DAG (Directed Acyclic Graph) Development Company

Being a prominent Directed Acyclic Graph(DAG) development company, we deliver exceptional DAG solutions with enhanced scalability and secure transactions.


What is DAG?

Directed Acyclic Graph (DAG) uses topographic sequence for implemented graphical structure. The queue can go backwards than before. DAG can be used for data processing, scheduling, shortcut issues and data compression related issues. The queue is maintained by the involvement of transactions, thus avoiding the mining process. There are only transactions in the seamless design of the DAG, eliminating the need for miners to create new blocks.

In addition, DAG protects users from specifying data units from previous transactions, thus increasing the number of transactions. The consensus algorithm establishes the total sequence in the DAG.


No double cost

Transaction verification is determined by the transactions behind it. The DAG’s transaction order was expanded by several transactions without proof of employment (PoW). Any attempt to double the cost will be immediately thwarted by the system.

Network width

The DAG network connects existing transactions with new ones. The DAG algorithm controls the width of the problem network. When transactions are verified, they will be linked to new transactions on the DAG network.

Faster transactions

DAG seamlessly makes transactions directly over the network, which makes the whole process faster than PoW & PoS. Network width is kept within certain limits to maintain rapid transaction verification.


DAG’s arrival has driven a platform with high performance with low transaction fees. Users can send and receive micro and nano-payments without problems related to scaling and transaction speed.


Conditional payment

Set conditional payments that do not allow the DAG payer to make fiat currency transactions. Conditions are set by the payer. The payer receives the money when these conditions are fully met or refunded to the payer.

Sovereign identity

The user ID is stored securely in the wallet. The identity depends on the user. Users can disclose their wallet identity to a service provider, for example by participating in an ICO and using their KYC & AML compatible currency.


Users can pay in absolute privacy on a currency such as undetectable currency. Transactions do not appear in the public database as they are sent peer-to-peer (P2B). The built-in TOR switch enables direct transfer from wallet to wallet and enhances privacy.

Secure transactions

DAG does not have a central agency that pays and processes. Conversely, when transactions between users are initiated, a cryptographic connection is created between each other. As transactions grow, users begin to add Byteball-like links to one another.

Application cases

ICO difference

When ICOs run on a blockchain, the cryptocurrency box in the DAG may go without security tokens. KYC is configured with real name verification with statistics displayed in real-time. Users sell BTC, ETH or bytes.

Peer-to-peer insurance

User insurance will protect you from regular adverse events. The insurance is engraved in a sensible contract, which will be opened by the insurer when the event involved occurs. The user can sell the insurance for a profit on the P2P transaction.

Bear the prophecy

Users can make money by predicting future events. It can bet on a football match or any other forecast market. The prediction is engraved in a smart contract and depending on the outcome, the user or co-worker will select a smart contract.

Email or chat business

The payer can send cryptocurrency by email or chat. The recipient can click on the link received by mail or chat to complete the transaction. However, if the recipient does not have a DAG wallet, the connection prompts them to install a wallet on Android or iOS.

FAQ(Frequently Asked Question)

A directed acyclic diagram (or DAG), is a digraph without cycles. A DAG is an example of this: Theorem Each finite DAG has at most one source and at least one sink. In fact, any vertex v can be used to create a path between v and some sink.

A directed acyclic diagram (DAG) in computer science and mathematics is. It is a graph that is oriented and has no cycles connecting the edges. It is impossible to traverse the whole graph beginning at one edge. Only one direction is possible for the edges of the directed graph.

What are Directed Acyclic Graphics? DAGs can be used to represent many types of flows including data processing flows. DAGs can be used to organize large-scale processing flows and their associated order.

DAGs are used to encode researchers’ a priori assumptions regarding the relationships between and between variables in causal structures. DAGs include linking nodes (variables), directed edges (arrows), and their paths.

DAG is a completely new type of data structure. DAG is a linked graph data structure, where the links are unidirectional. Acyclic means that nodes cannot refer to each other and therefore cannot loop. It is a flow chart that allows all information to flow in one direction.

A tree is a unique type of graph that does not have a cycle, which is why it is called DAG (Directed Acyclic Graphic). The tree is a hierarchical structure. Each node in the graph has one or more predecessors and successor nodes.

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