Lagrange
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Lagrange

https://www.lagrange.dev/
Last activity: 11.05.2024
Probably Closed
Categories: BlockchainData
Hyper-Parallel ZK Coprocessing — Verifiably compute over blockchain data at a massive scale with Lagrange's ZK Coprocessor and unlock new frontiers in data-intensive and cross-chain applications.
Mentions
5
Total raised: $13.2M

Funding Rounds 1

DateSeriesAmountInvestors
09.05.2024Seed$13.2M-

Mentions in press and media 5

DateTitleDescription
11.05.2024Lagrange Labs Secures $13.2M in Seed Funding to Transform Blockchain ComputationLagrange Labs, a pioneering company based in New York City, recently announced a significant milestone by raising $13.2 million in Seed funding. This funding round, led by Founders Fund and joined by Archetype Ventures, 1kx, Maven11, Fenbus...
09.05.2024Lagrange Labs Raises $13.2M in Seed FundingLagrange Labs, a NYC-based company which specialises in scaling blockchain computation, raised $13.2M in Seed funding. The round was led by Founders Fund, with participation from Archetype Ventures, 1kx, Maven11, Fenbushi Capital, Volt Capi...
08.05.2024Lagrange raises $13M to build blockchain-based cryptographic ‘big data’-scale computation Your vote of support is important to us and it helps us keep the content FREE. One click below supports our mi...Lagrange Labs, a startup building the blockchain-based cryptography protocol Lagrange, today announced it raised $13.2 million in seed funding to progress its vision of scaling up verifiable computation over blockchain at “big data” scale. ...
-Lagrange Labs: Blockchain Computation Scaling Company Secures $13.2 MillionBlockchain computation scaling company Lagrange Labs announced a $13.2 million seed funding round led by Founders Fund. The round, which included Archetype Ventures, 1kx, Maven11, Fenbushi Capital, Volt Capital, CMT Digital, Mantle Ecosyste...
-Lagrange Labs“Hyper-Parallel ZK Coprocessing — Verifiably compute over blockchain data at a massive scale with Lagrange's ZK Coprocessor and unlock new frontiers in data-intensive and cross-chain applications.”

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