Industrial companies are being pushed to run tighter operations while cutting emissions and reporting more clearly. Most already have the data. It’s just scattered across too many systems.
That’s a data problem before it’s anything else.
We’re working with Merck Life Science to help bring that data together and make it usable. This project puts a working model in place for connecting complex industrial sites, where energy systems, utilities, and production processes need to be seen together.
Connecting Systems That Don’t Talk to Each Other
Manufacturing sites generate large amounts of data across equipment, utilities, and operational systems. Most of it sits in separate tools, which makes it hard to understand what’s actually going on.
Akila brings these data streams into one model. By integrating inputs from assets, utilities, and sensors, teams can see what’s happening across the site as it happens.
Electricity, water, gas, and renewable energy flows are viewed together. This makes it easier to spot waste and inefficiencies that are easy to miss when systems are tracked separately.
Making Energy Data Useful
Access to data isn’t the problem. What matters is how quickly teams can act on it.
With energy and operational data in one place, facility and operations teams can see where energy is being used, where it’s being lost, and how performance changes over time.
This shifts improvement from occasional audits to day-to-day decisions, with data feeding directly into how the site is run.
Tracking and Managing Emissions
As decarbonization becomes a priority, companies are expected to measure and report emissions more accurately.
Akila calculates emissions automatically using real-time and historical data, based on standard reporting frameworks. This reduces manual work and improves the consistency of ESG reporting.
It also helps teams stop looking backward and start managing emissions in real time. Carbon stops being just a report and becomes something teams manage day to day, alongside cost and performance.
Making This Work Across Sites
One-off projects don’t scale.
To reduce emissions across a portfolio, companies need systems that can be rolled out consistently across sites. By putting a shared data structure in place, teams can compare performance, track progress, and apply what works in one location to others.
This is how incremental improvements start to add up.
A Shift in How Manufacturing Operates
This is part of a wider shift across manufacturing. Companies are moving away from disconnected tools and toward systems that bring operations and sustainability data together.
We help teams get their data in one place and use it to run cleaner, more efficient sites.
