Erthum — Decentralized intelligence, proven on real machines

Proof points — live fleet

Four asset classes. Four real scores. No two condition stories the same.

Energy storage

812

Fluence Gridstack — Yorkshire Grid BESS-UK-021

Industrial robotic welding arm on a production line

Industrial robotics

798

ABB IRB 6700 Welding Cell — Coventry Line 3

Data center cooling and server infrastructure

Data infrastructure

741

Equinix LD8 — Primary Cooling Unit

Maritime

588

MV Celtic Spirit — Auxiliary Power Unit

Sensor and circuit infrastructure close-up

Asset condition begins at the sensor, not the spreadsheet

Our thesis

Trust shouldn't be a claim. It should be a number you can check.

Most platforms describe sustainability and asset integrity in language — certifications, pledges, dashboards built on estimates. Erthum starts from the machine itself: what it's actually doing, what's actually been done to maintain it, and what actually happened when something went wrong.

Cognisphere is where that thesis becomes a product: a single, auditable condition score, recalculated continuously from sensor telemetry, maintenance records, and verified outcomes — not engineering estimates dressed up as risk models.

Built from real signal

Sensor telemetry, CMMS work orders, and verified mission outcomes — not self-reported condition.

Scored, not described

A single PACS score and grade band per asset, recomputed continuously, with every component traceable.

Anchored, not assumed

Every score snapshot is hashed and anchored on-chain — the record can't be quietly rewritten later.

From one asset to the network

Beyond one asset

A single verified asset is the proof. Many of them, trading on the same standard, is the point.

Once condition, value, and coverage are real for one machine, the same record becomes the basis for trust between parties who've never met — a buyer, a lender, an insurer, a regulator, all looking at the same verifiable history instead of four different claims about it. That's the infrastructure layer Erthum is building toward: commerce that doesn't require trusting the seller, because the asset already speaks for itself.

Tokenized real-world assets are projected to reach $9.4 trillion by 2030, up from roughly $0.6 trillion today — a 53% CAGR. (Ripple / Boston Consulting Group, 2025)

4 classes

Asset types scored today — energy, robotics, infrastructure, maritime

1 record

One auditable score per asset, shared across every counterparty

0 estimates

Every input traced to sensor data, maintenance records, or verified outcomes

24/7

Continuous rescoring — condition is never more stale than the last reading

Decentralized intelligence,
proven on real machines.

Four asset classes. Four real scores. No two condition stories the same.

One asset, followed all the way to what it's actually worth — and what protects it.

Trust shouldn't be a claim. It should be a number you can check.

Built from real signal

Scored, not described

Anchored, not assumed

A single verified asset is the proof. Many of them, trading on the same standard, is the point.

Bring us one asset.
We'll show you what it's actually worth.

Four asset classes. Four real scores. No two condition stories the same.

One asset, followed all the way to what it's actually worth — and what protects it.

Trust shouldn't be a claim. It should be a number you can check.

Built from real signal

Scored, not described

Anchored, not assumed

A single verified asset is the proof. Many of them, trading on the same standard, is the point.

Bring us one asset.We'll show you what it's actually worth.

Bring us one asset.
We'll show you what it's actually worth.