Green hydrogen costs €5–9/kg today. It could cost €2–4/kg. The gap is not physics — it’s wasted electricity, wrong equipment choices, and heat thrown away every day.
⚡
Electricity = 60–75% of LCOH
The electrolyzer runs when power is expensive. Smart 15-min spot-market dispatch cuts electricity cost by 20–35%.
→ HydrOS OPTIMIZE: Live ENTSO-E dispatch
🏭
Wrong equipment = wrong economics
Choosing the wrong electrolyzer or storage for your site permanently adds €1–3/kg to your LCOH. Most operators use Excel. We use 278 real product specs.
→ HydrOS PLAN: AI plant design from real specs
🌡
Waste heat thrown away daily
Every hydrogen plant generates heat from electrolysis and fuel cells worth €200–800k/year in free cooling and water. Almost no one captures it.
→ HydrOS RECOVER: Thermal recovery module
Where does €/kg go? — Typical 10MW green hydrogen site
Electricity
€3.95/kg • 68%
CAPEX
€1.16/kg
O&M + Water
€0.71/kg
↓ Cutting electricity cost by 25% reduces LCOH by ~€1/kg. That is HydrOS OPTIMIZE.
The platform
Three modules. One platform.
HydrOS by HYNERTIA addresses the full green hydrogen cost problem — planning the right system, dispatching electricity at the cheapest moment, recovering every joule of waste heat. Click each module below to try it live.
📊
PLAN
Active
Feasibility & TEA. Select from 278 real components, get full LCOH breakdown, AI recommendations to reduce cost.
⚡
OPTIMIZE
Live ENTSO-E spot dispatch. Run only when power is cheapest. Proved €32,910 net profit on real SE3 data Q1 2026.
🌡
RECOVER
Waste heat → absorption chiller → free cooling. Turns discarded energy into €200–800k/year revenue.
Run only when power is cheapest. Buy at 15-min granularity. Proved €32,910 net profit on real SE3 data Q1 2026.
How it works: HydrOS connects to ENTSO-E Transparency Platform in real time, fetches 15-minute day-ahead prices for your grid zone, then schedules electrolyzer operation only during the cheapest hours while keeping storage above minimum. Every €10/MWh saved on electricity = ~€0.50/kg saved on LCOH.
Avg electricity cost
€44/MWh
vs €71 baseload
Capacity factor
52%
of available hours
LCOH reduction
€1.28/kg
vs always-on
Annual savings
€432k
vs baseload operation
Simulated SE3 price profile — 24 hours typical day — green = electrolyzer ON, teal = negative price (get paid!)
00:0006:0012:0018:0023:00
⚡ Negative price capture: SE3 experienced 127 hours of negative prices in Q1 2026. During these periods, you get paid to consume electricity. A 10MW electrolyzer earns €8–24k during negative-price windows while producing effectively zero-cost hydrogen. HydrOS captures 100% of these windows automatically.
🌡
Thermal Recovery Calculator
PEM electrolyzers waste 15–30% of input power as heat at 60–80°C. RECOVER turns this into free cooling and district heating revenue.
How it works: The electrolyzer stack runs at ~70°C. Waste heat exits via the cooling loop. HydrOS routes this to an absorption chiller (COP 0.8) which converts heat into cooling — zero electricity required. Remaining heat goes to district heating. Fuel cell exhaust water (9L per kg H₂) is recovered, filtered, and returned to the process.
Energy flow — where the heat goes
Waste heat captured
2.0 MW
continuous thermal
Free cooling
1.6 MW
absorption chiller COP 0.8
DC cooling covered
53%
of demand for free
Water recovered
15,700 L/day
Annual value breakdown
TOTAL ANNUAL VALUE€516k / year
This reduces your effective LCOH by ~€0.40/kg on a 10MW plant.
💡 For Stefan: A 10MW PEM plant in Stockholm at 40% CF generates ~2.0 MW waste heat continuously. EcoDataCenter’s Falun facility has 3 MW cooling demand. HydrOS RECOVER covers 53% of that for free — saving €280k/year in chiller electricity. Plus 15,700 L/day recovered water worth €14k/year.
Plant Designer + TEA
Design your plant, in 30 seconds
Describe your hydrogen plant in plain English — our AI selects optimal components from 278 real products, then runs a full Techno-Economic Analysis instantly.
⚡
AI Mode — describe your plantAI Recommendations
Select any combination — specs auto-calculated from real manufacturer data
⚡ AI Selection:
Selected Components
LCOH
per kg H₂
Payback
years
Daily H₂
kg/day
Total CAPEX
project total
Annual Value
/year total
CO₂ Avoided
tonnes/year
CAPEX Breakdown
TOTAL
Annual Value Stack
TOTAL / YEAR
Waste heat: Chilling: DC cooling coverage: Water recovered:
Want a full feasibility study for your site?
HYNERTIA provides detailed TEA reports with procurement quotes, grid data, and financing options.
