The company has raised fresh capital from Blackfinch Ventures, Italian Angels for Growth, and Blockchain Valley Ventures to fuel product development and commercial growth.
"strength and calibre"
BV
Blockchain Valley Ventures
Venture CapitalBlockchain Valley Ventures is a Swiss venture capital firm and corporate finance advisor with offices in Zug, Zurich, and Singapore. The firm invests in early-stage teams utilising blockchain technology across seed, Series A, and Series B rounds.
Portfolio
3
companies
By category
- ConsumerTech£2.0M
- Uncategorised£1.7M
By location
- Holborn£2.0M
- London£1.7M
Portfolio companies
Coadjute
Coadjute connects property market participants through a secure data network.
Keyless
Keyless delivers privacy-preserving biometric authentication technology for global organisations.
Measure Protocol
Measure Protocol offers a platform to access consumer behavioural data.
Team
PG
Paolo Guida
Head of Investment
Recent investments
The US venture firm has backed the blockchain property network to accelerate its market rollout.
£2.0M
The Series A round was led by Dynata and Blockchain Valley Ventures to support audience growth and product development.
"Dynata is committed to developing and investing in the next wave of technologies, such as blockchain, that have the potential to transform the future of insights, advertising and marketing. This investment is in line with our long-standing, member-centric approach to bringing transparency and fair value exchange with members to the forefront, while ensuring the quality and security of data for our clients."
£1.7M
Keyless secures £1.7m in pre-seed funding led by Gumi Cryptos Capital to advance biometric security.
Gumi Cryptos Capital led the pre-seed round, which included participation from Xpring, LuneX and Blockchain Valley Ventures.
"Due to their complexity, passwords have become the weakest means of authentication. Not only are billions compromised in breaches every year – hackers are also figuring out how to bypass two-factor authentication systems that rely in-part on something the user knows- like passwords and recovery phrases,"