Data analytics and applied AI for quality-critical manufacturers
Higher Yield.
Fewer Rejects.
Less Firefighting.Higher Yield. Fewer Rejects. Less Firefighting.
The reasons parts get rejected are already in your production data. We help you find them, prove them and fix them, on the systems you already run.
45 minutes. Bring one quality problem.
Some of the organizations we have worked with
Experience across manufacturing and other industries.
Know Why Parts Fail, Not Just That They Failed.
We connect your production, inspection and material records so your team can see losses as they happen, find what is driving them and act before the next batch.
Advanced Analytics
See Losses as They Happen
Rejects, yield and output by part, machine and shift, while production runs. Not weeks later in a report.
Predictive AI
Catch Problems Earlier
Your production history holds early warning signs. We test them on your data, so your team gets time to act before more parts are affected.
Intelligent Automation
Turn Findings Into Action
Alerts, recommended next steps or approved automatic actions when agreed conditions are met. Every action safeguarded and recorded.
Your Engineers Decide
Your Engineers Stay in Control
Your engineers check every finding and approve every action. Nothing changes in your production without their sign-off.
Two Ways to Start. One Is Free.
Start free with your reject data, or test one improvement against a number that matters to you.
Free Reject Teardown
Send us 90 days of reject data: MES exports, Excel or raw files. Within 5 working days we show you where rejects concentrate by part, machine and shift, and three questions your current data cannot answer yet.
Free for selected component manufacturers · 5 working days
Quality Improvement Pilot
Pick one improvement: live quality tracking, a defect investigation, an early-warning test or an automated response. We prove it against an agreed KPI before you commit to more.
Fixed scope and fee · 6 to 10 weeks
Results You Can Check in Your Own Numbers
Judge us the way you judge any investment: by what changes in your cost, yield and response time.
Lower Scrap and Rework Costs
Less wasted material and fewer rework hours, measured against your plant's own baseline.
Higher First-Pass Yield
More good parts per shift, without adding machines, people or hours.
Faster Corrective Action
Problems caught earlier, so fewer bad parts leave the line before someone acts.
You Don't Need the Answers. You Need One Question.
Book a CallNo brief or data needed for a first conversation.
Built for the Parts You Make.
Every process fails differently. We work with the checks, machines and records you already have.
Automotive and Vehicle Components
Catch rising reject rates early and trace them across parts, machines, shifts and material batches.
Electronics and Hardware Components
Connect inspection and test failures to the lots, equipment and process conditions behind them.
Semiconductor Manufacturing
Follow wafer yield and scrap across foundries, lots and process steps to see where losses start.
Proof, Not Promises
Delivered projects from our manufacturing work. Details are anonymized; the numbers come from project records.
Automotive lighting components
Every Shift Sees Its Own Numbers
Plant-floor screens show accepted output, rejects and yield through the day, with years of history behind every figure.
Supervisors watch the current shift; engineers dig into defects by part, machine, material batch and process conditions.
Multi-yearproduction history behind every view
Semiconductor foundry operations
From Lot History to a Focused Investigation
Lot history, process measurements, supplier-quality information and claims reporting came together in one place.
Engineers could examine nonconformances with context and decide what to investigate first.
3source systems unified in the earlier reporting phase
Manufacturing reporting
From Static PDFs to Answers
Static ERP reports became interactive views connected to source data.
Teams filter, investigate and trace any figure back to its source during operational reviews.
5+source types unified in the reported scope
Tire manufacturing
Reliable Data for Manufacturing Operations
Batch and streaming data came together on one platform, with automated releases and monitored pipelines.
Deployments became repeatable, and monitoring keeps the data flowing.
2delivery modes supported: batch and streaming
Delivered work. The predictive and automation capabilities described on this page are not claimed as results of these projects.
View All Case Studies
They delivered a robust, scalable solution that truly acts on our data, giving us a competitive edge.
Jack
Founder, Hedgi (US)
The team at Datansh helped us connect disparate data points into a cohesive, actionable strategy. We've seen a direct impact on our ability to serve our international users better and faster.
Emma
Founder, Transfer Abroad Network (US)
Before Datansh, our data was a maze. Now, it's a clear roadmap. Datansh helped us see the true value in our information, driving tangible improvements across our operations.
Frode
Founder, BeWisor (Norway)
Your Systems Stay. We Connect.
ERP, MES, QMS, machine records: we connect to what you run, we do not replace it. Access is agreed with your IT and plant teams.
Your production data can stay in your approved environment, including EU hosting. Moving data to India is never a requirement.
What Would One Less Quality Problem Be Worth?
Less scrap. Higher first-pass yield. Earlier warnings. Faster fixes. Tell us which one matters most, and we will show you a practical way to start on the systems you already have.
Book a CallOr write to info@datansh.com
Meet us in Austria, November 15 to 20