NEEST gives your factory equipment a voice. Your operators can chat directly with machines to instantly diagnose faults, predict failures, and eliminate hours of downtime.
When a machine goes down, you don't have time to stare at complex graphs or hunt through a 500-page manual for fault codes. You are losing €500 every minute. You need to know exactly what broke, right now.
Our AI-powered platform transforms how you monitor, predict, and optimize your manufacturing operations
Machine stopped? Ask it why. Get the exact part name, error code, and required fix delivered in plain English.
AI algorithms analyze sensor data to predict equipment failures days or weeks in advance, eliminating unexpected downtime and costly emergency repairs.
No massive IT overhaul. Connect seamlessly existing CNC controller, and it becomes self-aware in under 2 hours.
Create virtual replicas of your machines that mirror real-time performance. Simulate scenarios, test optimizations, and make data-driven decisions instantly.
Receive instant notifications when anomalies are detected. Our AI learns your operations and only alerts you when intervention is truly needed.
Comprehensive dashboards showing OEE, cycle times, quality metrics, and production trends. Turn data into actionable insights.
We built Neest so you don't have to fight your IT department. We use zero-trust edge architecture and localized AI to ensure your proprietary manufacturing data never touches public models.
Your machine error logs, production speeds, and shift notes never go to OpenAI or public clouds. Our language models are hosted on secure, self-hosted servers. Your trade secrets remain completely localized and private.
We don't open inbound firewall ports to your factory floor. Our edge devices push telemetry outbound only, utilizing industry-standard MQTT over TLS 1.3 encryption. Your machines are physically isolated and cannot be compromised from the outside.
From installation to optimization in less than a week
We plug our edge node into your machine's PLC/Controller. Installation takes hours, not weeks.
Machine learning algorithms analyze your unique production patterns, identifying normal behavior and potential optimization opportunities.
Receive actionable insights and predictions. Your operators start texting the machine via our secure app.
Generic IoT platforms don't understand the difference between tool chatter and a normal roughing pass. We do. Neest is trained on the exact failure modes of high-precision CNC machining.
Spindle crashes cost upwards of $10,000. Neest detects micro-vibrations and heat anomalies, texting your operator to pause the job hours before the bearing seizes.
If coolant flow drops or enclosure temperatures spike, the machine instantly messages your maintenance team to prevent thermal expansion from ruining your tolerances.
We pull data straight from Haas, Fanuc, and Siemens controllers. When an alarm code triggers, we translate it into plain English and text you the exact fix.
In blow molding, a 5-degree temperature shift means thousands of defective parts. Neest monitors your extruders, chillers, and hydraulics to catch process drift before it hits your scrap rate.
Resin too hot? Parison drooping? The machine will text your operator instantly if barrel heater bands start failing, saving you from a massive material purge.
Mold cooling is where you make money. If chiller flow drops and your cycle times start creeping up, Neest alerts maintenance to check the lines before production drops.
A slight drop in clamp pressure can cause blown-out seams. We track the hydraulic lines and translate pressure faults into a simple text: "Clamp pressure low, check pump #2."
Most industrial IoT is built by software developers who have never touched a greasy machine, traced a faulty PLC wire, or stood on a loud factory floor at 2:00 AM trying to save a production run.
We are different. Our team is anchored by over 40 years of hard-won experience in Machine Automation and industrial IoT, backed by mechanical engineers and elite AI/ML experts. We know exactly how heavy machinery fails in the real world, and we know exactly how to make modern AI understand it.
We don't build dashboards. We build machines that talk.
We are taking 3 factories this month for a zero-risk, 14-day pilot. If we don't cut your diagnostic downtime in half, we pack up our hardware and leave.