Industrial AI

    Connect your machines. See what they're telling you.

    We connect to your PLCs, cameras, and sensors — then make production data queryable, visible, and actionable. On your factory floor, not in the cloud. No data team required.

    >100Projects delivered
    67%Repeat clients
    2018Founded
    ZürichSwitzerland
    On-premiseYour data never leaves the building
    Discuss your production challenge
    • Syntegon
    • GHM
    • REA
    • VY
    • ETH Zürich
    • EPFL

    Sound familiar?

    Your shift just ended. What did you actually produce?

    Alarm logs nobody reads. Batch records on paper. Operators who can hear a bearing going bad — but can't explain it to a maintenance ticket. When something breaks, you reconstruct the story from HMI screenshots and phone calls.

    Why Octanis

    Your PLCs already log it. We make it queryable.

    Cameras that see what operators miss. Sensors that catch drift before it becomes scrap. PLC data that's finally accessible — not locked in the HMI panel or buried in a SIMATIC archive.

    Raw feedAI Vision

    AI Vision models can process video feeds in real time to detect defects and product properties using cameras only.

    Process

    How we work

    01

    Audit

    We visit your factory. We map what your PLCs, sensors, and cameras already log — and what they don't.

    02

    Install

    We connect to your existing infrastructure — S7, Modbus, OPC-UA, MQTT. New sensors only where the data doesn't exist yet. No rip-and-replace.

    03

    Train AI

    Your production data trains the models. Your rejects. Your alarms. Your process windows. Not a generic dataset. Not someone else's factory.

    04

    Deploy

    Edge deployment — everything runs on-site. Your data never leaves the building. We stay on for support, tuning, and expansion.

    Projects

    What we build

    Syntegon / Makat Candy Technology
    Consulting

    Syntegon / Makat Candy Technology

    AI workshop for confectionery production managers. Computer vision for quality inspection on mogul and starchless lines.

    Inline Quality Inspection
    Quality Inspection

    Inline Quality Inspection

    Detecting surface defects on a production line using computer vision. Same approach, different material.

    Environmental Monitoring
    Monitoring

    Environmental Monitoring

    Condition monitoring for controlled-environment growing. Temperature, humidity, CO₂ — from the PLC to a dashboard.

    Factory Agentautonomous-loop
    Working

    Built on your production data. Not someone else's.

    Generic AI models are trained on millions of internet photos. They can tell a cat from a dog. They can't tell a tailing defect from a starch residue mark on your gummy.

    We start with your reject trays. Your operators sort the rejects they already catch — tailing, unfilled cavities, surface defects — and the system learns their standards. Not a textbook. Not a lab. Your line, your product, your quality spec.

    The goal: when a defect pattern emerges — unfilled cavities, surface marks, shape deviations — the system flags it to the operator before the whole shift ends up guessing.

    Integration

    We speak your machines' language.

    No rip-and-replace. We connect to what you already run.

    Connect any industrial protocol to a single gateway. Your data stays on-premise, with optional secure cloud forwarding when you need it.

    Common questions

    Let's talk

    You know the problem. We know the toolbox.

    Every engagement starts with a factory visit. No slide deck. We come, we look at your machines, we tell you what's possible — and what's not.

    Sam Sulaimanov

    Sam Sulaimanov

    MSc ETH · Electrical Engineering

    Discuss your production challenge