The agentic brain
for manufacturing.
Emerging Logic builds one intelligence for the whole plant. It perceives every signal, predicts what happens next, reasons through the options, imagines scenarios the plant has never seen, and acts with your team to raise efficiency, cut cost and reduce carbon. We start with cement, chemicals and metals.
What we are built to move
Plenty of data and tools. Nothing connecting them.
A typical plant runs a dozen vendor systems, floods operators with alarms and still makes its biggest decisions in spreadsheets. Expert knowledge is retiring, and new products, fuels and decarbonisation routes have no history to learn from.
- Siloed systemsDCS, historian, LIMS, maintenance and ERP that don’t talk to each other
- Alarm floodshundreds of alerts a shift, few of them prioritised or costed
- Point solutionsone tool per asset or vendor, none seeing the whole process
- Knowledge walking outexperienced engineers retiring faster than they can be replaced
- No data for the newrare failures, new grades and new fuels have little or no history
One intelligence that perceives, predicts, reasons, imagines and acts.
The brain sits above every system and vendor in the plant. Six faculties work as one loop, and each step is visible, explained and auditable. Select a faculty to see what it does.
Start with one decision. Grow into the whole brain.
Every offering runs on the same data foundation and knowledge graph, so each one makes the next faster to deploy.
From alert to costed decision in minutes.
Agents work through the same steps as your best engineer: detect, diagnose, generate options, recommend and learn. Every action is costed in money and carbon, approved by a named person, and logged with its measured outcome.
When history runs out, the brain imagines.
Rare failures, new products and new fuels have little or no data. Our Synthetic Data Engine generates physically valid plant states so the brain can predict and reason about them too. Choose a process and a scenario that has never happened on your site.
Illustrative simulation running in your browser. Production uses physics-informed generative models calibrated to site data.
From today’s efficiency to tomorrow’s products.
One brain, many decisions. Start with the use case that matters most to your plant; each one makes the next faster to deploy.
Targets are typical ranges we design for, not guarantees. Every result is measured against an agreed baseline and recorded in the value ledger.
Efficiency, cost and carbon, measured in one ledger.
Every recommendation carries its value in pounds and tonnes of CO₂. Approved actions and their measured outcomes are recorded, so plants see audited results, not promises.
More output from the same asset
- Fewer unplanned stops on critical equipment
- Higher yield and first-time-right quality
- Faster, safer start-ups and grade changes
Lower cost per tonne
- Energy and fuel per tonne reduced
- Less off-spec product, rework and giveaway
- Maintenance planned, not reactive
Less carbon, by design
- CO₂ per tonne tracked for every action
- Higher alternative-fuel and feedstock rates, de-risked in simulation
- Decarbonisation routes compared before capex
A brain that understands how a plant works.
Our models and agents run on a knowledge graph of systems, processes, equipment and variables, with the cause-and-effect links between them. It gives AI the engineering context that generic models lack, and cuts onboarding from months to weeks.
Subset of the graph. Hover a node to see its links; drag to move.
Built by people who have run AI inside heavy industry.
Give your plant a brain.
We are working with a small number of design partners in cement, chemicals and metals. Start with one decision: a critical asset, a process unit, a new product or a decarbonisation route. The brain grows from there.