Company

A Hong Kong-incorporated engineering partner for global Web3 and AI teams.

DAPPWEB LIMITED operates the DappWeb brand and delivers controlled software, security, AI, data, and cloud engineering engagements for global clients.

DappWebHong Kong
Legal entityDAPPWEB LIMITED
Company no.78331916
Incorporated18 June 2025
DeliveryRemote service for global teams

01

Verified company identity

Public identity details are limited to information suitable for buyer and vendor verification.

Registered company

DAPPWEB LIMITED is incorporated in Hong Kong under company number 78331916. The certificate of incorporation records 18 June 2025 as the incorporation date.

Trading name

DappWeb is the public service brand used by DAPPWEB LIMITED for software engineering, smart contract security, AI workflow, data infrastructure, and cloud operations work.

Official website

dappweb.ai is the canonical company website. Project inquiries should use the published contact channels or the structured project brief.

02

How DappWeb works

Engagements are controlled through written scope, traceable implementation, acceptance evidence, and client-owned operating environments.

Discover

Scope and architecture

Confirm users, chains, repositories, integrations, permissions, compliance constraints, acceptance criteria, schedule, and ownership.

Deliver

Build and verify

Implement against agreed repositories and environments, then produce test results, review findings, deployment receipts, and release evidence.

Operate

Handoff and support

Document monitoring, privileged actions, incident paths, runbooks, and named client owners before production handoff.

03

Global technical coverage

DappWeb serves global teams in English and Chinese without limiting delivery to one region.

Multichain applications

Solana, EVM networks, Sui, Move ecosystems, wallets, DeFi, RWA portals, marketplaces, payments, dashboards, indexers, and operations tooling after scope review.

Security, AI, and data

Smart contract review, threat modeling, remediation, supervised AI agents, retrieval systems, data pipelines, risk monitoring, cloud automation, and launch readiness.

Send project brief