file. The numbers reached whoever needed to see them, and the one new question got its answer in a minute.
- 07:00
The report arrives on its own
The week on one page, as a PDF, in the inbox of management and department heads.
- 07:42
An alarm, already owned
A key item drops below minimum stock. Purchasing takes it from the register, and who and when stays on record.
- 08:15
The question goes to the assistant
The controller asks Copilot how much the end-of-quarter discounts cost. The answer comes with the query and the sources.
- 09:00
A meeting about facts
Everyone starts from the same numbers. You discuss what to do, not which number is right.
What changes, for whom.
One version of the numbers.
Margins, costs, budget and orders live in the same place and update themselves. Meetings start from the facts.
The platform- The week's report as a PDF, Monday at seven
- An alarm when a customer stops ordering
- New questions to the assistant, with the query that proves them
Who buys, who stops, what pays.
The CRM next to the ERP: deals read together with invoices, discounts and margins, customer by customer.
Use cases for sales- Salesforce, HubSpot and Dynamics 365 next to the ERP
- An alarm when a customer stops ordering
- Margin by customer, by agent and by channel
Train anywhere. Run in Muvia.
You train the model with your own tools. In Muvia it runs on a schedule on governed data, and the results reach the people who decide.
Data science in Muvia- Python with pandas, scipy and scikit-learn
- ONNX and joblib models run on a schedule
- Results in dashboards, alarms and reports
Nothing to install on your systems.
Muvia reads the sources and keeps a copy: your ERP stays as it is, and the analyses don't run on its database.
The platform's technology- Incremental copies over an encrypted connection
- Read-only REST API and signed webhooks
- AI assistants connected via MCP, with the user's permissions
Try it before you believe it.
Every feature described on these pages exists in the product today. The fastest way to check is to use it.
Bring us a question
A real question from your company that you can't answer today. In the demo we walk the path from source to answer, with your systems.
Book a demoTrial runs that touch nothing
Every flow is tried before it is switched on: the trial reads the real data and writes nothing.
How flows work
- source types, from Excel to Salesforce
- 14
- database per company, separate from the others
- 1
- schemas to design for a new source
- 0
Your data stays yours. Even when an AI queries it.
Security and compliance- Hosted in Milan
- The platform runs in the AWS cloud region of Milan.
- Separate per company
- Each company has its own database and its own credentials. Users' queries are read-only.
- The assistant sees what you see
- A connected assistant works with your permissions and only on the projects you can access. The administrator can revoke it.
- Everything is on record
- Two-step sign-in, passkeys, custom roles and an activity log sealed every night.
Muvia Industrial
Have plants and machines to connect?
Industrial IoT is a separate product: an edge node reads the PLCs on the shop floor and brings the machines' data to the cloud.
Frequently asked questions
A BI, AI and machine-learning platform that brings the company's data into one engine: ERP, CRM, databases and files. From there come dashboards, reports, alarms, flows and the answers of AI assistants.
No. You connect the source and Muvia creates its own tables from the source's columns, then copies only the new or changed rows. No schema to design, no migration, no change to your systems.
Yes. Muvia connects to AI assistants through the MCP protocol: the assistant sees only the projects and data you can access, and every answer carries the query that produced it. The administrator decides who can connect it and can revoke it.
In the AWS cloud region of Milan, in a database dedicated to your company. Questions put to the AI assistant go through third-party language-model providers.
Bring us a question you can't answer today.
We start from a real question your business has and walk the path from source to dashboard with your systems, not a demo dataset.