We build the intelligence.
We interpret images, signals and documents and turn them into an answer the team can use.
Industrial AI for manufacturing
Industrial AI, all the way to the machine.
We build software and AI for manufacturing and coordinate its integration with cameras, PLCs, robots and plant systems. ReadyMark is our first product: a clear way to bring AI from the image into the operation.
Your control systems stay in charge. Avira adds context so your team can act with clarity.
- Vision
- Software
- Integration
- Production
ReadyMarkVisual inspection for manufacturing
Make what needs attention visible before the product is released.
ReadyMark turns images from your process into a clear signal for the operation: what needs attention, where it appears and what to do next.
Example annotationCheck alignment
The exact location stays attached to the result.
Another application example
The same signal, on a control panel.
A localized annotation turns a visual observation into a clear next step.Example annotationCheck assembly
The location stays attached to the result.
The finding stays on the evidence, so the next step does not depend on interpreting an isolated image.
Contact usSoftware and integration
Software to decide. Automation to execute.
Avira designs the software and AI layer. When the project needs to reach the machine, we coordinate the integration with automation specialists and the plant team.
We connect it to the process.
We connect the result to cameras, PLCs, robots and existing systems when the process needs it.
First we define the decision; then we connect the result to vision, a PLC or a robot.
Each connection is designed around the machine, available access and expected outcome.
Other ways to use it
We can also work with what is already happening in your plant.
We connect signals, documents and notes so you can find an explanation or next step without chasing information.
See what happened
An alarm marks a moment; the explanation is usually spread across several sources.
What comes in
Information spread around
Alarms, signals and shift notes live in different places.
What your team gets
A timeline you can follow
We connect the facts and make each source clear. Related events, open questions and the source in view.
- Visible reference
- Alarm historian · original source
Find the right procedure
When several versions exist and you need to know what applies now.
What comes in
Information that is hard to compare
Manuals and procedures in different versions.
What your team gets
An answer with its source
We find the applicable step and show the document behind it. Short answer, source in view and clear limits.
- Source and section
- Current procedure
Set the next shift up
Important context should not get lost among notes, events and open work.
What comes in
Information spread around
Events, notes and open work without one shared view.
What your team gets
A summary people can use
We organize changes and open work so the next shift knows where to start. Changes, owners and open work in one place.
- Shift record
- Operating notes and events
From use case to cell, with every step connected.
We start with the operating decision and move forward only when evidence, owners and boundaries are clear.
Contact usDefine the outcome
Agree on the decision, responsible person, included asset and explicit exclusions.
Connect the evidence
Prepare images, signals, documents or historian data with the least access required.
Test on the plant floor
Test normal cases, failures and uncertainty with the people who know the process.
Connect the result
Take the solution into the cell with defined permissions, traceability and a safe fallback.
AI helps. Your team decides when to release the product.
Each result keeps its source in view and makes clear what needs attention before the product is released.
What to decide before connecting.
View the blogIndustrial AI visual inspection: from image to traceable report
How to design AI visual inspection that preserves evidence, localizes findings and supports a clear decision about the product.
Read articleAI and PLCs: seven questions to answer before connecting a solution
Seven questions to define the objective, data, access limits and validation before connecting AI to a PLC.
Read articleIndustrial AI PoC: how to define scope and data
How to turn an industrial AI idea into a proof of concept with clear scope, data and acceptance criteria.
Read articleThe important questions, plainly answered.
What does Avira deliver?
We design the software and AI layer and, when the case calls for it, coordinate its integration with vision, PLCs, robots and existing systems. Scope can range from an evaluation with exported information to a connected solution inside a cell.
What is ReadyMark?
It is our first visual-inspection solution for manufacturing. It turns an image into a localized finding and a clear result, so the team knows what to address before releasing the product.
Does AI replace the PLC, SCADA or quality team?
No. Control systems keep their role and authorized people keep the decision. AI observes, organizes evidence and assists within agreed boundaries.
Do you need real-time access?
Not necessarily. Many evaluations begin with images, historian exports, documents or operating records. Architecture follows the decision we want to improve, not the other way around.
Let’s talk about your plant
Let’s talk about the process you want to improve.
Tell us about the machine, cell or decision that still depends on too many manual steps. We’ll reply with the most useful next step; you do not need to prepare a technical brief.
hola@aviraagent.ai