Data Provision
Instead of subjective evaluations such as “I heard this contractor is good,” the platform provides an objective environment for credit-based evaluation using enterprise-level data from Korea Evaluation Data (the largest domestic credit rating institution), public sector datasets, live user portfolios, and reviews. This integrated dataset of ~100 proprietary data columns enables users to analyze counterparties for safer transactions. Subcontractors also use this data to review prime contractors' financial risks, forming the basis for mutually safe deal execution.
Competitive Bidding Feature
The platform provides a balanced consortium-like bidding system that allows owners and contractors to exchange all necessary information without unnecessary complexity. This enables owners to reduce construction costs by accessing capable but smaller contractors, and enables contractors to compete fairly without losing opportunities to large incumbents.
AI Workflow & Dispute-Prevention Tools
The AI-based construction workflow connects project owners and contractors, enabling shared project viewing and collaborative progress tracking without disputes.
Mutual information transparency enabled via construction-specialized APIs
Bid opportunities for small yet highly skilled construction SMEs and professionals
Re-classification of fragmented construction industry categories to improve matching efficiency
AI-based process management to prevent contract violations, schedule delays, and related disputes
As construction permits and site commencements decline, demand from skilled professionals and construction SMEs for projects is growing. While small-scale remodeling and “white-collar” consumer-facing matching platforms exist, there is a lack of professional platforms reflecting full construction workflows and market sentiment.
The private construction market processes ~1.2 million annual permits, far outweighing the public sector’s ~20,000 cases. Beneath the permit layer, contracts occur across up to 405 subcontracting categories within KSIC, with an average 4:1 quotation ratio prior to contract—representing a large un-digitized market where DX penetration remains under 20%.
According to industry organizations (KISCA, CAK, AURI) and Statistics Korea, ~1.2 million private-sector construction contracts occur annually. Roughly 30% of prime contractors are estimated to use software for bid management, representing ~350,000 digital prime contracts. Below that level, up to 405 subcontracting categories are involved with 4:1 quotation behavior.
Statistics Korea reports that the combined number of construction firms and practitioners totals ~3 million individuals. With an estimated DX adoption rate of ~15% within core working-age segments (30s–50s), ~450,000 participants are accessible within the current digital quoting ecosystem, with DX adoption steadily increasing.
For Owners:
Provides AI-driven cost and schedule benchmarks, direct access to verified construction companies and professionals, and competitive bidding for risk reduction (credit, performance capability, safety) and cost optimization.
For Contractors:
Provides verified owner data to reduce payment risk, detailed project information to eliminate wasteful quoting, and digital market entry opportunities that bypass traditional offline network barriers. Contractors gain access to both small and large projects with low customer acquisition costs via category & geolocation-based bidding.
Our solution enables individuals unfamiliar with construction to act as informed decision-makers using data and AI—reducing risks related to pricing uncertainty, contract violations, delays, and other disputes. Professionals gain more project access and must deliver higher service standards due to transparency. The platform aims to become the “private-sector construction equivalent of the national procurement system,” serving as the representative data-driven marketplace for private construction.
To replicate the transparency and verification mechanisms of public procurement systems (e.g., credit ratings, licenses, certifications, administrative sanctions), the private construction market must adopt similar data environments. Existing associations are domain-specific and non-user-friendly; consumer matching platforms are too shallow, relying on subjective PR rather than objective credit and performance data. As a result, most participants—despite a DX era—still rely on outdated offline connections.
Owners gain clarity on required work scope, access to financial and technical profiles of contractors, and fair cost validation based on standardized estimates. They can safely initiate and complete construction with AI workflow support.
Contractors gain alternative market access channels beyond legacy offline networks. As decision-makers shift toward digitally native age groups, contractors exhibit strong adoption and retention due to survival-driven PMF (demonstrated via high CTR and retention metrics during campaigns).
Consumers and prime contractors browse qualified firms via filtered search. Upon selecting suitable firms, they submit project details and documentation, publishing an open bidding notice. Invited contractors receive notifications, while additional eligible contractors can organically join. Contractors with pre-set categories and geographies receive instant alerts for relevant bids. Participation is monetized via per-bid micro-payments or annual unlimited plans.
Our partnership with Korea Evaluation Data is significant not only because they represent a credit-for-finance data institution, but also because it marks their strategic diversification into sector-specific data ecosystems. By securing cross-industry data partnerships early, credit bureaus aim to lead vertical penetration rather than follow generalized matching platforms. Generic consumer matching platforms cannot retroactively add credit evaluations at scale due to structural misalignment. In contrast, our data & AI-based platform locks in both owners and contractors with scalable network effects, restoring trust in a market damaged by subjective, low-credibility platforms.
Ultimately, we are seeking validation and empathy from the market, and we aim to use Korea as a POC proving ground to demonstrate scalability in the private construction sector. Beyond our current service, we plan to complete a transaction ontology–based ERP system that locks in both owners and contractors, and a blockchain-based construction payment and progress certification system—enabling expansion into fintech and insurance domains. We are looking for partners who can support continuous investment, global expansion, and long-term growth together.