Klype for AI startups: check AI drafts against your company facts

AI startups check AI drafts by saving the real model stack, evaluation results with dataset and date, data-use policy text and the level of human oversight. Marketing, investor updates and security answers are then run through a claim check that flags accuracy, autonomy and proprietary-technology claims the saved record cannot back.

Where AI drafts go wrong for AI startups

AI companies have a particular exposure: they are the ones making claims about AI. In March 2024 the SEC settled charges against two investment advisers for false and misleading statements about their use of AI, and the FTC has told businesses to keep AI claims in check and to be able to support them. An assistant writing your homepage is the least suited writer for the sentence "our proprietary model".

Accuracy and data-use are the two buyer questions. "99% accurate" needs a dataset and a metric. "Your data is never used for training" depends on your own policy and your providers' terms. Both belong in saved facts, in the exact words you can stand behind.

Claims an AI draft might invent for AI startups

These examples are invented for this page to show the pattern. They describe no real company, customer or result.

"Our proprietary foundation model" when the product uses a third-party model.
"99% accuracy" with no dataset.
"Never hallucinates" on any system.
"Your data is never used for training" when a provider's terms differ.
"Fully autonomous agents that replace a team" when humans review outputs.

The facts AI startups would save once

A saved fact is one sentence you can stand behind, with its source and date. Anything a draft claims that matches none of them is flagged.

The model stack: which models, from which providers, and what is your own.
Evaluation results: dataset, metric, date, who ran it.
Data-use policy text, and your providers' terms.
Where humans review, and where they do not.
Known limitations in plain words.
Security attestations and their scope.

The workflow

Write the model stack and evaluation results into saved facts, with the CTO as owner.
Draft homepage, deck and security answers in your assistant.
Run the claim check. Paste the evaluation summary as source text for every accuracy figure.
Send flagged technology and data claims to the CTO for sign-off by private link.
Publish, and keep the approval record with each version.

The method is the one on the draft fact check page: Klype extracts the figures, guarantees, vague authority and stories in a draft, matches each to your saved facts and any source text you paste, flags what it cannot back, and keeps an approval record. It is rule-based, so the same text gets the same answer, and it never publishes or sends anything.

The 7-day trial needs no card. Prefer to talk it through for your team first? Use the contact form below.

What the check does not do

It compares claims with the facts you saved and any source text you paste. It does not browse the web, does not verify outside claims and does not replace legal, compliance or editorial review where your work needs it. When it finds nothing checkable, it says nothing was verified, so you still read every draft before it goes out.

Sources

Each source is cited for the single point made above. Klype does not give legal advice; ask your counsel how any rule applies to you.

Common questions

What is AI washing?

It is the practice of overstating how a product uses AI. The SEC's March 2024 action against two investment advisers is an example of a regulator treating it as a misstatement.

Can the check measure our model's accuracy?

No. It checks that the figure in a draft matches the evaluation result you saved.

Does it work on drafts written by our own product?

Yes. It reads the text, not the tool that produced it.

Where to go next

Read how the check works on the draft fact check page, or try the free post checker without signing up. Related guides: Klype for cybersecurity companies, Klype for devtools companies, and Klype for investor relations teams. The full list is on the hub.