DecomBench

Benchmark decommissioning costs against real European project data

Score: 6.1/10FranceHard Build
Brand Colors

The Opportunity

Problem

Decommissioning aging nuclear reactors costs €1.4B and takes 22 years after decades of safety failures

Solution

DecomBench lets utilities upload project plans and instantly see how their forecasted costs and 22-year timelines compare to anonymized completed projects. It surfaces specific opportunities to save tens of millions while maintaining regulatory safety standards.

Target Audience

European nuclear utility executives and regulators overseeing aging reactor fleets

Differentiator

Largest anonymized database of actual European nuclear decommissioning costs broken down by phase, reactor type, and country

Brand Voice

supportive

Features

Project Upload Wizard

must-have40h

Structured intake of cost, schedule, and scope data

Benchmark Engine

must-have55h

Compares project against 40+ historical European cases

Interactive Cost Visualizations

must-have35h

Breakdown charts showing variance by decommissioning phase

Timeline Predictor

must-have45h

Monte-carlo style forecast with confidence intervals

Optimization Recommendations

must-have40h

Actionable list of highest-ROI changes based on benchmarks

Secure Anonymization Pipeline

must-have30h

Automatically strips identifying information before contributing to database

What-If Scenario Tool

nice-to-have50h

Model impact of scope changes on cost and timeline

Peer Group Reports

nice-to-have35h

Compare against similar reactors by age, type, and country

Exportable Board Decks

nice-to-have25h

One-click PowerPoint with visuals for executive presentations

Total Build Time: 355 hours

Database Schema

organizations

ColumnTypeNullable
iduuidNo
nametextNo
created_attimestampNo

projects

ColumnTypeNullable
iduuidNo
organization_iduuidNo
reactor_typetextNo
estimated_costintNo
estimated_durationintNo
is_anonymizedboolNo

Relationships:

  • organization_id → organizations.id

benchmark_records

ColumnTypeNullable
iduuidNo
project_iduuidNo
phasetextNo
actual_costintYes
actual_monthsintYes
countrytextYes

Relationships:

  • project_id → projects.id

recommendations

ColumnTypeNullable
iduuidNo
project_iduuidNo
titletextNo
savings_estimateintYes
confidenceintNo

Relationships:

  • project_id → projects.id

API Endpoints

POST
/api/projects/upload

Process and anonymize uploaded project data

🔒 Auth Required
POST
/api/benchmark

Run comparison against historical database

🔒 Auth Required
POST
/api/scenarios

Create and evaluate what-if scenarios

🔒 Auth Required

Tech Stack

Frontend
Django + HTMX + Tailwind
Backend
Django 5
Database
PostgreSQL
Auth
Django Allauth
Payments
Stripe
Hosting
Railway
Additional Tools
CeleryPlotlyPandas

Build Timeline

Week 1: Setup and auth

38h
  • Django project
  • Auth system
  • Landing page

Week 2: Data models

45h
  • Project and benchmark schemas
  • Admin import tools

Week 3: Benchmark engine

55h
  • Core comparison algorithm
  • Anonymization pipeline

Week 4: Visualizations

50h
  • Dashboard charts
  • Recommendation engine

Week 5: Scenario modeling

48h
  • What-if simulator
  • Export functionality

Week 6: Payments and testing

40h
  • Stripe billing
  • Comprehensive test suite

Week 7: Data seeding

35h
  • Historical dataset import
  • Documentation

Week 8: Beta launch

30h
  • Onboarding wizard
  • Public beta
Total Timeline: 8 weeks • 385 hours

Pricing Tiers

Starter

$0/mo

No scenario modeling

  • 1 benchmark per month
  • Basic comparisons

Professional

$35/mo

Up to 8 users

  • Unlimited benchmarks
  • Full visualizations
  • Recommendations
  • Scenario tool

Enterprise

$99/mo

Unlimited

  • Everything in Pro
  • Custom peer groups
  • API access
  • Dedicated account manager

Revenue Projections

MonthUsersConversionMRRARR
Month 13222%$245$2,940
Month 612834%$1,512$18,144

Unit Economics

$460
CAC
$1540
LTV
3.8%
Churn
79%
Margin
LTV:CAC Ratio: 3.3xExcellent!

Landing Page Copy

Stop Guessing. Start Benchmarking.

See exactly how your €1.4B decommissioning plan compares to real European outcomes. Cut costs and timelines with data, not hope.

Feature Highlights

Compare against 40+ real projects
Phase-by-phase cost variance
Monte-carlo timeline forecasts
Actionable € savings recommendations
Fully anonymized data contribution

Social Proof (Placeholders)

"'Identified a 14% cost reduction opportunity in waste management in one afternoon.' — CFO, Engie"
"'The only tool that uses actual completed project data instead of theory.' — Regulator, STUK Finland"

First Three Customers

Offer free benchmark runs to decommissioning project directors at EDF, RWE, and Fortum in exchange for contributing anonymized historical data. Use existing relationships from previous nuclear projects and offer co-branded benchmark reports they can present internally.

Launch Channels

World Nuclear Decommissioning SummitLinkedIn thought leadership (benchmark reports)ENSI and IAEA working groupsr/nuclear and nuclear subreddit AMA

SEO Keywords

nuclear decommissioning cost benchmarkreactor decommissioning timeline toolnuclear project cost comparisonEuropean decommissioning datanuclear cost optimization software

Competitive Analysis

Project Controls Group

projectcontrolsgroup.com
Enterprise only
Strength

Strong in construction

Weakness

No nuclear-specific benchmark database

Our Advantage

Nuclear-only anonymized dataset

🏰 Moat Strategy

Network effect: every new benchmarked project makes the dataset more valuable. Data moat grows faster than competitors can copy.

⏰ Why Now?

Massive wave of European reactor retirements beginning 2025-2035 combined with inflation making historical estimates useless

Risks & Mitigation

marketmedium severity

Utilities reluctant to share cost data

Mitigation

Strong anonymization guarantees and reciprocal value (free benchmarks for contributors)

executionmedium severity

Building accurate benchmark algorithms

Mitigation

Start with rule-based matching, add statistical models after initial data collected

Validation Roadmap

pre-build25 days

Validate willingness to share anonymized data with 10 utilities

Success: At least 6 agree to contribute historical data

mvp50 days

Beta with seeded dataset of 12 projects

Success: Users find at least 2 actionable insights per benchmark

Pivot Options

  • Sell benchmark data to regulators and insurers
  • Expand into full project management suite
  • Create public nuclear cost index

Quick Stats

Build Time
385h
Target MRR (6 mo)
$4,800
Market Size
$22.0M
Features
9
Database Tables
4
API Endpoints
3