One use case. A clear objective.
Agree who uses the result, which outcome matters and what information is available when the prediction is made.
PREDICTIVE QUALITY CONTROL SOFTWARE
Focus quality checks.
Use your production data.
Explainable predictions and implementation support for manufacturing teams with production and inspection history.
Your measurements and inspection records hold patterns your team can put to work. Neurytika helps classify structured production records into defined quality categories and exposes the evidence contributing to each result. We adapt the workflow to your products, data and review process.
Your data · Clear explanations · Local or cloud deployment
Which production records need a closer look?
01
Your records
Production attributes, measurements and inspection history
02
Neurytika prediction
A predicted quality category + supporting patterns
03
Your decision
Your quality experts choose the next check
A project workflow to build around your data and team.
A concrete business objectiveEvidence your team can inspectSoftware + implementation support
FOR QUALITY MANAGERS, PRODUCTION & PROCESS ENGINEERING
Choosing quality control software for manufacturing?
You have structured production measurements, batch attributes and recorded inspection outcomes. You want to classify a quality category and focus the next review with evidence your experts can inspect.
See how we scope a project ↓What your team gets
A model for a defined quality outcome, evaluated against held-out inspection records, plus contributing feature combinations and their observed support.
How it fits your systems
We scope the preparation of production records and the delivery of predictions into your quality review process, alongside your existing manufacturing tools.
A focused pilot on your data.
Agree the unit of prediction, inspection category and decision point. Review identified quality cases, additional checks suggested and missed cases against your inspection capacity.
A workflow your team can use.
Implement the agreed integration, install locally or in your preferred cloud, and train your team to review predictions and their evidence.
Bring your production history into the next inspection.
Start with a concrete quality question and records tied to an observed inspection outcome. We connect the model to the point where a prediction can help your team act.
Manufacturing
Target the next review
Use recorded production attributes and measurements to classify a quality outcome. Give inspectors a way to focus attention using the evidence behind each prediction.
Quality engineering
Inspect contributing combinations
Explore which combinations of recorded features are associated with a quality category. Use those patterns as a starting point for engineering investigation.
Operations teams
Keep the workflow close to production
Deploy locally with your production data or use your preferred cloud. We scope how predictions and explanations reach the people making inspection decisions.
BUILD A FOCUSED PILOT
Your records.
A useful first project.
Connect the predicted quality category to evidence your production and quality teams can examine together.
Discuss your projectWhat data do we start with?
Structured production or batch records, measurements and known inspection categories. We agree the unit of prediction, the quality label and which fields are available before the intended check. Neurytika works with the tabular records prepared for the project.
Define the outcome
For example: “Does this batch belong to the category requiring an additional inspection?” The model predicts the defined category and shows the patterns supporting it.
Evaluate the business workflow
Review detection of the selected quality category, the number of additional inspections suggested and the defects missed on held-out records. Compare the workflow with your existing inspection criteria and available review capacity.
WHAT WE DELIVER WITH YOU
Software, expertise
and a path to deployment.
We agree the business question, prepare the records, configure and evaluate the model, and scope integration with your existing tools. Your team learns how to inspect predictions and the patterns behind them.
Choose an installation on your own infrastructure or in your preferred cloud. The first conversation covers your objective, data availability, users and deployment needs; we then prepare a tailored proposal.
Explore local deployment ↗THE SCIENCE BEHIND THE SOFTWARE
Understand the evidence
behind a prediction.
Neurytika is powered by the Evidence Ratio Classifier (ERC). Inspect contributing feature combinations and their support in the training data. Read the peer-reviewed open-access article for the learning rule, evaluation protocols and published benchmarks.
Read the ERC research ↗SOFTWARE + IMPLEMENTATION PROPOSAL
What will your project include?
We prepare a proposal around your objective, data, integration and deployment needs. Your scope can cover: software licensing, data preparation, model configuration and evaluation, production-data integration, deployment, training and support.
Start with a focused pilot or discuss the implementation you already have in mind.
Discuss scope and pricingMake the first conversation useful.
Tell us:
- The business outcome and team you want to support
- The records and historical outcomes you already hold
- The systems to connect and your deployment preference
- Your intended timeline and project scope
We review the use case with you and define the next step for a demonstration, evaluation or tailored proposal.
Start with
your questions.
How does Neurytika fit our existing quality management system?
Neurytika provides classification and explanation for structured production records. We scope how its predictions and evidence fit your current inspection and quality workflows, including data preparation and integration with your existing tools.
How can production data help improve quality control?
Past production attributes, measurements and inspection outcomes can be used to learn patterns associated with quality categories. Neurytika applies the model to new structured records and makes contributing patterns visible for review.
What kind of data does Neurytika use?
Tabular records with structured fields and an outcome category. For quality projects, these can include measurements, batch attributes and historical inspection results, prepared around your prediction objective.
Can this help us reduce product defects?
It can support a workflow that identifies records for additional checks and gives engineers evidence to investigate. We define the quality objective and evaluate the predictions with your team as part of the project.
Can it run inside our factory IT environment?
Yes. We scope local deployment, data preparation and integration with your internal workflow. A cloud setup is also available.
LET’S MAKE YOUR PROJECT CONCRETE
Bring your business question.
We’ll build the next step together.
Tell us your objective, the records you already hold and who will use the results. Start with a demonstration and a focused project discussion.
Request a demoDescribe your project before sharing a dataset. FormSubmit forwards your message to our sales team.
MORE WAYS TO PUT YOUR DATA TO WORK
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