HydrOS is built for specific people with specific problems — not a generic tool for everyone.
E
Primary target · Module 1 + 2 + 3
Erik Lindqvist
CTO, EcoDataCenter Stockholm
Needs to justify hydrogen to the board. Using Excel to model economics — takes 2 weeks, full of assumptions. No software exists for his use case.
Gets a full feasibility report in 20 minutes. Optimizer runs automatically once system is live. Thermal recovery adds €322k/year he didn't know was possible.
Willingness to pay: €2–5k/month
A
International target · Module 2 + 3
Ahmed Al-Rashidi
Operations Director, DataVolt — NEOM
Running a 1.5GW hydrogen-powered data center in the desert. Electricity is cheap but water is scarce. Hydrogen system runs on a manual 8-hour schedule.
15-minute optimizer cuts hydrogen cost by 40%. Water recovery from fuel cell byproduct offsets 46% of cooling tower consumption — critical at NEOM.
Willingness to pay: €5–15k/month
L
Channel partner · Module 1
Lars Pettersson
Project Manager, Rambøll Energy
Produces hydrogen feasibility reports for clients. Each one takes 3 weeks and a team of engineers. Margins are thin and reports get outdated.
HydrOS generates a client-ready feasibility report in 1 hour. Lars's team focuses on interpretation — not data gathering. Can take on 5x more projects.
Willingness to pay: €500–2k/month
Plans
Choose the plan that fits your stage
From first feasibility check to full site optimisation. Start with AI recommendations, scale when you need to.
Year 1 · 2026
Feasibility SaaS
€500 / month
Engineering firms, project developers, consultants needing fast feasibility reports
Module 1 full access
Quick / Standard / Expert modes
AI Advisor (AI recommendation engine powered)
Exportable PDF reports
Unlimited feasibility scenarios
ENTSO-E / regional price data
Year 2 · 2027 ★ Core product
Operations SaaS
€2–5k / site / month
Data centers and industrial sites with live hydrogen systems needing real-time optimization
All Module 1 features
Module 2 live optimizer
Module 3 thermal recovery
15-minute ENTSO-E dispatch
Our CTO's IoT / SCADA integration
Monthly ROI reporting
AI Advisor with site context
Year 3 · 2028
OEM Licensing
Revenue share
Electrolyzer manufacturers (Nel, Enapter, ITM) bundling HydrOS with hardware sales
White-label platform
Custom branding
API access for hardware integration
Per-unit licensing fee
Joint go-to-market
Revenue share model
Customer ROI for a 10MW site paying €3k/month
€516k savings − €36k subscription = €480k/yr net gain
14× ROI
Not sure which plan fits your project?
Every hydrogen site is different. Our engineering team will guide you to the right starting point.
From your first question to a live optimised hydrogen plant. Clear steps, hands-on support at every stage.
01
Customer enters site parameters
Operator or engineer opens HydrOS web app. Chooses Quick (location only), Standard (dropdowns), or Expert (full inputs) mode. Takes 2–20 minutes depending on detail required.
Both — product design
02
Feasibility engine calculates LCOH and economics
Python backend runs the engineering model — electrolyzer efficiency, compression losses, degradation over project life, water treatment costs, storage sizing. Outputs LCOH (€/kg), payback, CAPEX estimate, and sensitivity bars.
Our CEO — domain knowledge
03
AI recommendation engine generates plain-English recommendation
Site parameters are injected into a structured prompt sent to the AI recommendation engine. Response is a 3–4 sentence advisory explaining the verdict, key risks, and next steps. This is what makes HydrOS feel like a consultant, not a calculator.
Our CTO — API integration
04
ENTSO-E price feed connects for live optimization
Once customer deploys, Our CTO's IoT layer connects to the ENTSO-E Transparency Platform API (or regional equivalent — Nord Pool, DEWA for UAE, etc.) via Python entsoe-py client. Live Day-Ahead prices refresh every 15 minutes.
Our CTO — IoT / API layer
05
Optimizer calculates produce / discharge / hold decision
Every 15 minutes: compare current spot price to dynamic thresholds (bottom 25% quantile = produce; above breakeven+15% = discharge). Check tank level against safety floor. Issue one of three commands via MQTT to the SCADA system.
Our CEO — optimization logic
06
Thermal recovery module monitors heat and water
Our CTO's sensor integration reads exhaust temperature from fuel cell / turbine, absorption chiller output, and cooling tower water level. Software optimizes chiller setpoints to maximize cooling coverage while maintaining system safety.
Our CTO — hardware integration
07
Monthly ROI dashboard + AI summary delivered to operator
Automated report: actual savings vs projected, decisions made, tank utilization, heat recovered, water offset. AI recommendation engine writes a 1-page executive summary. Sent to operator dashboard and optionally by email.
Both — product + AI layer
AI Recommendations
Why is your LCOH high? AI tells you exactly.
