Realise logo — European cat markRealiseEarly access →
[ Realise // v0.1 — Q3 2026 pilot ]

Your prototype works.
Your scale-up
shouldn't fail.

An AI co-pilot for deeptech energy founders.
Hydrogen · Batteries · Electrolyzers

Request early access →See how it works

[ Active failure modes ]

09 signals
  • Supply chain blindspot
  • 18 months lost
  • €400K burned
  • TRL 4 → nowhere
  • Certification too late
  • Material delay
  • Design rework
  • Prototype works
  • Scale-up fails
[ The valley of death ]

The physics works.
The system breaks.

01
· Supply chain

Critical materials — nickel, iridium, PFSA membranes — have 8-month lead times. Nobody told R&D.

02
· Manufacturing

Your process works at 10 units. At 1,000, the tolerances collapse.

03
· Regulation

ISO 22734. ATEX. DEKRA certification. Discovered after the design was frozen.

[ The solution ]

Predict before you build.

18mo

average time lost in the TRL valley of death.
Realise gives it back.

[ How it maps ]

From Condition 1
to a Condition Set.

One known state in. A trained inference graph in the middle. A spectrum of scale-up scenarios out.

—
—

Condition 1

What you have today

  • MaterialsNi · Ir · PFSA
  • ProcessBench, 10 units
  • GeometryLab cell
  • TargetsTRL 4 perf.

Inference graph

Hybrid AI co-pilot

EncoderPhysics-informedConstraintDecoder
d₀=12d₁=64d₂=64dₙ=8Layer 1 · unit 1 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 1 · unit 2 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 1 · unit 3 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 2 · unit 1 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 2 · unit 2 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 2 · unit 3 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 3 · unit 1 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 3 · unit 2 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 3 · unit 3 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 4 · unit 1 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 4 · unit 2 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 4 · unit 3 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 5 · unit 1 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 5 · unit 2 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 5 · unit 3 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 6 · unit 1 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 6 · unit 2 — activation σ(Wx + b) routes the encoded condition through the inference graph.Layer 6 · unit 3 — activation σ(Wx + b) routes the encoded condition through the inference graph.ℒ
activationphysics prior weight |w|∇ℒ → θ
  • Supply chain graph
  • Cost & yield models
  • Manufacturing physics
  • Lead-time inference

Condition set

Scenarios you can act on

  • Supply path

    EU-only · 6mo lead

  • Yield

    82% · ±3%

  • CapEx

    €1.4M est.

01 · Pilot

From bench to first production batch.

At 1k units the bottleneck is iridium availability and MEA assembly tolerance. Realise maps your bench process to validated EU suppliers and flags a 6-month lead time on Ir before you commit.

Time saved

8 mo

Safety & privacy

Realise surfaces scale-up scenarios, timelines, and risk flags based on your project inputs. It does not train on your proprietary data, expose underlying model weights, or share your information with third parties. All inferences are scoped to your session and discarded after the Condition Set is generated.

Analytics consent

Allow anonymous usage analytics (scenario views, interaction counts) to help us improve the copilot. No inputs, outputs, or identifying data are collected.

Status: Loading… ·

[ Who it's for ]

Built for the people building the energy transition.

Hydrogen electrolyzers

AEM · PEM · SOEC

Battery systems

Li-ion · Solid-state · Flow

Electrochemical components

Fuel cells · MEA · Bipolar plates

[ The founder ]
“I watched two breakthrough technologies die at manufacturing scale. Not because the science failed. Because nobody saw the supply chain coming.”

Ronit Kumar Panda

PhD Electrochemical Engineering · UGA 2024

Gen-hy · CEA Liten · Genvia · 31 European partners coordinated

See how it works →

[ Early access ]

Your next prototype
deserves better.

Join the waitlist. 3 pilot slots. Q3 2026.

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