Cost modeling for Product Managers who need defensible answers

You're building the roadmap. Finance wants numbers. Engineering wants direction. Leadership wants confidence. Your cost model needs to hold up in every room.

By Erhan Eren
Updated 1 December 2025

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The cost modeling problem every PM faces

You're making decisions on incomplete data. And everyone knows it.

  1. Your CAPEX numbers contradict last quarter's report
  2. OPEX assumptions haven't been updated in 18 months
  3. LCOE models don't account for real-world degradation
  4. Competitor intelligence is based on press releases, not filings
  5. Your roadmap depends on costs that might be wrong

ENKI fixes the input problem.

ENKI gives PMs cost intelligence
that traditional tools cannot deliver

Product Managers do not need more charts. They need evidence that reflects real movement in the market.

ENKI brings structure to cost modeling through three things.

 

Live cost signals

ENKI reads what changes cost in the real world: deployments, CAPEX, and OPEX from filings, stack efficiency shifts, supply chain movements, policy impacts, scaling patterns, lifetime, and degradation evidence. Not guesses. Real signals.

 

Comparable evidence across technologies

Analyze fuel cells, electrolysers, storage systems, and hydrogen pathways using the same structure. Every value is backed by citations, so PMs can compare like-for-like across options.

 

Defensible cost models

Support modern cost modeling: probability ranges, scenario-based TEA, risk adjusted CAPEX and OPEX, scaling curves, policy sensitive forecasts that stand up to leadership review.

 
Policy &
scaling
Cost signals
ENKI watches first
Supply
chain
CAPEX &
OPEX
Deployment
signals
Stack
efficiency

Live cost signals from the market

ENKI tracks what actually moves cost. Not forecasts. Not vendor claims. Real data.

Company filings
CAPEX, OPEX,
deployment
Operational telemetry
Real-world usage data
Supply chain data
Material costs and lead times
Performance metrics
Efficiency and
degradation
Market cost signals
Live observed price moves
Central
Processing
Unit
  • Company filings (CAPEX, OPEX, deployment scale)
  • Supply chain movements (material costs, lead times)
  • Performance data (efficiency, degradation, lifetime)
  • Policy impacts (incentives, tariffs, regulations)
  • Scaling patterns (learning curves, volume effects)

Updated continuously. Cited completely. Ready when you need it.

Compare technologies using the same structure

Stop translating between incompatible reports. ENKI structures every technology the same way.

Dimension What ENKI standardises
Efficiency Operating conditions, performance curves, real-world vs rated output
Lifetime Degradation patterns, replacement cycles, failure modes
Cost structure CAPEX breakdown, OPEX components, scaling effects
Risk factors Technology readiness, supply chain exposure, policy sensitivity
Application fit Use-case suitability, operational constraints, system integration

Every number links back to its source so you can show your work in any stakeholder meeting.

Model uncertainty instead of pretending it doesn't exist

Your roadmap has risk. Your cost model should show it.

Probability distributions

Model cost as a range, not a single number. Show P10, P50, P90 scenarios.

Risk-adjusted economics

TEA that accounts for technology risk, market risk, execution risk.

Scenario planning

Best case, base case, worst case. Policy changes. Supply shocks. Technology breakthroughs.

Sensitivity analysis

See which assumptions matter most. Focus your diligence where it counts.

Stop defending point estimates. Start showing the full picture.

What this means for your workflow

 

Defend your roadmap with cited evidence

 

Catch cost shifts before they hit published reports

 

Align engineering and finance on the same numbers

 

Compare competing tech paths with confidence

 

Quantify risk without slowing down decisions

 

Build TAM/SAM models that hold up under scrutiny

PM reviewing AI cost dashboards

What PMs actually do in ENKI

 

Validate cost assumptions

Before committing to a tech path

 

Build market sizing (TAM/SAM/SOM)

With real deployment data

 

Support build vs buy decisions

With comparable evidence

 

Identify cost inflection points

For timing decisions

 

Spot early deployment trends

In competitor moves

 

Align cross-functional teams

On shared assumptions

Every insight is cited. Every number is defensible.

Built for how PMs actually work

PM decisions hinge on small details: real deployment data, true cost structures, and verifiable market signals. That is why every insight you find here is concise, sourced, and free of hallucinations. You get the facts you need to support a roadmap, validate a model, or brief stakeholders without noise or uncertainty.

1

No Fluff

Short insights. Clear evidence. Zero marketing speak.

2

Fully cited

Every value links to its source. Filings, papers, deployment data.

3

No hallucinations

ENKI doesn't generate answers. It finds them.

Stop guessing. Start knowing.

See how ENKI gives product teams the cost intelligence they need to ship with confidence.

Wind turbines over digital grid