Manufacturing DX, starting from the floor.
From demand forecasting and predictive maintenance to core system modernization. With AI and industry expertise, we partner with you on manufacturing floor challenges.
Manufacturing DX means using AI to connect the information scattered between the shop floor and management, from demand forecasting and predictive maintenance to quality data and core systems, so decisions can be made faster. We start with a small proof of concept on a single line.
Find by challengeFind by challenge
When demand is hard to read, you end up cycling between excess inventory and stockouts. We use your data to forecast demand and support better planning.
Equipment trouble halts production. We propose an approach to predictive maintenance that puts your data to work and reduces unplanned stoppages.
Core systems that have run for over a decade become impossible for anyone to fully understand. We use AI to visualize them and bring them to a state where migration can happen safely.
Inspection and quality records sit unused in paper or Excel files. We digitize forms and records with OCR, then use predictive AI to surface quality variation.
Solutions that fit this industrySolutions that fit
Forecasts demand and equipment condition while visualizing the reasoning behind each prediction (SHAP/LIME). ROI modeling supports your investment decisions.
Uses AI to visualize core systems built up through years of tribal knowledge, enabling a safe migration.
Rapidly automates business applications and forms.
Reads and digitizes information from inspection records, forms, and on-site photos.
We also propose approaches tailored to your situation for factory IoT data collection and visualization, and image-based inspection support, among other needs.
Judge us by results in your industryProof in your industry
Moving quoting and cost calculation off Excel. Automated quoting and Salesforce integration bring visibility to sales
Unifying a sales management process fragmented across order, receiving, and billing with real-time inventory allocation. Now advancing to a development project after prototype validation
An AI approach tailored to your floor
- In demand forecasting, we have built predictive AI platforms including a multi-tenant SKU-level demand forecasting model for promotional materials, and CVR-based bid optimization for ad delivery using machine learning (both company names withheld). We apply this same platform to manufacturing demand and quality forecasting.
- After deployment, we maintain predictive AI accuracy through MLOps (accuracy monitoring, retraining, drift detection).
- We support your investment decisions with ROI modeling (payback period calculated from your inputs).
- You can start with a small-scale trial on a single line and a single theme, testing effectiveness even with a small amount of data.
Frequently Asked QuestionsFrequently asked
Do you have a track record in demand forecasting, predictive maintenance, or factory IoT?
We have an operational track record in quoting and cost calculation DX (moving off Excel, automated quoting, Salesforce integration) with Sunsho Pharmaceutical Co., Ltd., a +30% close rate, disclosure permitted. In demand forecasting, we have built predictive AI platforms including SKU-level demand forecasting for promotional materials and CVR-based bid optimization for ad delivery (both company names withheld). For factory predictive maintenance and visual inspection, we start by validating this same predictive AI platform on one theme at a small scale, confirm the results, and then move step by step into full development. We welcome inquiries even at an early stage with limited data.
What timeline and scale can we start with?
You can start small with a free consultation by focusing on a single line and a single theme. We test on a small scale, adapting to your existing equipment and processes without stopping production, then expand step by step to other lines and factories once we see results in yield or quality.
We are worried about AI accuracy with so little floor data.
We validate through a PoC even with small amounts of data, and after deployment we maintain accuracy with MLOps (accuracy monitoring, retraining, drift detection). ROI modeling (payback period calculated from your inputs) supports your investment decisions.
Will our drawings, inspection data, or other confidential information be used to train the AI?
No. Drawings, inspection records, and equipment data are handled only within the scope defined by contract and are never used to train the AI. We work under the premise that your factory know-how, such as yield rates and inspection standards, never leaves your organization, and we manage access under an NDA with a limited set of assigned personnel.
Ready to start with one line and one forecast?
Even a small amount of data is enough to validate results on a small scale. We will show you the payback period through ROI modeling.