Accelerate AI

Case Prompt

Our client, Accelerate AI, is a software company that for the last two years has focused on developing enterprise LLMs. The technology is ready to be deployed in 2026 and the company is looking at ways to sell it. For instance, to provide customer service chatbots, meeting note taking and summarizations, or summarizing large documents.

The client has hired us to (1) identify the best revenue streams to focus on, and (2) strengthen venture capitalists’ perception of market feasibility for potential new rounds of financing.

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General response summary

• The interviewee should ask about the current financial situation of the company. How did they finance their project for the two last years? Did they have any revenue during that time? Why are they in need of new financing rounds and what are they looking to achieve with the additional funds? Are there competitors?
• Information to be given if asked:
  • Accelerate AI covered all its expenses with venture funds and could fully operate until the end of 2025 without needing additional money.
  • They only had negligible revenue streams in the past years from small consulting projects.
  • They have identified that they can start generating revenue to sustain their operations a year from now (2027 – just before depleting their current budget).
  • There is one more company already offering a similar but very inferior finished alternative.
  • LLMs are large language models which are AI algorithms that can understand human language input as textual prompts, isolate meaningful insights from the text and deliver output in human like language as text.
    

Sample framework should address the following

1. Understanding LLM market

   a. Accelerate AI’s current capabilities- Financial (P&L), ability to tailor LLM offerings to the clients

   b. Competitive landscape - current and new prospective competitors

   c. Market regulations necessary to cater clients

2. Analyze which option will maximize revenue in 1 year (2026-2027)

   a. Rev = # of clients x average service contract

       i. Maximize # of clients (organic or inorganic modes)

      ii. Maximize average service contract - cater to big clients

3. Risk, Opportunities and Execution

   a. Risk - Regulatory, Competitor developing advanced model, uptake in clients

   b. Opportunities - Developing new client relationships, new applications

   c. Execution steps