Lambda is a fast, safe, and scalable blockchain infrastructure project, which provides decentralized applications (DAPPs) data storage capabilities.

Project stage

Beta version

Detailed description

Lambda is a fast, safe, and scalable blockchain infrastructure project, which provides decentralized applications (DAPPs) data storage capabilities with unlimited scalability and fulfills services such as multi-chain data co-storage, cross-chain data management, data privacy protection, provable data possession (PDP), and distributed intelligent computing through logic decoupling and independent implementation of Lambda Chain and Lambda DB. In addition, as a blockchain infrastructure service, with the use of Sharding technology, Lambda Chain provides the capability of processing millions of requests per second (RPS), which increases with the expansion of the system scale; with the use the sub-chain technology, it provides future-oriented technical service capabilities with unlimited scalability.


The development of Internet applications requires a database system Nowadays, Internet applications have penetrated into everyone’s life but normal users seldom sense the computer science behind. In fact, Internet relies on the development of computer technologies since its emergence, especially several key technologies such as HyperText Transfer Protocol (HTTP), Web servers, and database software.

DAPPs on the blockchain require a decentralized data storage plan

Current blockchain storage plan is not a good choice for DAPP.

The fast development of DAPPs requires high-speed data infrastructures with high availability.

The IoT in which everything is inter-connected requires a database with a low cost for storage of magnanimous data


Lambda project can provide Cryptocurrency incentives to reward miners who offer computing and storage capabilities, and connect to a great number of weak computing power equipment to construct a distributed data storage and computing network with a low cost. Based on this architecture, Lambda platform can perform storage, computing, and transactions on data with low unit value and high gross value. In particular, data on this platform are in time series, whose value reduces by time. Therefore, the data owner is allowed to set storage duration corresponding to different prices through smart contracts.

Data trust - both individual consumers and enterprise consumers require trusty data cloud storage.
In the past decade, cloud computing services flourished, with AWS’s annual income exceeding USD ten billion and SaaS becoming the powerful drive for American economic development. But in most times especially in China where a mutual trust has not been established successfully yet, many public cloud services have been used for private deployment and internal uses because many enterprise customers were afraid that the SaaS enterprise background may result in data leakage. In terms of consumers, with the development of precision advertisement technology, tagging individual customers has become a primary technique of precision marketing, the information of which is usually obtained from transactions in the black market. Individual consumers’ express data, e-commerce data, even social data are monetized by suppliers through various means. Consequently, as the owners of data, rather
than benefiting from society and technology development, individual consumers even have to bear the harassment of all kinds of crank calls.

Depending on the eternally online Lambda data platform, data-oriented smart contracts can be signed among enterprises, individual consumers, and enterprise consumers to specify that data are saved in blockchains after being collected by Lambda Agent and desensitized during the transmission. As a result, enterprises are accessible to the calculated data on the Lambda platform through APIs while individual consumers can obtain Tokens.

For AI, data push forward all algorithms.
AI technology has already impacted every aspect of our economy system, including advertisement, financial, health care, retail, automatic drive, energy, transport, and logistics industries. Till 2025, software and services related to AI technology would arrive at the scale of USD 60 billion covering 29 industries and more than 150 scenarios. The advancement of AI also requires the support of data, otherwise, its modelling will lose accuracy, which will backfire on the AI model. Presently, leading AI companies including Google and Facebook, all boast of a large number of data resources.

Primitive data and study result transactions can be conducted through Lambda between individuals and individuals, individuals and organizations, and enterprises and enterprises after the development is obtained on the platform, turning data to information, information to knowledge, and knowledge to wisdom of the human kind.


Trusted and secure data storage

Data development and sharing is the driving force for the development of the data industry and the oil and power source of the future world. Nowadays, the data is stored in a unilateral private data center, where the model obtained and analyzed by the demand side has been proved to have big drawbacks, lack of transactional transparency and without guaranteed data ownership and control right.Our ultimate idea is to promote data sharing and achieve common benefit by the distinct QoS storage of all types of data that can be validated publicly and validated anonymously through the Lambda that can be notarized and trusted

Public data access and transaction

At present, many data are owned by all human beings, thereby needing a data infrastructure to enable such shared data access and transaction as medical, education, transportation, energy, agriculture, weather, hydrology, infrastructure, scientific research, public safety data etc.These public data, which are common to all humans, can be distributed, verifiable, stored, analyzed, traded, and used on the Lambda platform.

Access control and protection of personal privacy data

The advent of the era of big data brings about tremendous challenges to the ownership of personal privacy data. Usually, data collectors have unlimited right to interpret and use data. With the implementation of GDPR and other bills, the contradiction between data privacy among individuals, enterprises and governments is becoming more acute. Lambda provides reliable, secure and privacy-protected data storage and access capability by means of differential privacy, data encryption and signing, identity authentication and access control, and encrypted transmission.

