Alleantia Insights
Manage your process data,
turn it into insights
Alleantia Insights processes machine data, puts it in context with data from your business systems and turns it into information you can act on. It is used by people on the factory floor and by industrial AI agents, which can also work autonomously.
- Monitor performanceKPIs and dashboards by machine, line and plant
- Detect anomaliesAdvanced analytics on process data, with alerts to whoever needs to act
- Support operationsProduction, maintenance and quality work on the same data
- Create and run analysesIn natural language, with the visual editor or in Python
Machine and contextual data
Any data source
Alleantia Insights
reusable insights
People and AI agents
alerts, reports, actions
Clear Insights. Better decisions.
Coder AgentDescribe the analysis you need
Calculate OEE by shift for Press 4 and send me a report every Monday
Line 2 · Press 4
- “OEE by shift” insight writtenCoder Agent
- Sandbox test passed13.5 s
- Awaiting approvalProduction manager
- Report scheduled every Monday at 7:00 AMRoutine
Create
Create analyses on your own
Three ways to create an insight, depending on who builds it. The result is always the same: a reusable, versioned analysis that is yours.
In natural language With Alleantia Agents
Describe the analysis you need and the Coder Agent writes it, tests it in a sandbox and saves it.
With the visual editor
Build the insight by connecting blocks, without writing code.
In Python
Developers work with the SDK and standard Python, with code versioned in Git.
Approval before production. Every insight goes through a review by your team, even when an agent writes it.
Why Alleantia Insights
Reusable insights,
fast results
Build an insight on one line and bring it to other machines and other plants. Each replica starts from an already validated analysis, so results come sooner.
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Start from machine and contextual data
Variables arrive already structured from Alleantia Core and are combined with data from business systems and other sources.
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Replicate insights across lines and plants
The same insight works on different machines and production sites, with versioning and auditing of every change.
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Run automatically
Insights run on schedule and results go straight to dashboards, notifications, external systems and AI agents.
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Compare departments and plants
KPIs calculated the same way everywhere make lines and sites comparable and show where to act.
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Scale without starting over
Each new department starts from existing insights and becomes operational with less development.
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View results on dashboards
Grafana, Power BI, Tableau, Apache Superset or the tool you already use.
Insight examples
From basic KPIs to predictive models
Some of the analyses you can create on your own with Alleantia Insights and distribute to dashboards, notifications and AI agents.
OEE · Press 479%Availability92%Performance88%Quality98%
Simplified OEE
Machine availability, performance and quality in a single indicator.
KPI
Good parts · Shift B98.4%1,240 of 1,260 parts
Quality rate
Good parts out of total production, by machine, shift or order.
Quality
Energy per part0.82 kWh−6% vs. monthly average
Specific energy consumption
Energy consumed per unit produced, to identify waste and drift.
Energy
Scrap risk · part 482112%Low
Predictive part quality
Machine learning models that estimate scrap risk from process parameters.
Machine learning
Order 2026/0384Estimated completion at 2:30 PM72%
Order progress
Completion percentage and estimated remaining time, also as a notification.
Notifications
Cycle time41.8sParts/hour86
Cycle time and throughput
Trends in cycle times and parts produced over the period.
Production
Parts produced · todayGood1,242Scrap18Scrap rate 1.4%
Parts and scrap
Production counts and the ratio of scrap to parts processed.
Production
Who it’s for
For people on the factory floor and for AI agents
People and AI agents work on the same insights, which become part of the Factory Knowledge: a single, always up-to-date base for every department.
Dashboard · Line 2Press 484.6%CNC lathe 291.2%Welder 1StoppedTeams alertWelder 1 stopped for 12 minutes
People
Operators and production, maintenance and quality managers get the data they need when they need it.
- Interactive dashboards updated with machine data.
- Alerts via Telegram, Microsoft Teams and email.
- Manual data entry directly from the dashboard.
Alleantia AgentsLocal LLMWhy did Press 4’s OEE drop yesterday?Insight used: OEE by shiftIn shift B, availability dropped to 78%: two unplanned stops, 47 minutes in total.
AI agents
Insights become tools available to the agents, which use them to answer questions and run analyses on factory data.
- Any insight can be made available to the agents.
- The Coder Agent writes new insights on request.
- Executions mediated by the platform and logged in the Execution Monitor.
Installed on your premisesIsolated environmentsProtected sandboxAudit and versioning
Installed on your premises, open by choice.
Data, code and results stay on your servers.
Everything on your premises
Databases, insights and executions reside on your servers, including in isolated environments.
Protected sandbox
Every communication between insights and external services is mediated and tracked by the platform.
Encrypted secrets
API keys and passwords encrypted at rest and in transit, used by reference.
Versioning and audit
Insight code synced to Git repositories, with a full change history.
Open standards
Python and polars for analytics, MQTT and REST for incoming data.
BI of your choice
Grafana recommended, with the freedom to use Power BI, Tableau or Apache Superset.
Let’s talk
What’s the first analysis
you’d run on your line?
Book a demo with an Alleantia expert: together we’ll see which analyses you can create on your machine data and how to replicate them across lines and plants.
A few hours
Installation in your infrastructure, on a couple of virtual machines.
First days
Machines and business systems connected, first KPIs and alerts active.
About two weeks
A first department with dashboards, reports and AI agents at work.
Frequently asked questions
Alleantia Insights at a glance
What is Alleantia Insights?
It is the analytics module of Alleantia Industrial Intelligence. It combines the machine data collected by Alleantia Core with production context and turns it into reusable KPIs, dashboards and alerts that you create on your own and that are used by both people and AI agents.
Where are Alleantia Insights and the data installed?
In your infrastructure, together with Alleantia Core and Alleantia Agents. Databases, insight code and results stay on your servers. The platform also supports isolated (air-gapped) environments.
How does data reach Alleantia Insights?
The Ingestor reads Alleantia Core telemetry through an MQTT broker and continuously populates the analytics database. It can also query REST APIs to add contextual data from other systems.
Do I need to know how to code to create an insight?
No. With the Copilot you describe the insight you need in natural language and the Alleantia Coder Agent writes it directly in the platform. Alternatively, the prompt builder prepares a prompt to use with your AI assistant.
Can I reuse an insight across multiple machines or plants?
Yes. Insights accept parameters, so the same code can be scheduled multiple times on different machines. Versioning on Git repositories lets you distribute them across multiple instances of the platform.
Can I use my own Business Intelligence tool?
Yes. We recommend Grafana for dashboards, but it is not part of the platform and can be replaced with Power BI, Tableau, Apache Superset or other similar tools.
Can AI agents use the insights?
Yes. Any insight can be made available to Alleantia Agents, which uses it to answer questions in natural language. With an LLM installed in your infrastructure, no data leaves your company.
Which channels do notifications arrive on?
The Notifier sends messages to Telegram bots, Microsoft Teams channels and email addresses.