Why can AI tools give wrong answers, "hallucinations"?
You may have already used AI tools like ChatGPT, Gemini, Claude... or others to search for information about cosmetic evaluation methods, service providers, or scientific references. These tools, called large language models (LLMs), are powerful but have a major flaw: they can provide false information, entirely made up, called "hallucinations". The AI apologizes but the information is not very reliable.
What does this mean? Concretely, an LLM does not truly "know" things. It generates text that seems plausible by relying on word sequences and text patterns. They function as giant statistical prediction machines that repeatedly predict the most plausible next word in a sequence. Sometimes, it invents facts, fabricates references, or mixes up information while appearing perfectly confident. This is what is called a hallucination.
In everyday conversation, this is a minor issue. But in a scientific and regulatory context such as cosmetic ingredient and dermocosmetic product evaluation, a hallucination can have serious consequences: wrong testing methods, non-existent service providers, or inaccurate claims can lead to costly errors and non-compliance risks.
This is precisely why having verified and human-validated data is essential.
What sets Skinobs apart from AI and LLMs?
Skinobs was designed to be a reliable reference platform in the cosmetic evaluation industry. Here is how we guarantee the robustness of every piece of information you find on our platform:
🔒 Confidential with controlled access
Each Skinobs user account is manually validated by our team. You will find neither bots nor fake profiles on the platform. This manual verification process ensures that only legitimate professionals in the cosmetic and evaluation industry can access the platform's content.
Since access is restricted to verified users, Skinobs data is not indexed by search engines or scraped by AI models. The information stays where it should be: in the hands of qualified professionals.
✅ Human-validated information, zero hallucination
Each evaluation service listed on Skinobs is directly provided and validated by the laboratory that offers it through a 4-step process. This means:
No AI-generated or fabricated content
No unverified claims
Each service description is a true scientific reference, maintained by the service provider themselves
When you find an evaluation laboratory on the Skinobs platform, you can be sure it exists. When you find an evaluation method on Skinobs, you can be certain it exists, because the equipment manufacturer has provided us with the exact details of its characteristics.
🔐 A closed ecosystem for professionals in the field of skin, hair and scalp testing
Unlike open web sources accessible to everyone (including robots), Skinobs is a closed platform.
This closed approach protects:
Service providers, whose detailed services are only visible to relevant professionals,
Evaluation managers, who can make decisions based on verified data rather than approximations,
Data integrity, which is protected against any misuse or misinterpretation by indexing bots.
In summary
| Open Web / AI Tools | Skinobs |
Information source | Scraped, aggregated, sometimes fabricated | Provided directly by laboratories |
Verification | None or automated | Manual validation by Skinobs + Service providers |
Access | Open to everyone, including bots | Reserved for verified professionals |
Hallucination risk | High | None, each service is a real reference |
Data freshness | Depends on training data | Maintained by Skinobs continuously for 10 years |
Skinobs gives you the certainty that what you read is real, verified, and up to date, because in science, there is no room for hallucinations.