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Computable Labs is leveraging these tailwinds to develop a new kind of decentralized network that crowdsources data and makes it available for learning agents, whether human or autonomous. Our protocol token design economically incentivizes one group of participants to supply data to the network and another group to curate data for relevance and quality. Network data will be organized so that everything can be queried, transacted, and transmitted within a single coordination layer. In particular, all data on the network will be algorithmically accessible, enabling a future in which computational agents can autonomously request and procure data required to meet their objectives. Without such universal access, data would remain disparate and hard to use even if openly available on the web. The network becomes increasingly valuable as data accrues on it over time, which also magnifies the importance of the network’s ability to query across all that data in a unified way. If the network is successful in better organizing the world’s data, we can unleash public data resources that will be more discoverable, usable, and ultimately more valuable on-network than off-network.
In the near term, network use cases include data markets, data on demand and as a service, and data cooperatives for scientific disciplines e.g. genomics. The long-term ambition of this project is to encode the physical world into structured data so intelligent agents can learn and simulate any kind of real-world complex system from large cities to human biology.
Verified 0%
Attention. There is a risk that unverified members are not actually members of the team
Strength and Opportunities:
Computable counts with an incredibly strong investor base. Among the investors are well known blockchain venture capital firms such as Pantera and Blockchain Capital. In addition the team is strong in terms of educational and professional background. Using the blockchain technology for the purpose of Computable Labs makes a lot of sense. First the blockchain helps to build a data market place without the need of a trusted third party. Second, the tokens provide a strong incentive for entities to contribute data resources.
Weaknesses and Threats:
Computable Labs is not the first blockchain project that is working on making large data sets available to a broader audience so that machine learning and other data analytics operations can be performed. It is unclear which approach and blockchain platform will dominate this field in the future. Several of the founders have a VC background, which helped them raise capital from top tier cryptocurrency investors. However, it seems that on other aspects, such as community building and white paper development, Computational Labs is behind other blockchain projects. The Telegram Group seems not to be very active nor are there other channels that point towards an engaged community.
Verdict:
Computable Labs has raised money from private investors which will give the team the resources to hire qualified engineers to further specify and develop the platform. The previous experience and the network of the team hint that the execution of the project will be effective despite the early stage the project is currently in. Success will depend on adoption amongst developers and the quality of the data that will be contributed to the network. Computable Labs is definitely one of the projects early stage ICO investors should follow closely.
