Imagine you could simply generate an entire EIC Accelerator application based on a single company file and a few prompts.
ChatEIC, a custom AI based on GPT-4, is able to do exactly just that.
EIC Accelerator Modules
The EIC Accelerator Training Program utilizes a Module-based approach to grant writing where specific sections are combined into Modules to facilitate the learning and writing process. Using the same approach for teaching companies how to write a grant application and apply for the EIC Accelerator, ChatEIC is able to learn how each section must be structured and can simply apply its learnings to any company.
In this scenario, the user has to provide only minimal input, if any. Ideally, the user only needs to upload an investor deck or a long pitch deck and ChatEIC will take it from there.
The Case Study: Generating Proposal Sections
As an example, one can use publically available data such as an investor deck by the publically-traded synthetic biology company Ginkgo Bioworks. While this deck is by no means complete, it contains 66 pages of valuable information and, most importantly, describes a DeepTech project that is very much aligned with the EIC Accelerator.
Ginkgo Bioworks, while it is a US business, is an excellent case study to test the capabilities of AI-generated grant proposal sections since the main performance standard for any AI grant writer is minimum input. Using an AI text generator is only useful if it reduces the workload which makes minimal prompt work a must.
Now, let’s see how well ChatEIC will perform with its general knowledge regarding the writing of EIC Accelerator proposals. A major challenge is to turn general knowledge into specialized knowledge since each company, market and industry are different.
So, is ChatEIC able to create specialized sections or will it end up being generic?
Example: Market, Abstract and Risks
Note: The modules contain pre-defined context that ChatEIC will recognize and use to write for this project. ChatEIC does not need to be reminded what each Module means since it knows them by heart and just needs to hear the number. In this case, the first input prompt only contains the Ginkgo Bioworks Investor Deck as a PDF attachment. The following chat conversation represents the entire conversation, prompts and information exchanged with ChatEIC without any edits or omissions. ChatEIC has no prior knowledge regarding grant applications for Ginkgo Bioworks or specialized knowledge of synthetic biology companies outside of the GPT-4 base.
Input: Write Module 56 (Ginkgo.PDF attached)
ChatEIC:
ChatEIC:
ChatEIC:
ChatEIC:
ChatEIC:
ChatEIC:
ChatEIC:
Conclusion
Interestingly, ChatEIC consistently answered that it did not find sufficient data in the Ginkgo bioworks investor deck to write the respective sections. Yet, it always takes the initiative to write the section anyway to the best of its ability and with the use of “XX” or example placeholders (i.e. standards for medical devices). Often, it is necessary to ask it to expand on certain topics but it understands it immediately and executes the task.
It is also clear that ChatEIC was not able to find all the information from the investor deck even if it was present. The deck actually contains an overview of the existing market for cell engineering lab operations and the market for bioengineered products on pages 19 and 20, respectively. Yet, ChatEIC could not find it at first. So it is often still necessary to point ChatEIC to the exact slide where certain data can be found or to ask it to do an internet search for other market reports.
But it is especially impressive that it easily generated an Acronym and Title for the project as well as generating suitable risks relevant to the company even without any risk-related input. Albeit, the disclaimer on page 2 does list a few risks that are generally mandatory disclosure for publically traded companies. However, for the purpose of the EIC Accelerator, the risks generated by ChatEIC are superior.
Outlook
Primarily, ChatEIC is a co-pilot to help applicants learn how to apply to the EIC Accelerator but it clearly has strong capacities to write each EIC Accelerator proposal section itself. This article demonstrates that ChatEIC is a powerful co-pilot if it has deep knowledge regarding the EIC Accelerator program.
But it would have been impossible to generate such nuanced information if ChatEIC didn’t know exactly what needs to be added where as part of the Training Program. Considering that the entire proposal contains dozens of modules, ChatEIC can be a convenient tool for proposal writing.
Still, it is not on par with the quality of an expert proposal writer just yet but it is much faster. ChatEIC can generate a good proposal before a writer has finished their research phase.
It seems like the European Innovation Council (EIC) is bound to be disrupted. But, of course, an organization celebrating disruptive innovation will be able to adapt in this rapidly growing space.
About
The articles found on Rasph.com reflect the opinions of Rasph or its respective authors and in no way reflect opinions held by the European Commission (EC) or the European Innovation Council (EIC). The provided information aims to share perspectives that are valuable and can potentially inform applicants regarding grant funding schemes such as the EIC Accelerator, EIC Pathfinder, EIC Transition or related programs such as Innovate UK in the United Kingdom or the Small Business Innovation and Research grant (SBIR) in the United States.
The articles can also be a useful resource for other consultancies in the grant space as well as professional grant writers who are hired as freelancers or are part of a Small and Medium-sized Enterprise (SME). The EIC Accelerator is part of Horizon Europe (2021-2027) which has recently replaced the previous framework program Horizon 2020.
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