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Koidra
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AI for dryers, boilers, greenhouses and data centers

The agentic system for industrial processes

Less energy in every unit, fewer unplanned stops, and the same result on the night shift as on the day shift.

Book a demo What it takes to let AI run your plant

Proof

An AI ran a commercial crop better than expert growers. Twice.

Koidra won the international Autonomous Greenhouse Challenge in 2018 and again in 2022. Each time, the AI grew the crop for months with no grower at the controls.

Aerial view of a commercial glasshouse complex, several ranges of glass with the packhouse and buffer tanks alongside
2×
Winner, Autonomous Greenhouse Challenge 2018 and 2022, a live crop each time
19.5%
Yield increase on cucumber compared with the same crop grown by hand next to it
17%
Energy savings in commercial greenhouse operations
20%
Dryer efficiency gain at Ayo Biomass, after a two-phase KoPilot deployment

Industries

Built for operations where output and energy are decided hour by hour

Manufacturing
Inputs vary load to load and every machine downstream absorbs it. The drift surfaces on a utility bill a month later rather than as an alarm.

Watched here: Energy per tonne

Greenhouse Farming
Yield is what the year turns on, and it still depends on which grower is on shift. Light and heat follow the same setpoints nobody has revisited since last season.

Watched here: Yield per square meter, and energy per kilo

Data Centers
Cooling is the largest controllable cost in the building, and setpoints are still tuned by hand against a comfort margin nobody has revisited.

Watched here: PUE and approach temperature

What our customers say

We are excited to partner with Koidra in this innovative trial. Their AI-based automation technology represents the future of sustainable agriculture. By integrating Koidra’s solutions, we aim to enhance our operational efficiency and continue providing high-quality produce to our customers.
Octavio Perez Rodriguez Director, Growing Operation at Nature Fresh Farms
Koidra’s dashboard visualizes the plant’s condition and real-time performance, enabling me to monitor it remotely. Thanks to up-to-date insights, I can lead cross-function teams, improve processes in a timely manner, and make data-driven business decisions.
Trang Do Continuous Improvement Manager, Ayo Biomass

The platform

Two ways in. One platform underneath.

Start with Koidra CMMS, which needs nothing connected, or with DataPilot, which we connect for you. Neither needs the other. Predix needs both and comes with both, and is where predictive maintenance comes from. KoPilot runs the process on top. Every product pays for itself on its own.

  1. Start here CMMS Work orders and preventive maintenance on your team's phones
  2. Start here DataPilot Every sensor and shift reading, live and in one place
  3. AI insights Predix Reports that say what to change, and warnings before a machine fails
  4. Autonomous control KoPilot Runs your process around the clock, inside the limits your engineers set

What it takes to let AI run your plant, or see how the four fit together.

Your machine data and your team’s notes, in one place

Koidra keeps sensor readings, energy meters, equipment history, maintenance work and the readings operators type on their phones together, tied to the same machine and the same production batch. Most plants already have this data, but in separate systems. AI can only act on what it can see, so it needs all of it in one place.

Physics-aware AI, because a wrong setpoint is expensive

Our models are grounded in how heat, mass and machinery actually behave, rather than fitted to last quarter’s numbers. The model knows a dryer cannot heat faster than its mass allows, so it never proposes it.

That is what makes an autonomous decision safe enough to trust with a live plant, and it is where our research heritage sits.

How KoPilot changes settings, and the limits it cannot cross Koidra's AI reads the process and proposes new settings. They pass through the operating limits your engineers set, then reach your control system, which applies them to the process. This runs every minute. The process dryer, boiler, hall, crop Koidra's AI knows what the equipment can and cannot do Operating limits set by your engineers Your control system new settings sent back every minute, not every shift
Every new setting passes through limits your engineers set for your site. The AI cannot learn or change them, and your safety systems and interlocks stay in charge.

How it works

One reading can raise an alarm, open a work order, write a report or change a setting

The platform treats a sensor reading and a number an operator types the same way. That is why an alarm can fire on a hand-entered moisture reading, and why a trend can open a work order before anyone notices it.

How a reading becomes an action A sensor reading and an operator's hand-entered reading both enter unified operational data. From there an alarm reaches a phone, a work order opens against the right asset, reports are written, and KoPilot adjusts setpoints. Process sensor every few seconds Operator's reading typed on a phone Unified operational data same equipment and batch, same clock Alarm on a phone Work order opens Report is written KoPilot adjusts setpoints the platform treats both the same
Your existing data logger never sees the operator's reading, and a maintenance system never sees the trend. Holding both makes everything to the right of the record possible.

See Koidra on your own plant data

Bring a week of readings from one line. We will show you what the platform sees, what it would have flagged, and what it would have scheduled.

Book a demo