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ROI Calculator

Estimates based on industry benchmarks. View sources · Get a personalized analysis with your actual data.

How to use this calculator

Estimate the annual cost of unplanned failures, warranty events, and downtime for your industry and how much Astrolabe Analytics can reduce it. Adjust the inputs to match your operation. Use Conservative / Base / Optimistic to see the range.

OEM / Pack Manufacturer

Warranty events, pack replacement costs, and diagnostic burden

Active packs under warranty How many battery packs are in your current warranty coverage window?
30,000
packs
Annual warranty event rate % of packs generating a warranty claim per year
1.5%
%
Average cost per warranty event Includes diagnostics, admin, repair/replacement labor and parts
$
/event
Astrolabe annual subscription Typical range $60K–$120K. Scales with fleet size; adjust to your estimate.
$
/year
Implementation cost (one-time) Year 1 only: integration, onboarding, and model calibration
$
How Astrolabe reduces warranty exposure: By improving SoH accuracy and enabling early detection, Astrolabe typically captures 7–10% of gross warranty exposure as avoidable cost. Base case uses 8.75%.

Subscription pricing scales with fleet size and integration scope. The figure above is a starting point. Adjust it to match your situation or a quote you've received.
Battery assets monitored Number of vehicles, equipment units, or battery systems in your fleet
600
assets
Battery-related unplanned events per asset per year Unexpected failures, roadside breakdowns, shop visits due to battery issues
0.22
events/asset-yr
Downtime cost per operating hour Lost revenue, idle crew, and penalty fees per hour the asset is out of service
$
/hour
Average downtime hours per incident From failure detection to return-to-service
hours
Non-capital service cost per event Labor, diagnostics, roadside/towing, and parts, not including full pack replacement
$
/event
Astrolabe annual subscription
$
/year
Implementation cost (one-time)
$
How Astrolabe reduces fleet exposure: Early detection and predictive scheduling typically reduces battery-related downtime and service events by 12–20%. Base case uses 15%.
Active aircraft or systems Number of platforms with battery shipsets in active operation
40
aircraft
Dispatches or missions per aircraft per year Total flight operations per airframe annually
/aircraft-yr
Unscheduled battery removals per aircraft per year Shipset pulled for inspection, replacement, or precautionary reasons
0.30
/aircraft-yr
Cost per unscheduled removal Removal labor, inspection, expedite shipping, aircraft downtime during removal
$
/removal
Certification / ICA evidence burden per year Engineering hours, documentation, testing to support continued airworthiness
$
/year
Astrolabe annual subscription
$
/year
Implementation cost (one-time)
$
How Astrolabe reduces aviation exposure: Predictive health monitoring typically reduces unscheduled removals by 25%. Automated data collection and trend analysis reduces the engineering effort required for continued airworthiness evidence by approximately 30%.
Rated system power Total nameplate power capacity of the storage portfolio or project
150 MW
MW
Annual gross revenue at risk Capacity, ancillary services, and energy arbitrage revenue, per kW per year
$
/kW-yr
Avoidable availability loss Percentage points of availability lost to degradation that better health intelligence could prevent
1.5%
pp
Annual warranty / LD exposure Liquidated damages and warranty claims expected from degradation shortfalls
$
/year
Annual augmentation reserve Amortized cost of planned battery augmentation or capacity top-up over the project life
$
/year
Astrolabe annual subscription
$
/year
Implementation cost (one-time)
$
How Astrolabe reduces ESS exposure: Better degradation models improve availability capture (35% of availability loss) and reduce LD/warranty exposure (20%). The biggest lever is augmentation: more accurate SoH forecasting helps right-size and defer augmentation events, typically recovering 8% of the augmentation reserve.
Ranges calibrated using public benchmarks from NREL, Argonne, DOE AFDC, FAA AC 20-184, and CAISO storage reports. View sources →

Your estimated exposure & ROI

Battery OEM · Base case

Annual risk exposure
$0
Total quantifiable annual cost at current capability level
Annual savings
$0
With Astrolabe
Year 1 net benefit
$0
After all costs
Year 1 ROI
0×
Return on investment
Payback period
—
Months to break even
Savings as % of total exposure 0%
Get a personalized estimate →

These estimates are illustrative. Actual savings depend on your specific data, chemistry, and operational conditions. A free gap analysis uses your real numbers.