KAI knows the market.
ChatGPT knows the world.
Where ChatGPT runs into a wall
You probably already use ChatGPT, and for most questions, it is exactly the right tool.
There’s a category of questions where the limitation isn’t the model, it’s the data.
“What is Vitamin E 50% actually trading at out of China this week?”
“Has MCP moved since January?”
“Which suppliers are actually quoting right now?”
These aren’t questions the open web reliably answers.
Where ChatGPT is useful
What we are not competing on
There are three areas where a general assistant is the right instrument, and KAI is not built to replace it.
Writing and reformulating
Drafting a supplier email in a language you read better than you write, or turning half an hour of messy call notes into something structured, none of which requires knowing this market.
Explaining what is public
Regulatory frameworks, customs classifications, the chemistry behind a synthesis route, the mechanics of a letter of credit, all documented in the open and in volume.
Everything outside this industry
Your board deck structure, your spreadsheet formulas, your travel, none of it has anything to do with feed and food additives.
Not a reasoning problem
The gap is not intelligence, it is what the market publishes
Ask a general assistant where a feed additive is trading, and it will do something reasonable. It searches, it finds what the open web holds for that product, and it assembles an answer from it.
What the open web holds
- Listing pages, where any seller can post an asking price
- Trade commentary, written weeks after the movement it describes
- Producer marketing, that exists to make a case
- Aggregator pages, whose own sourcing is undisclosed
All of it is real material, and none of it is a transaction.
What the trade actually runs on
- Offers sent by email
- Quotes given over the phone
- Contracts signed bilaterally
- Plant situations, circulated among the people directly affected
That layer does not reach a public web page in a form anything can read.
Which means a general model is not failing when it misses it, it is reasoning correctly over material that does not contain the answer.
So when you ask where Vitamin E (50% feed) is trading out of China this week…
Where are Vitamin E (50%) feed grade offers sitting out of China, and how has that moved since the start of the quarter?
ChatGPT handles this cautiously. It states that it cannot verify a current FOB level from public sources, it notes that the detailed offers sit behind market-data platforms, and it builds context from what it can reach, the March repricing, the January levels, commentary from June about tightening supply. It then characterises the quarter as firm and stable at elevated levels, with the supply situation remaining supportive.
KAI returns the benchmark series. The week sits at USD 9.10 per kg, down from USD 10.25 at the start of the quarter, a fall of USD 1.15 or 11.2 percent, declining every single week with the steepest drops in the last two weeks of July.
The two answers point in opposite directions, and the reason is not that one tool reasons better than the other. Public commentary described a market that was structurally tight, which was a reasonable thing to conclude from what had been published, while the offers actually recorded on the platform were falling steadily throughout the same weeks.
The answer that comes back is not based on the model’s capability. A larger, more powerful model reading the same absent data produces a more fluent version of the same incomplete picture.
KAI answers from the market data recorded in Market Radar, including:
When the data is not there, KAI says so rather than filling the space, which is the behaviour you need from something you intend to quote in a negotiation.
Common pushback
The three objections we hear most
Choosing the right tool
Use each for what it is built for
ChatGPT is your general assistant, for writing, reasoning, explaining, and everything outside this industry.
KAI is the layer that knows this market, for price levels, supply disruptions, and the offers and benchmarks recorded in the market, because that information lives on Market Radar rather than on the open web.
Where KAI stops
What KAI will not do
Never answers outside its scope
KAI answers from Market Radar data, so questions outside feed and food additives will get you a better answer somewhere else.
Never commits you to anything
KAI does not place orders, sign contracts, or commit you to anything, since it informs decisions rather than making them.
Never sees your internal systems
KAI does not reach into your ERP, your inbox, or your internal systems, so it does not know what you have not told the platform.
Never fills the gap with a guess
KAI will tell you when the data is thin instead of producing a plausible number, which is occasionally frustrating and consistently the right behaviour.
Ready to see it work?
See what KAI actually returns
KAI is available inside Market Radar, so the quickest way to see whether it answers your questions better than what you use today is a walkthrough with our team, using products you actually source rather than examples we picked.
Talk to our teamComparing a different tool?
