🔍Project Vetting and Investment Process

Initial Screening

The initial screening process for projects listed on the DCP platform evaluates their technical and financial feasibility for DeepTech investment. Key criteria include:

• Technical Viability: Assessing the technology’s maturity, IP strength, and resource availability (e.g., talent, infrastructure).

• Financial Viability: Reviewing the project’s financial model, including projected costs, timelines, and revenue potential.

• Alignment with Mission: Ensuring the project aligns with DCP’s mission to close the innovation funding gap and advance DeepTech.

Due Diligence

The due diligence process involves a thorough evaluation to verify a project’s credibility and potential success. This includes:

• Technical Assessments: In-depth analysis of the project’s IP, technical design, and development roadmap.

• Financial Audits: Comprehensive review of financial statements, capital needs, and monetization projections.

• Risk Analysis: Identifying and mitigating risks, including technical uncertainties, market adoption, and regulatory hurdles.

Community Approval

DCP employs a decentralized governance model where community members holding $DCP tokens assess and vote on project proposals. This ensures broad support and alignment with collective goals. The approval process includes:

• Proposal Submission: Innovators submit detailed proposals, including IP documentation, for community review.

• Voting Process: $DCP token holders vote to approve or reject projects, guiding their commercialization path.

• Approval Criteria: Projects must meet a minimum vote threshold to be listed on the platform.

Funding Process

Once approved, projects are listed for funding on the DCP platform. The funding process involves:

• Milestone-Based Funding: Funds are released in stages tied to predefined milestones, ensuring accountability and progress.

• Investor Returns: Investors receive returns via IP-specific tokens or stablecoins, based on project performance, with $DCP holders eligible for discounts proportional to their holdings.

Project Feasibility Studies

Feasibility studies assess the technical and economic viability of each DeepTech project. Key factors include:

• Resource Availability: Evaluating access to critical resources like skilled teams, labs, or computing power.

• Project Conditions: Analyzing factors such as IP ownership, market readiness, and technical scalability.

• Impact Assessment: Assessing the project’s potential technological and economic impact, ensuring alignment with DeepTech goals.

Techno-Economic Modelling

DCP adapts tools like the System Advisory Model (SAM) or similar frameworks for techno-economic analysis of DeepTech projects. This involves:

• Output Forecasting: Estimating innovation outcomes (e.g., patents, prototypes) using historical data and simulations.

• Financial Performance: Projecting costs, revenues, and return on investment (ROI) across long-term scenarios.

• Sensitivity Analysis: Evaluating the impact of variables (e.g., R&D delays, market shifts) to identify risks and opportunities.