31–40 of 124 posts
Congrats on the launch, and thanks for using Intercom (co-founder here)
looks like more solutions looking for a problem that can be solved at the vendor level
In many use cases, like flagging documents for compliance issues or processing customer emails, it's challenging to manage this at the vendor level because end customers want the ability to apply business logic and run different analyses. For data ingestion and mapping, I agree that in an ideal world, we would all have first-party API integrations. However, many industries still rely on PDFs and CSV files to transfer…
isn't it obvious that this would be a problem that will eventually be solved by the LLM providers themselves including the ability to flag and apply business logic on top of the structured outputs?
Like I'm not sure if this is well known but LLM providers have huge pressure to turn a profit and will not hesitate to copy any downstream wrappers out of existence rather than acquiring them outright.
Its like selling wrapping tape around the shovel handle for better grip and expecting the shovel makers to not release their new shovels with it in the near future.
The shovel makers don't even need to do any market research or product development and the buyers don't have any incentive to seek or pay a dedicated third party for what their vendors will release for free and at lower costs if that makes sense.
It seems like your business strategy is contingent on foundational model providers not improving their product on a couple dimensions: price, grounding accuracy and file handling. This is a risky strategy, especially in such a competitive market. Wishing you the best of luck.
Our thesis is that foundational models will become good and affordable enough to be used in almost all data processing pipelines. We build systems on top of that to manage workflows, integrations, and data applications that people may want to develop.
Because browsers have an autocomplete feature.
Hey folks. Congrats on the launch. Everyone here knows that it's a really big problem that no one has nailed yet. My 2 cents: 1. It took us (newscatcherapi.com) three years to realize that customers with the biggest problems and with the biggest budgets are the most underserved. The reason is that everyone is building an infinitely scalable AI/LLM/whatever to gain insights from news. In reality, this NLP/AI works qui…
Hey folks. Congrats on the launch. Everyone here knows that it's a really big problem that no one has nailed yet. My 2 cents: 1. It took us (newscatcherapi.com) three years to realize that customers with the biggest problems and with the biggest budgets are the most underserved. The reason is that everyone is building an infinitely scalable AI/LLM/whatever to gain insights from news. In reality, this NLP/AI works qui…
1. I completely agree. Last-mile accuracy is crucial for enterprise buyers, and the challenge isn't just the AI. It's about mapping their business logic and workflows to the product in a way that demonstrates fast time to value.
2. Thanks for the feedback. We're still refining the messaging and don't want to be overly focused on just the extraction aspect. Do you think positioning it as ETL for unstructured data or high-accuracy extraction for enterprises might work better?"
non-snarky genuine question: is "generate structured data from unstructured data using AI" intended to be a moat or differentiator?
catalyst for my question: I just read about this capability becoming available from other AI vendors, e.g.
https://openai.com/index/introducing-structured-outputs-in-t...
It seems like your business strategy is contingent on foundational model providers not improving their product on a couple dimensions: price, grounding accuracy and file handling. This is a risky strategy, especially in such a competitive market. Wishing you the best of luck.
I would say the opposite. We want to make sure that we build our systems in a way that it get better as foundational model becomes better. Our thesis is that foundational models will become good and affordable enough to be used in almost all data processing pipelines. We build systems on top of that to manage workflows, integrations, and data applications that people may want to develop.
I'd need to actually dig into your product to make an informed statement but my guess is that if you build your business around AI secret sauce you're going to get your business eaten and pivot or fail, and if you build your business around a UI and specific integrations/tools real customers you're already in contact with want right now, you'll be ok.
Domains should start with your company name. Like trellishq.com Because browsers have an autocomplete feature.