Instant diagnosis, 24/7
The user asks their question by text or voice note. Kaili analyzes it, asks for any useful clarification, and searches the knowledge base specific to the machine in question.
Kaili helps your operators and technicians identify a machine fault and resolve it, any time of day, in their own language, regardless of the equipment manufacturer.
At the operator's station, just as much as at the technician's desk.
And yet, a large share of interventions involve faults that the operator or technician could resolve faster with the right information at the right time. Scattered documentation, multiple languages, expertise concentrated in a few people rarely available at night or on weekends: every minute lost has a cost.
Breakdowns don't wait until Monday morning.
A mixed equipment fleet that no one fully masters.
Manuals, diagrams, intervention histories, emails, team notes: knowledge is everywhere and nowhere.
The user asks their question by text or voice note. Kaili analyzes it, asks for any useful clarification, and searches the knowledge base specific to the machine in question.
Technicians and operators without a technical background alike. Kaili simplifies complexity and guides users step by step through the resolution, with checkpoints along the way.
Everyone communicates in their native language, whatever the language of the manuals and source documents — a decisive advantage for multi-national sites.
A learning companion for newcomers, a skill-building tool for operators already in post. Expertise grows with every intervention.
From their phone, tablet, or computer. By text or voice note, in their own language. No fixed format, no terminology to learn.
The AI interprets the request, asks useful clarifying questions, and queries the knowledge base for the relevant machine.
Explanations tailored to the user's level, a resolution procedure, and a report archived automatically.
Simulation of a typical conversation
The vast majority of situations are resolved directly with Kaili. For the rest — a rare fault, a specific setup, a breakdown no document describes — the user switches to an industrial expert from within the same conversation. Without starting over.
Instant diagnosis based on your electrical diagrams, PLC programs, intervention histories, and manufacturer documentation — in the operator's own language.
If the exchange with Kaili wasn't enough, an industrial expert takes over. They receive the full context already gathered: the fault as described, the leads already ruled out, the measurements taken. The on-site technician doesn't have to explain anything twice.
When the problem requires it, an on-site intervention is triggered. It arrives prepared: the expert already knows the machine, the fault, and everything that's been tried.
Industrial automation engineers and special-purpose machinery experts, with years of hands-on field experience.
On request, we also reach out to your machine manufacturers to invite them to join the Kaili network, so they can serve you directly on their own equipment.
Every intervention produces a detailed report that feeds back into your knowledge base. The case an expert handles today becomes the answer Kaili gives on its own next time.
The range of issues the assistant can resolve grows with every fault handled.
A monthly quota of expert assistance hours is included in your subscription. On-site interventions are billed per call-out.
Kaili draws on the full set of documents and data provided by the client company, including the informal exchanges that never make it into official documentation.
The knowledge that's written down nowhere is often what fixes the fault.
Tank 2 motor power supply
4.3 Photoelectric sensor adjustment
Align the sensor's optical axis with the reflector. The nominal distance is 300 mm ±10%.
FIG. 4.3 — Alignment
Beyond individual resolutions, Kaili continuously analyzes every ticket and intervention to identify recurring patterns and feed continuous improvement initiatives.
Kaili was born from the meeting of two skill sets rarely combined: hands-on industrial automation and applied artificial intelligence. Each brings the expertise the other most often lacks.
An engineering graduate of Polytech Sorbonne, Jonathan has led ASCO Systems since 2009, a service company specializing in industrial automation and software development. He has run dozens of projects on complex production lines, from engineering design through on-site commissioning.
A graduate of École Polytechnique, with 11 years of experience in artificial intelligence, from engineer to Chief Technology Officer. Founder of JB Lab, a firm specializing in designing and deploying AI solutions for businesses.
Let's take 20 minutes to assess your case and show you a demo tailored to your fleet.
Our team will contact you within 24 business hours to schedule a demo.