Tokenization in Practice : Part II

As a continuation from the previous article, this article highlights that while some tokenisation pilots...
Picture of Gaya Chandrasekaran
Gaya Chandrasekaran

London-based contemporary artist. Creating emotive landscapes of introspection.

Why do some tokenization pilots succeed whilst others stall?

Lessons from JPMorgan, Siemens & UBS vs. IBM x Maersk Shipping Tokenization Pilots

As a continuation from the previous article, this article highlights that while some tokenization pilots undertaken in the industry seem to be maturing into viable platforms or projects, some others have quietly wound down.

For the successful pilots, we are using the examples from the previous article of JP Morgan, Siemens and UBS. For the ones that wound down, we are looking at TradeLens, the shipping tokenization project of IBM and Maersk.

So what are the key lessons learnt from these examples? What are some of the key success factors and common pitfalls to bear in mind?

Let’s first examine what has worked in successful institutional pilots.

JPMorgan Kinexys — Building Core Infrastructure

JPMorgan Kinexys (Digital Assets platform and Tokenized Collateral Network) has already processed billions in tokenized collateral settlements. The bank launched JPM Coin for institutional payments and partnered with BlackRock and Barclays for live repo transactions. Why it works:

Siemens — Disintermediated Bond Issuance

In 2023, Siemens issued a €60 million digital bond on the Polygon blockchain, bypassing traditional intermediaries. Why it works:

UBS — Wealth Use Case Through Tokenization

UBS launched UBS Tokenize to give its clients fractional access to illiquid assets like real estate and private equity. It participated in the MAS Project Guardian and launched tokenized funds using smart contracts. Why it works:

When Tokenization Stalls: The IBM and Maersk Case

One of the most notable failures in the enterprise blockchain/tokenization space was IBM and Maersk’s TradeLens.

IBM + Maersk: Shipping Tokenization via TradeLens

TradeLens was a global shipping and supply chain platform using blockchain (Hyperledger Fabric) to digitize and track shipping documents and logistics data.

Why it didn’t work:

TradeLens was shut down in 2022, despite five years of development. And technology was not the culprit this time.

Key Patterns: Why Some Succeed, Others Don’t

From these examples, some patterns emerge:

Success Drivers:

Common Pitfalls:

The Takeaway: From Hype to Scalable Value Propositions

Conclusion

References

Like the Artwork?

I’m an abstract textured artist known for my unique palette knife technique. Visit my website to explore and purchase the artwork: Gaya’s Art , and follow my Instagram for similar works: Instagram.

Artist Bio

Gaya Chandrasekaran is a London-based contemporary artist. Born in the coastal city of Chennai, India, her artistic practice is deeply influenced by the vivid colors and rich cultural heritage of her upbringing. Working primarily with acrylics, palette knives, and gilded gold leaf, she creates layered, emotive landscapes that invite quiet introspection and a sense of transcendence.

Gaya has trained in India and at the Slade School of Fine Art in London. Her artworks have been exhibited widely across the UK, US and Europe, with features in prominent art publications such as Contemporary Art Curator, Artist Talk, and ArtistCloseUp magazines.

Her paintings have been reviewed by Tabish Khan, a renowned London art critic, and are held in private collections across the US, UK, Spain, Italy, Brazil, and India — including a permanent display at the London Business School.

Through her abstract landscapes, Gaya explores themes of shared human experience — the search for meaning (Quest), the inner voice of contemplation (Soliloquy), cycles of transformation (Rebirth), and the pursuit of spiritual growth (Nirvana). Her paintings serve as a visual meditation on nature and the profound emotional terrain of life itself.

Originally published at https://www.linkedin.com.

Tokenisation at Scale

Institutional Architecture as the Decisive Factor

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