Automation & Optimization
Excel is costing you more than you think.
Every manual calculation is time wasted. Every Excel workbook shared across teams is a version control nightmare. Every copy-paste operation is a chance for errors. Companies lose weeks to work that could be automated—and miss optimization opportunities because the math is too complex to run manually.
The gap between "we do this in Excel" and "we have an automated system" isn't just efficiency—it's competitive advantage. While competitors run scenarios once a week, automated systems can test thousands of scenarios overnight.
Our approach to automation & optimization
We don't just move spreadsheets to code—we rethink the entire workflow. What decisions are you trying to make? What data feeds those decisions? Where are the bottlenecks?
For automation, we build systems that handle edge cases, validate inputs, and give clear error messages when something's wrong. Your team should trust the automated system more than they trusted the manual process.
For optimization, we use proven algorithms—genetic algorithms, linear programming, constraint satisfaction—tailored to your specific problem. The goal isn't mathematical elegance; it's giving you actionable answers fast enough to matter.
Practical cases
Challenge
An energy company ran critical calculations in Excel—forecasting energy production, calculating regulatory compliance metrics, and analyzing market positions. The process required hours of manual work, was error-prone, and couldn't handle the growing volume of data. Scaling the business meant hiring more people to run calculations.
Solution
We built Python applications that automated the entire calculation pipeline. The system ingests data from multiple sources, runs validations, performs complex calculations, and generates reports—all automatically. Error handling catches issues before they become problems. The applications are designed to be maintained by the client's team, not locked in consultant-only code.
Outcome
Calculations that took hours now run in minutes. The team shifted from data entry to analysis—using the extra time to find insights instead of fighting Excel. The system scales with data volume without adding headcount. As the business grew, the automation grew with it.
Who this is for
Energy companies drowning in Excel calculations
Factories with multiple energy assets needing optimization
Trading firms requiring algorithmic systems
Operations teams doing repetitive calculations
Companies where "we could optimize this" but it's too complex manually
Anyone losing competitive advantage to manual processes
Ready to automate what's slowing you down?
Tell us about your current process.