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Shalaka

Micro-apps and AI agents for electronics and manufacturing

Electronics companies and factories run on dozens of small tasks that nobody built proper software for: a test station, a downtime sheet, a returns register, a morning report. We build micro-apps and AI agents for exactly these jobs, each one small, connected to your machines and devices, and quick to change when the task changes.

What we can take on

  • Micro-apps for the production line: test stations, device provisioning, label printing, returns.
  • Shop-floor apps: downtime logging, quality checks with photos, shift handover, line status screens.
  • Field service apps that talk to your devices over Bluetooth or Wi-Fi.
  • AI agents that read your test logs, datasheets and machine data, and prepare work for a person to approve.
  • Bots on WhatsApp and your website that answer from your own documents and data.

For electronics product companies

Production test station. Guides the operator through each test on the jig, records pass or fail against the serial number, and prints the label. Failed units carry their test log with them to rework.

Device provisioning. Flashes the firmware, writes the serial number and credentials, and registers each unit in your cloud in one step at the end of the line.

Field service app. A technician connects to a device over Bluetooth, reads its logs and settings, updates the firmware and sends a service report from the site.

Returns tracker. Logs each returned unit by serial number, symptom and cause, and links it to the production batch, so repeat faults show up early.

Part availability watch. Checks the parts on your BoM against distributor stock and lifecycle notices, and warns you before a part goes end-of-life or short.

Firmware release board. Shows which firmware version each device runs, and lets you roll out an update to a few units first, then the rest.

For factories and plants

Downtime logger. When a connected machine stops, the operator picks the reason on a tablet next to it. Downtime by reason, machine and shift is ready the same day.

Shift handover. Machine events from the night and the operators' notes become one short summary for the morning meeting.

Quality check with photos. An inspection checklist on a phone or tablet, with photos and reject reasons, and a trend of defects by line and product.

Maintenance tickets from alarms. A machine alarm becomes a ticket with the machine's recent readings attached, assigned to the right technician.

Energy on WhatsApp. Yesterday's energy use per line arrives at the start of the shift, and the plant head can ask for any line or day in plain language.

Calibration tracker. Due dates and certificates for every instrument and gauge, with reminders before an audit finds one out of date.

Line status screen. A screen on the shop floor showing each machine's state, the shift target and output so far.

AI agents with a person in charge

An agent reads, searches and drafts. A person decides. Each agent shows what it looked at, what it proposed and who approved it, so mistakes are visible and you can widen what it may do once it has earned trust.

Datasheet and manual assistant. Engineers and support staff ask questions in plain language and get answers from your datasheets, manuals and past test reports, with the page it came from.

Test log analyst. Reads production test logs, groups failures by test step, station and batch, and drafts a summary for the quality team.

BoM cost and alternatives. Proposes alternative parts with prices and availability for an engineer to check, when a part is expensive or hard to get.

Customer support assistant. Answers your product customers from your manuals and setup guides, and hands over to a person with the details already collected.

Why it fits with the rest of what we do

A micro-app on a factory floor is only as good as the data behind it. Because we also design the boards, the firmware, the test jigs and the cloud, the app can talk directly to the machine, the device or the jig, and nobody has to type in what a sensor already knows.

How a micro-app gets built

We start by watching the task as it is done today, on paper, in a spreadsheet or on WhatsApp. Then we build the smallest version that removes the repetitive part, put it in front of the people who do the work, and change it based on what they say. Most micro-apps run on the phones, tablets and PCs you already have.

For your engineers

Parts, protocols and tools we use for this work. The full list is on the technologies page.

  • Production test jigs
  • Barcode and label printers
  • BLE and Wi-Fi device links
  • MQTT and machine data
  • Modbus
  • Tablets and shop-floor screens
  • React
  • Flutter
  • Python
  • Claude and Gemini APIs
  • WhatsApp
  • Odoo and other ERP

Questions about this

What is a micro-app?

A small app built for one task and one group of users, such as a test station or a downtime logger. It can be built and changed quickly because it does not try to do everything an ERP does.

Do these replace our ERP or MES?

No. They fill the gaps around it. Where it helps, a micro-app reads from or writes to your ERP so data is entered once.

Will an AI agent act on its own?

Only as far as you decide. Most agents prepare the work and a person approves it before anything is sent or changed, and every step is logged.

Do they work without internet on the shop floor?

Yes. Shop-floor apps can keep working on the local network and sync when the connection returns.

Related

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