When your LCOH comes back at €6/kg, you need to know why — and what to change. Our AI recommendation engine pinpoints your biggest cost driver and tells you the exact lever to pull.
Use 1
Feasibility advisor
After Module 1 runs, Claude receives LCOH, payback, site parameters and writes a plain-English 3-sentence recommendation. Feels like talking to a hydrogen consultant.
Use 2
Decision explainer
Operator asks "why did the system hold at 07:00?" Claude reads the price data, tank level, and threshold logic, then answers in plain English. No manual log-reading required.
Use 3
Monthly ROI narrative
At month end, Claude receives all operational data and writes a 1-page executive summary: what the system did, what it saved, what to watch next month. Board-ready output.
Example API call — feasibility advisor
// Our CTO implements this — one fetch() call with site data injectedconst response = await fetch("https://api.anthropic.com/v1/messages", {
method: "POST",
body: JSON.stringify({
model: "claude-sonnet-4-20250514",
messages: [{
role: "user",
content: `You are a hydrogen system expert. Analyze this site:
Location: ${location} | LCOH: ${lcoh}€/kg
Electrolyzer: ${elecType} at ${mw}MW
Cooling load: ${cooling}MW | Payback: ${payback} years
Give a 3-sentence advisory: verdict, key risk, next step.`
}]
})
});
// Response appears in the "AI Advisor" box — live in the dashboard
Competitive landscape
Nobody does all three
Every competitor covers one piece. HydrOS is the first platform to integrate planning, optimization, and thermal recovery for small-to-mid scale data center hydrogen systems.
Company
Planning
Live Optimizer
Market Prices
Data Centers
Thermal Recovery
Scale
Price/yr
HydrOS ★
✓
✓
✓ ENTSO-E
✓ Primary
✓ Unique
1–50 MW
€6–60k
Siemens HPS
✓
✓
✗
✗
✗
>100 MW
€200k+
Honeywell Protonium
✓
✓
✗
✗
✗
Large
€100k+
Lavoit Valhall OS
✗
✓
~
✗
✗
Any
Unknown
HOMER Pro
✓
✗
✗
✗
✗
Micro
€2k
SOREN / Southern Lights
✓
✗
✗
✗
✗
Pre-feasibility
Unknown
Market opportunity
The market opportunity
Hydrogen-powered data centers are not a future concept. They are being built right now, and no software exists for them.
$400M+
Fuel cell data center market by 2030 (16% CAGR)
Microsoft, Google, Bloom Energy (>1GW ordered), ECL, DataVolt NEOM — all building hydrogen-powered data centers. Zero software exists for this use case.
$8.85B
Sweden data center market by 2030 (17.6% CAGR)
EcoDataCenter 150MW Östersund campus, AtNorth 200MW Långsele, SWE02 30MW Stockholm — all in our backyard. First customers within 30 minutes of KTH.
1.5GW
DataVolt NEOM — hydrogen-powered data center
$5B investment. Operational 2028. Powered by NEOM Green Hydrogen Plant (4GW solar+wind). This is the single biggest potential customer for Module 2 + 3 globally.
€32,910
Actual net profit — SE3 real data, Jan–Mar 2026
Not projected. Not simulated. Backtested on real ENTSO-E Day-Ahead prices for SE3 Stockholm, 10MW site, 70 days. Annualised: €176k. This is our proof of concept.
Roadmap
Where we are, where we're going
Now — Apr 2026
Build MVP
Module 1 Streamlit app
Python optimizer clean rewrite
AI recommendation engine integration
Deploy to Streamlit Cloud
Apply KTH Innovation + YC
May–Jun 2026
First pilots
Follow up Mikael (EcoDataCenter)
Follow up Stefan (Conapto)
Module 2 live optimizer
KTH Innovation Launch program
First LOI or paid pilot
Q3 2026
Product + funding
Module 3 thermal recovery
Our CTO IoT integration layer
First paying customer
YC Demo Day or EIT funding
File provisional patents
2027–2028
Scale
Middle East expansion (NEOM)
India market entry
OEM licensing conversations
Hydrogen valley routing layer
Series A fundraising
The team
Built by engineers who know energy
We have spent years inside real energy systems — gas turbines, industrial automation, AI at scale. HydrOS is built on that experience, not theory.
Jyothish Kiran
Co-founder & CEO
6 years commissioning GE TM2500 gas turbines across the Middle East. MSc Sustainable Energy Engineering, KTH Stockholm. Understands hydrogen systems from the hardware up.
GE Gas TurbinesKTH StockholmEnergy Systems
Nelson Sierra
Co-founder & CTO
10+ years building industrial automation, IoT, and AI systems for energy facilities. MSc Sustainable Energy Engineering, KTH Stockholm. Turns complex energy data into real-time decisions.
Industrial IoTAI SystemsKTH Stockholm
Want to work with us?
Energy engineers, hydrogen specialists, early-stage investors — let’s talk.
