--- title: "Algorive - Enterprise AI Solutions" description: "Every business is a process. Algorive makes it precise: machine execution, calibrated by real-world field expertise." canonical_url: "https://algorive.com/" last_updated: "2026-10-09" --- # We build the software, data systems and AI that run day-to-day enterprise operations. Every business is a process. Algorive makes it precise: machine execution, calibrated by real-world field expertise. We turn physical operations into closed-loop systems. We capture the metrics that matter, connect field telemetry to the business context, and deploy AI that doesn't just suggest actions, it verifies measurable gains. Enterprise AI must be fundamentally safe for the organizations that deploy it. Our architecture protects the company's intellectual property, operates strictly within the data boundaries the company sets, and enforces role-based access. [Discuss your operation](https://algorive.com/contact) ## What we build - Layer 2: Measurement design and devices - Layer 3: Network, edge and cloud delivery - Layer 4: Data platform and context mapping - Layer 5: Custom software and AI - Layer 6: Automated action and closed-loop improvement ## One operation, from the floor up. The facility and its process are yours. Every layer drawn above it is what Algorive builds, and the loop only counts when the action comes back down and the next reading confirms it. A bottling line at the bottom, with the layers Algorive builds stacked above it: devices, delivery, data in context, software and AI, and the action that returns to the line. ## Output is set by one constraint. You already know your operation better than anyone. What is usually missing is a system that sees the constraint in time and does something about it. ### Money leaks where the process waits. A machine idles. A stop gets coded as “other”. A sensor goes quiet and the hour looks calm. Each one costs output, and none of them shows up on time in a spreadsheet. ### One step sets the pace. Output is limited by the slowest step in the process, not by the average. Speeding up any other step just fills a queue. The work is finding that step and moving it. ### Seeing it is not fixing it. A dashboard can show the problem every day without changing anything. The system has to carry a decision back into the process and then measure whether it worked. ## One offering for each layer above your facility. Each one can be engaged on its own. They are designed to connect, so whichever layer we start with becomes part of one loop. ### Measurement design and devices Layer 2 · Devices We decide what to measure, which devices to use, where they go and how their health is watched, so a dead sensor is never read as a quiet hour. ### Network, edge and cloud delivery Layer 3 · Delivery A delivery path that is reliable, redundant and fast: readings up to the record, commands back down, and an honest report of anything lost. ### Data platform and context mapping Layer 4 · Data in context Readings joined to the order, shift, asset, person and zone they belong to, and stored efficiently in a record you own. ### Custom software and AI Layer 5 · Software and AI Software and models that detect a problem, find its cause and propose the fix, including custom CMS, CRM and BMS built around your operation. ### Automated action and closed-loop improvement Layer 6 · Action Accepted changes reach the process as a work order, setpoint, dispatch or lock, and the next reading confirms whether they worked. Algorive does the measurement side (what to measure, which devices, where they go and how their health is watched), and field installation is done by a partner. ## Start from the number that earns the money. 1. **Start from the output.** Which number earns the money, and where does the work wait? Units per hour, cases shipped, energy per unit, stoppages avoided. 2. **Find the weak layer.** Is the problem not measured, not delivered, missing its context, never analyzed, or never acted on? Usually the gap is lower than people expect. 3. **Build that part first.** Only what the weak layer needs, connected to the systems you already run. Then the next one, if the numbers say so. 4. **Check it with the next reading.** Before anything changes, we agree which number should move and in which direction. Then we read it. ## Tell us what your operation produces, and where it waits. Every layer on this page is one we have built and run ourselves, from carrier networks to AI in production. [Our background](https://algorive.com/contact). ## Sitemap - [Sitemap](https://algorive.com/sitemap.md): every page on this site, with its Markdown version.