Automated savings verification

you can trust

Register a project. Savings are modeled, verified
and continuously tracked across your entire portfolio.

ento.ai/verify-savings
Annualized Savings
0 MWh
0 tCO₂e 0 EUR
Total Verified Savings in 0 days
Energy
0 ± 4,700
kWh
Carbon
0 ± 1,900
kgCO₂e
Cost
0 ± 700
EUR
Hourly
Daily
Weekly
Energy Consumption (kWh)
Baseline Period
Reporting Period
Dashboard mockup
FULLY AUTOMATED

Rigorous savings verification on autopilot

Getting savings verification right, from baseline modeling to ongoing recalibration, takes serious effort. Ento automates the full workflow.

Register a project, and our platform builds a weather- and calendar-normalized baseline model for that meter, calculates savings against the counterfactual, and reports confidence intervals using ASHRAE-aligned uncertainty methods. Every step follows IPMVP and established international M&V standards.
CONTINUOUS TRACKING

Live savings tracking across every project

Traditional M&V is a one-off exercise: implement a project, wait a full year for valid data, run the numbers, deliver a report. By the time results land, performance drift may have eroded the savings you thought you had.

Ento tracks savings continuously from the moment a project goes live. You see cumulative verified savings updates as new consumption data flows in, across every project and every building. If a project underperforms, we notify you immediately.
Dashboard mockup
Savings You Can trust

Built for real-world M&V

Buildings change constantly. Ento's models are designed
to handle real-world operations automatically.

M&V Engine — Ento Style

Savings metrics at a glance

Every project gets a live dashboard showing the numbers that matter: cumulative savings, projected annual impact, and the confidence level of each estimate. Roll up to portfolio level for a single view across all buildings.

Key capabilities

Project-level detail
Savings-to-date in kWh, cost, and CO₂, with confidence intervals so you know how precise your estimate is.
Portfolio rollup
Aggregate verified savings across hundreds of projects and buildings in one view. Filter by energy type, building type, or project category.
Performance tracking over time
See how each project's savings evolve month by month. Spot degradation early, before value is lost.

The right model for every meter

A savings model is only as good as its inputs. Ento automatically evaluates weather, calendar, and occupancy variables and selects the combination that produces the most accurate baseline for each meter.

Key capabilities

Automated variable evaluation
Tests multiple input combinations and selects the set that maximizes accuracy without overfitting.
Per-meter optimization
Each meter gets its own model with its own inputs. A school's electricity meter and a hospital's heating meter won't use the same variables.
Transparent model reporting
See which variables were selected, their relative importance, and model fit metrics. No black box.

Detect changes that affect your results

Buildings change: a wing gets renovated, occupancy shifts, new equipment is installed. These events distort savings calculations if they go unaccounted for. Ento flags significant shifts in consumption patterns and helps you isolate project impact from unrelated changes.

Key capabilities

Automatic shift detection
Identifies step changes in consumption that fall outside normal variability, so non-routine events don't silently corrupt your results.
Baseline adjustment support
When a confirmed non-routine event occurs, the model adjusts accordingly, preserving the integrity of the counterfactual.
Audit-ready documentation
Each detected event is logged with timestamps and impact estimates, giving you a clear trail for reporting and compliance.

Built to handle building changes over time

Buildings evolve over time: floor area changes, operating hours shift, equipment gets replaced. If your baseline model trains on data that spans these changes, the results become unreliable. Ento automatically detects periods of consistent energy behavior in your historical data and builds the baseline using only the relevant segments.

Key capabilities

Automatic segmentation
Detects periods of consistent energy behavior in historical data, isolating stable segments without requiring manual input.
Clean counterfactual construction
Builds the model using only data from relevant segments, so past renovations, occupancy changes, or equipment swaps don't distort your savings estimate.
No manual regime tagging
Traditional M&V requires practitioners to manually identify and exclude affected periods. Ento handles this automatically, reducing setup effort and human error.
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FREQUENTLY ASKED QUESTIONS

Still got questions?

How does Ento verify savings?

When you register an energy efficiency project, Ento builds a counterfactual model of what consumption would have been without the intervention, using pre-project meter data, weather, and calendar patterns. It then compares actual post-project consumption against this baseline and reports verified savings in kWh, CO₂, and cost, together with confidence intervals that highlight how precise the result is.

What M&V methodology does Ento follow?

Ento follows the International Performance Measurement and Verification Protocol (IPMVP), primarily Option C (Whole Facility). The platform uses weather- and calendar-normalized baseline models and reports uncertainty using ASHRAE-aligned methods. Every step is transparent and audit-ready: you can inspect which variables were selected, model fit metrics, and confidence intervals.

Do I need to set up the baseline model manually?

No. When you register a project, Ento automatically evaluates weather, calendar, and occupancy variables and selects the combination that produces the most accurate baseline for each meter. You don't need to configure models, select variables, or clean training data. If you want to override or adjust, you can, but most users never need to.

How does Ento handle building changes that happen outside the project?

Buildings change constantly: renovations, occupancy shifts, new equipment. If these go unaccounted for, they distort savings calculations. Ento automatically detects significant shifts in consumption patterns and flags non-routine events. When a confirmed event occurs, the model adjusts accordingly, so your savings numbers reflect the project's actual impact.

Can I track savings across my whole portfolio?

Yes. Every project gets its own live dashboard, but you can also roll up verified savings across hundreds of projects and buildings in a single portfolio view. Filter by energy type, building type, or project category. This makes it straightforward to report total impact to leadership, funders, or regulators.

How quickly can I see results after a project goes live?

Ento starts tracking savings from the moment a project's reporting period begins. You don't need to wait a full year for valid data: cumulative savings update continuously as new consumption data flows in. If a project underperforms, you'll know early, so you can take action quickly.

Is the output suitable for compliance and public reporting?

Yes. Every savings estimate includes confidence intervals, model documentation, and event logs with timestamps and impact estimates. This provides a structured evidence trail for audits, funding applications, regulatory compliance, and public accountability, that would normally take months to build manually.

What if I've already done M&V manually or with a consultant?

Ento can run alongside existing processes or replace them. If you're doing M&V in spreadsheets or through periodic consultant reports, the platform automates the same workflow continuously, so you get live results instead of a static report delivered months after the fact. You can start with a few projects and expand as you see the value.

I'm an M&V consultant. Can I use Ento in my work?

Absolutely. Ento automates the heavy lifting of baseline modeling, savings calculation, and ongoing tracking, so you can focus on interpretation, advising clients, and higher-value work. Register projects on behalf of your clients, and the platform handles variable selection, model fitting, non-routine event detection, and confidence interval reporting, all following IPMVP methodology. Several consultancies already use Ento to scale their M&V practice across more buildings without proportionally scaling their team.