> AI agents: this is one page of oppr.ai as Markdown. The index of the site is https://www.oppr.ai/llms.txt; every page in one file is https://www.oppr.ai/llms-full.txt. # Put one improvement in place. Hold it. Build the next. URL: https://www.oppr.ai/ Operational improvement platform for continuous manufacturing **Oppr is for process plants with a problem that keeps coming back.** It puts shift notes and machine data on one timeline. AI analysis gives hypotheses that your people test on the floor. [Fix what keeps coming back](https://www.oppr.ai/contact/?from=home) [See how it works](https://www.oppr.ai/how-it-works/) Tell us one problem in your process. We reply with a few questions. Illustration: The shift at filter F-101, running live. After the batch change from the thick material the filter pressure rises; the 02:40 shift note sits at the same moment on one timeline. The analysis proposes a hypothesis to test: after the thick material, a longer flush and the pump at half. New shift notes keep arriving as the shift goes on. Hypothesis to test After the thick material, the filter stays clear with a longer flush and the pump at half. Proposed by the analysis. Your people decide. Working with - keeeper - Mutares - Omniplast - Attero - Holliday Pigments ## Most plants find the fix. Holding it is the hard part. Shifts on the same recipe get different results. Last year's gain has faded, and nobody can show why. 02:40 Right after the switch from the thick material, the filter after the vessel blocks again. The shift lead flushes it longer and runs the pump at half until it runs clear. The line runs. Next month The next time the thick material runs, the same filter blocks. A different shift is on. They start from zero. The shift found something that works. It never reached the morning meeting. [See the full cycle](https://www.oppr.ai/how-it-works/#steps) ## One cycle, four steps 01 Capture ### A note at the machine. The shift notes what they see and do: a photo and a few words, on the phone they already carry. 02 Connect ### The note lands next to the machine data. The stop is no longer just “Other”. 03 Execute ### Your people test it on the floor. Your people test each hypothesis on the floor. What holds goes into standard work. 04 Verify ### Every shift confirms it is done. Each shift confirms it with a photo, a reading or a sign-off. [Follow this filter through the four steps](https://www.oppr.ai/how-it-works/#steps) ## What Oppr changes in your operation A project must pay off, and the result must last. Each improvement is held in place, so the next one starts higher. - Less waste Up to 30% - More capacity Up to 15% - Better quality Up to 25% - Lower unit cost Up to 8% Achieved in improvement programmes our team has led in process plants. Your own numbers set the baseline. ## Responsible for the plant? We start where the return is easiest to show. ### Your own baseline We build the baseline from your own data. We agree the success criteria with you before the work starts. ### Small, and easy to stop We start with one problem on one line. If the agreed success criteria are not met, you have not committed to more. ### Little to set up A local extract from the historian or ERP is usually enough to start. [How we start](https://www.oppr.ai/how-it-works/#start) [Who Oppr is for, and who it is not for](https://www.oppr.ai/faq/#fit) [How much time it takes from your team](https://www.oppr.ai/faq/#faq-getting-started-1) ## Will your people use it? Oppr asks little of the shift, and only where the problem needs it. ### Your fix gets a name What the shift found reaches the morning meeting instead of Other. ### About twenty seconds A photo and a few words at the machine. ### The process, not the people We look at the process, never at who was on shift. Nobody is scored or ranked. Illustration: A note at the filter at 02:40: a photo of the filter and a voice note, Blocked again, after the switch from the thick material. Flushed longer, pump at half until it ran clear. Saved to the timeline. ## Improvement needs a system. Digitization needs a problem. Oppr brings both. We are an improvement and digitization partner. We work on the improvement with your people, and the software is our tool to make it hold. ### Digitization without a problem Management starts a large IT project. Two years later, the floor works around it. ### Improvement without a system Every improvement lives in its own Excel file. When the one person who combines them is off, nothing is combined. > “Twenty years of digitizing old factories taught me one thing: AI on bad data gives confident wrong answers. So we start with how the data is captured on the floor.” Derek Gobel, CTO Fifteen years running plants, twenty years digitizing them, thirty years running OpEx transformations. [About Oppr](https://www.oppr.ai/about/) ## A sentence about your problem is enough. It starts a conversation about your process, nothing more. [Fix what keeps coming back](https://www.oppr.ai/contact/?from=home) [Questions](https://www.oppr.ai/faq/)