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Key Takeaways Low-cost AI tools are transforming how startups commercialize their products because they speed up critical processes.
AI aids in tasks such as patent research and market sizing, while also addressing biases and grounding strategies in data for investor confidence.
While AI greatly assists with initial strategy and content creation, a human touch remains crucial for finalizing commercialization plans and maintaining authenticity.
Picture this: After founding your startup, you have your team in place. You can describe your product in your sleep. But now comes the next set of hurdles: commercializing your offering and finding a path into the marketplace.
This is where companies stumble. No matter how innovative the founders may be, entering the consumer landscape takes a different set of skills. All too often, products with great potential don’t make it to market — and lack of knowledge is the key stumbling block.
But with the AI revolution, startups can utilize low-cost AI tools to push them in the right direction and help guide commercialization planning. AI can supplement your knowledge and provide the speed, clarity and objectivity to make informed decisions at this critical point in the life of your business.
Large language models (LLMs) are the most significant AI for commercialization strategy creation. LLMs include programs such as ChatGPT, Iris.ai and Claude. If you’ve used one of these tools, you know that asking questions can yield in-depth answers and help refine your thinking. So, to use an LLM for commercialization, you need to know what to ask and how to ask it.
Consider the initial stage of commercialization: information gathering. Bringing new technologies to market requires extensive research and a significant budget. Assessing patent risk, estimating market size, identifying competitors and drafting investor materials takes significant time and requires experts who are often siloed. The results are strategies that can be biased, inconsistent and inadequate.
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