Open protocol for decentralized data markets and exchange.

Detailed description

Computable Labs is a new kind of decentralized network that crowdsources data and makes it available for learning agents, whether human or autonomous.

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.


Data Market Protocol
The first Computable smart contracts will implement a permissionless protocol to tokenize data assets for data market and exchange applications. Anyone will be able to easily create and operate a data market with its own custom non-fungible token. Follow the Computable GitHub repository and wiki for the latest developments and plans. The first of several formal technical publications will release soon.

AI Smart Contracts
New open source software will forge technological compatibility between blockchains and machine learning computations. The Data Market Protocol will then extend to handle model weights and other parameter data to enable creation and execution of AI smart contracts. 

Trustless Privacy Network
A trustless privacy network will leverage Data Market Protocol and AI Smart Contract capabilities to enable privacy-preserving computations and secure data transactions. Neither buyers nor sellers will need to expose their raw data assets to monetize them, fully unlocking the commercial opportunity of data markets.


Data markets and exchange
Tokenize data assets. Monetize data as a marketplace seller or by joining a data exchange.

Data commons and cooperatives
Collaborative data projects like ImageNet unlocked unprecedented progress in AI for visual tasks. Imagine the inflection in other fields and disciplines if such open data cooperatives were structurally encouraged and incentivized.

Authorship and citations
Reference and link datasets used in your research with fair attribution to contributors. 

Data on demand
Access and incentivize a workforce to crowdsource and curate data for your applications, following your specs and requirements.

Programmatic access to continuously updated datasets to power your applications.

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Additional links

  • Token details

    • Token symbol ? Token symbol — a shorten token name. It is used during an ICO and after the coin listing at the cryptocurrency exchanges. : COMPUTABLE
    • Fundrasing target ? Fundraising target — the maximum amount of funds to be raised during an ICO. When it is reached, the developers stop selling the tokens because they do not need to raise more money for the project development. : NA
    • Token type ? Token type — a platform for a startup launch that influences the stability of blockchain operation, the speed of transactions and the fees. :Ethereum (ERC20)
    • Soft cap ? Soft cap — the minimum amount of funds to be raised for the project development. Sometimes when the soft cap has not been reached, the money is returned to the participants. : NA
    • Role of token ? Role of Token — type of token depending on the opportunities it offers to its owner. Utility tokens give their owners a right to use the project services, security tokens are aimed at bringing profit, and currency tokens are a money substitute. :Utility token
    • Total supply ? Total supply — a total amount of tokens that will be released by the developers. :NA
    • Escrow agent ? Escrow agent — a qualified agent who has the right of signature in a multisig wallet. An escrow agent participates in an ICO, monitors the financial operations of the developers and confirms their fairness. :No
    • Tokens for sale ? Tokens for sale — the number of tokens offered to the participants of an ICO. :NA
    • Whitelist ? Whitelist — a list of participants, who get an opportunity to buy tokens. To be whitelisted, you need to register on time because the number of participants and the registration period are usually limited. :Without whitelist
    • Additional emission ? Additional emission — an additional release of tokens. It can be done once after the crowd sale or on an ongoing basis. In the projects with a limited emission there is no additional emission. :No
    • Exchange listing ? Exchange listing — an assumed date when the token will be listed at a cryptocurrency exchange. The developers usually indicate it in a roadmap and a white paper. :NA
    • Accepting currencies ? Accepting currencies — cryptocurrencies and fiat currencies that can be used for buying the project tokens. :ETH,
    • Can't participate ? Can't participate — the countries where it is prohibited to buy tokens. These can be countries where ICOs are prohibited altogether, or countries that have the requirements that a particular project does not meet. :No
    • Know Your Customer (KYC) ? Know Your Customer — a verification procedure for ICO participants, during which the developers can ask for personal data, a photo and a scanned copy of a passport of a potential investor. :No
    Get details
  • Token and Funds Distribution

    Token distribution date


    Unsold tokens


Sale schedule

Round Token Price Bonus Min / Max Purchase Soft Cap Hard Cap
Public sale — Soon
Start Soon
NA No - Uncapped Uncapped
  • Team

    • Roger Chen photo
      Roger Chen
      Co-Founder & CEO
    • Bharath Ramsundar photo
      Bharath Ramsundar
      Co-Founder & CTO
    • Alok Vasudev photo
      Alok Vasudev
      Co-Founder & Director
    • Rob Robbins photo
      Rob Robbins
      Senior Engineer
    • Paco Nathan photo
      Paco Nathan
    • Caroline Sofiatti photo
      Caroline Sofiatti
      Data & Machine Learning
    • Artur Gorokh photo
      Artur Gorokh
      Research Fellow
  • Advisors

    • Jordan Cooper
    • Robert Stewart
    • Kris Gale
    • Aaron Schildkrout


  • Phase I

    Develop and launch the Data Markets Protocol. Incentivize communities to form around crowdsourcing and curating useful and valuable data sets.

  • Phase II

    Create a Data Terminal protocol so that the data collected into Data Registries can be securely shipped to users and buyers. This enables active data markets in the near term, but these data markets will include data leakage since raw data is transferred to buyers. Early implementation will focus on encrypted end-to-end data transfer from local clients. Local clients as defined here can mean local computers but also personal storage services like Google Drive, Dropbox, AWS and more.

  • Phase III

    Build on the ability to securely ship data from Phase II to realize privacy properties through secure blockchain-coordinated distributed computing. Achieve privacy-preserving computation so that use cases are unlocked for highly sensitive data where data leakage is intolerable.