Orlando Tech Community’s Post

As we prepare to launch a platform with cutting-edge LLM and AI capabilities, including multimodality and multilingual features, we're curious how investors are evaluating companies in this space. Are they prioritizing those pushing the boundaries, or is there a concern that the market might not be ready for such rapid innovation? Secondly, how are investors assessing the risk of technical debt that might arise from this accelerated pace of development?

Echoing: Founders matter and Validation helps with future product development and investment/ capital mgmt strategy

My co-founder and I are building a SaaS AI technology company, Talent Frequency, focused on transforming Talent Acquisition through Conversational AI Voice & Chat Solutions. We're currently projecting $2M in ARR by then end of 2025 and are exploring early-stage funding through Angel Investors using SAFE terms to maintain ownership as we scale. In your experience, is this a recommended path for startups in our position, particularly those aiming to maximize growth while protecting founder control? Additionally, what milestones or metrics do you believe would make a company like ours more attractive for future Series A funding?

First I want to thank Bob for helping me find my feet here in the area as I am new to Central Florida. I have recently launched a Defense AI company with two Navy SEALs and a technologist out of Berkeley. We are solving a big problem for the military and starting pilots with both the Navy and Army in April. Do you recommend an incubator like Plug and Play offers, VCs or angels? Most importantly, we have just connected with the Ministry of Defence in the UK who are having the same issues and wants to engage us, which shows a wider market than we envisioned.

Any company that is an "AI" company should be able to explain the differences between supervised, unsupervised, and reinforcement learning, including how weights are updated in each case. If they do not know how to answer that, they are just an API wrapper.

As technology is typically the companies deemed investable, are you seeing any funds waiting to invest due to R&D not being immediately expensed or is that not a part of the reason for the downturn in investment away from AI?

How do you all recommend founders for early stage companies look at the overall funding landscape given the challenges VCs are facing? What are some things to look out for as you consider what seems to be growing number of angel groups (with large number of members), PE, debt, or even bootstrapping etc.?