AI Disclosure

1. Where AI is used

Scaleify uses AI language models in three places:

• Reading a public post or signal and summarising what the person appears to need.
• Producing a relevance score and a short explanation of why an opportunity was flagged.
• Drafting a suggested first message that you can edit before sending.

2. Fact vs inference

Every Opportunity Story separates what was actually written from what the model has inferred, and lists what is still unknown. If a detail is not in the original text, it is an inference and may be wrong.

3. How scores work

A score is a relative ranking signal, not a probability of winning the work. It reflects how closely the language matches the service you offer, how recent the signal is, and how clearly a need is expressed. Two similar opportunities can score differently, and a low score does not mean the opportunity is worthless.

4. Known limitations

• Models can misread sarcasm, humour, regional phrasing and industry jargon.
• An old post may look current if the platform does not expose a reliable timestamp.
• The same person may appear more than once across different sources.
• Generated messages can sound generic if you do not edit them.

5. You are always in control

Scaleify never sends a message on your behalf automatically. Nothing is contacted without you reviewing it, editing it and choosing to send it yourself.

6. Data sent to AI providers

To analyse an opportunity we send the public text of the signal, plus the description of what you sell, to our AI provider. We do not send your account credentials or your customer records for model training. More detail is in our privacy policy.

7. Contact

If an analysis looks wrong, tell us through the contact page. Reports of poor output directly shape how we tune the product.