DApp and Blockchain

So far, many decentralized application projects face the risk of failing to implement, one of the main causes being the shortage of data storage infrastructures.In fact, the essence of an application, centralized or decentralized, is the implementation of business logic, interface display, and user interaction around data access. Therefore, data infrastructure is the core issue of blockchain and decentralized applications. Currently, blockchain ledgers are not suitable for business data storage, IPFS cannot store formatted program access data.While Lambda project provides infinitely scalable decentralized data collection, storage, and access capabilities through elegant chain library decoupling, isomorphic function subchain design, and publicly verifiable data ownership proofs.

IoT data storage

The IoT data are massive, time-series, and simple structured, whose generation process can ensure the authenticity of the data. The IoT data occupy a large amount of storage space, and the value of individual data is small.It needs a lasting work and substantial storage and computing resources to extract value from the data.Lambda's digital currency can measure the value of small data, motivating people to share and contribute computing storage resources to obtain token incentives.Lambda provides a system of data collection, data transmission, data storage, data computing and data transaction in the field of IoT.With this system, data collected by sensors such as satellite remote sensing data, hydrological data and atmospheric data can be calculated in different dimensions and sold to anyone and institutions that need it through smart contracts.

Artificial intelligence data

In the field of artificial intelligence, the current consensus is that the role of data is many times larger than that of the model.However, the acquisition of metadata is a difficult and expensive issue.The shortage of data hinders the development of the artificial intelligence industry. At present, because of lack of trust, data abuse and other reasons, individuals are unwilling to contribute data, and business organizations that have need obtain data through unconventional means.Lambda will eventually form an integrated network of huge data storage space, and data owners can sell their data through smart contracts on Lambda's trading platform.In particular, the value of time-series data lies in the insights after the analysis.Data owners do not need to sell the original data, but only sell the analysis results of the data, and even the insights on the results of the data analysis.

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  • 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. : LAMB
    • 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. : 5,000,000 USD
    • 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. :3,000,000 USD
    • 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. :10,000,000,000 LAMB
    • 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. :500,000,000 LAMB
    • 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. :Whitelist Closed
    • 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. :China, Singapore, USA,
    • 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. :Yes
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  • Token and Funds Distribution

    Token distribution date


    Unsold tokens

      • Token Distribution

    Sale schedule

    No information
    • Team

      • He Xiaoyang photo
        He Xiaoyang
      • Li Monan photo
        Li Monan
      • He Bingqing photo
        He Bingqing
      • Gao Haiqiang photo
        Gao Haiqiang
      • Zhao Haijun photo
        Zhao Haijun
    • Advisors

      • Guo Hongqiang
      • Jia Tian
      • Sun Zhongying
      • Liu Chunhua
      • Lucien Chen
      • Wang Tao
      • Cheng Yuan
      • BMAN Lee


    • 2017 Q4
      Phase I Lambda Technological Demonstration and Research
      • To make deep research on the technical framework of each public blockchain and protocol layer, and the core team has read a large number of codes and papers (see appendix)
      • To demonstrate the computing and storage mock-up for massive data under Permissionless environment
      • To demonstrate the combination of OAS business model and Token economy
    • 2018 Q1
      Phase II Lambda Technological Demonstration and Research
      • To choose the appropriate blockchain consensus mechanism and determine the high-speed chain design using the Sharding scheme as well as the HoneyBadgerBFT consensus algorithm for subchains
      • To determine multi-subchain design for keeping accounts respectively with Request and Reponse.
      • To complete structural design for the separation of chains from libraries
      • To determine provable data possession (PDP) and the access control and encryption mechanism for ABE
      • To determine the technical route and the technical scheme
      • To complete technical white paper
    • 2018 Q3
      Phase III Lambda Core Component Development
      • To carry out evaluation test on the performance of libp2p and devp2p and modify codes
      • To implement the underlying chunk storage system
      • To implement the closed-source development of Lambda Chain
      • To carry out technical verification on Lambda FS
      • To carry out community development on Lambda FS and open source in real time
      • To implement the Lambda database based on Lambda FS
      • To develop Lambda Agent based on hotspot languages to facilitate integration with the existing applications.
    • 2018 Q4
      Phase IV Lambda Chain Test Network Development
      • P2P network development is used to synchronize blockchain ledgers and store data synchronously. Development of virtual machine and development and verification of built-in contracts
      • API interface, RPC interface, command line and development of peripheral tools
      • Open source Lambda Chain
    • 2019 Q1
      Phase V Test Network Construction and Development of Lambda-based Example
      • To construct a large-scale test network based on the community for all-round testing.
      • To issue LAMBs for encouraging early community enthusiasts to develop Lambda-based application examples
      • To carry out rewarding test and amendment on security and service vulnerability on application examples based on test networks.
    • 2019 Q2
      Phase VI Expansion of other data service capabilities and data transactions
      • It will be launched by the Foundation for encouraging more database types and service capabilities to access Lambda ecology
      • To explore data transaction capability based on Lambda ecolog