Context
Most portfolio owners face the same challenge: limited data about their buildings and a slow, expensive path to turning that data into a plan. The conventional answer, detailed engineering audits of every asset, assumes you need near-complete certainty before you can act. In practice, that standard delays decisions, consumes budget, and still leaves open questions.
Carbon Signal starts from a different premise. The goal isn't a perfect model of every building. It's knowing where to focus first, and how confident you can be in your decisions along the way.
Getting Started
Using only building size, location, and monthly utility data, Carbon Signal builds an existing-conditions picture for every building in a portfolio. It pairs the fidelity of physics-based energy models with the speed of machine learning to identify each building's primary energy drivers, and auto-calibrate an energy model of every asset, cutting the time and cost of traditional audits by two orders of magnitude.
That means teams can get a portfolio-wide view in minutes rather than waiting years to audit every building.
Uncertainty as a Feature
With limited data, there are usually several plausible explanations for how a building uses energy. Rather than picking one and presenting it as fact, Carbon Signal's ensemble approach searches for every solution that fits the data well and combines them into a probabilistic model. The result is a range of likely current conditions, and forecasts of future energy and carbon with quantified uncertainty.
That range is what makes the analysis useful for decisions:
- When outcomes cluster tightly, teams can move forward with confidence.
- When outcomes spread widely, that's a signal the building deserves a closer look, such as an audit, sub-metering, or a site visit, before committing capital.
In other words, uncertainty tells you where further investigation will pay off and where it won't.
Compare Options
For every building, Carbon Signal simulates upgrade scenarios, from envelope and lighting improvements to operational controls and HVAC electrification, while accounting for site-specific changes in future climate, usage, and technology.
Teams can weigh those results against their own criteria, including first costs, embodied carbon, and equipment replacement timelines. Multi-objective optimization then groups building-specific projects into portfolio-wide pathways, showing which moves deliver the most carbon reduction for the investment, and when they make sense to implement.
Team Coordination
- Building owners can focus capital and attention on the assets and measures with the greatest impact, then track progress against targets.
- Investors get credible, technically grounded strategies in place of arbitrary targets over arbitrary timelines.
- Portfolio managers get predictive analytics and the ability to spot gaps in their utility data for more complete energy and emissions accounting.
Act Now
Good decisions made now beat perfect decisions made too late. Carbon Signal shows you where to act, how confident you can be, and where a closer look is worth it, so your team can spend its time and budget on the decisions that matter most.
