Sequencing deep tech funding is a crucial aspect of innovation and entrepreneurship. It involves combining non-dilutive grants with equity rounds to de-risk milestones in hardware, materials, and physical AI. This approach allows companies to leverage funding from various sources, reducing the risk of equity dilution and increasing the potential for return on investment.
The process of sequencing deep tech funding typically begins with the identification of milestones that need to be achieved. These milestones are then broken down into smaller, manageable objectives, each with its own set of key performance indicators (KPIs). By focusing on these objectives, companies can create a roadmap for their funding strategy, ensuring that they are stage-gating their progress and making adjustments as needed.
Understanding Non-Dilutive Grants
Non-dilutive grants are a type of funding that does not require companies to give up equity in exchange for capital. These grants are often provided by government agencies, foundations, and other organizations that support research and development initiatives. By leveraging non-dilutive grants, companies can reduce their reliance on venture capital and maintain control over their intellectual property.
Stacking Grants with Equity Rounds
Stacking grants with equity rounds involves combining non-dilutive grants with venture capital investments. This approach allows companies to leverage the benefits of both funding sources, reducing the risk of equity dilution and increasing the potential for return on investment. By stacking grants with equity rounds, companies can create a hybrid funding model that supports their growth and development.
Stage-Gated TRL Progress
Stage-gated TRL (Technology Readiness Level) progress involves breaking down the development process into smaller, manageable stages. Each stage is associated with a specific set of objectives and key performance indicators (KPIs). By focusing on these objectives, companies can create a roadmap for their development process, ensuring that they are making progress towards their goals.
IP Strategy and Data Packs
An IP strategy involves protecting and leveraging a company’s intellectual property. This includes patents, trademarks, and copyrights. By developing a strong IP strategy, companies can reduce the risk of intellectual property theft and increase the potential for return on investment. Data packs are collections of data that are used to support a company’s funding strategy. These packs typically include information on the company’s technology, market, and financials.
Generally, investors expect companies to provide detailed data packs that outline their technology, market, and financials. These packs should include information on the company’s milestones, objectives, and key performance indicators (KPIs). By providing this information, companies can demonstrate their potential for return on investment and increase their chances of securing funding.
