41% More Accurate
Than Generic AI
We tested EffortlessAI against ChatGPT-4 on 5 real EU cosmetics regulatory scenarios. Here are the results.
Benchmark Methodology
📋 Test Setup
- • 5 real EU regulatory scenarios from actual formulator workflows
- • Same questions asked to both ChatGPT-4 and EffortlessAI
- • Responses evaluated against official SCCS/EU sources
- • Blind evaluation by cosmetics regulatory professional
⚖️ Scoring Criteria
Detailed Scenario Results
Click each scenario to see the full comparison
SCCS Default Exposure Values
Face cream exposure calculation parameters
"Face cream exposure is typically ~0.1-0.5 g per application, applied 1-2 times daily."
Source: Cosmedesk industry overview
- • Vague range instead of exact value
- • Missing surface area (565 cm²)
- • Missing dermal absorption (10%)
- • Cited industry blog, not SCCS
Daily exposure: 1,540 mg/day
Surface area: 565 cm² (half head)
Default dermal absorption: 10%
Retention factor: 1.0 (leave-on)
Source: SCCS/1628/21 Appendix 7, Table 2
- • Exact SCCS default value
- • All required parameters included
- • Direct citation to official source
- • CPSR-ready data format
Margin of Safety Thresholds
MoS requirements for different substance types
"The standard MoS threshold is 100 for cosmetic ingredients. This ensures adequate safety margin."
Source: General cosmetics safety guidelines
- • Wrong MoS for CMR substances
- • Should be MoS ≥1000 for CMR
- • 10x error could cause product recall
- • No source citation provided
Standard ingredients: MoS ≥100
CMR substances: MoS ≥1000
Genotoxic substances: Case-by-case TTC approach
Source: SCCS/1628/21, Section 3.4.5
- • Correct threshold for all substance types
- • CMR distinction is safety-critical
- • Official SCCS reference
- • Prevents regulatory rejection
Allergen Labeling Requirements
Declaration thresholds for fragrance allergens
"26 allergens must be declared:"
Leave-on: 0.001%
Rinse-off: 0.01%
Source: EU Cosmetics Regulation 1223/2009
- • Wrong count: Now 80 allergens
- • Updated via EU 2023/1545
- • Effective since March 2024
- • Would cause non-compliance
80 allergens (updated 2024)
Leave-on: >0.001% (10 ppm)
Rinse-off: >0.01% (100 ppm)
New additions include: methyl salicylate, benzaldehyde, camphor, etc.
Source: EU 2023/1545, effective March 2024
- • Correct updated count (80)
- • Accurate thresholds
- • References latest amendment
- • Lists new additions
Preservative Concentration Limits
Maximum allowed levels for common preservatives
Phenoxyethanol: 1.0%
Parabens: "varies by type"
Benzisothiazolinone: "check Annex V"
Source: EU Annex V
- • Vague answers for parabens
- • No specific limit for BIT
- • Missing product type restrictions
- • "Check Annex V" isn't helpful
Phenoxyethanol: 1.0% (all products)
Methylparaben: 0.4% single / 0.8% mixture
Butylparaben: 0.14% (banned <3 years diaper area)
Benzisothiazolinone: 0.01% rinse-off only (banned in leave-on since 2017)
Source: Annex V entries 12, 29, 31
- • Exact limits with Annex entries
- • Product type restrictions included
- • Age restrictions noted
- • Ready for formulation use
Aggregate Exposure Assessment
Multi-product exposure calculation requirements
"Sum the exposures from each product type where the ingredient is used. Consider realistic use patterns."
Source: General toxicology principles
- • No SCCS default product combinations
- • No aggregate exposure factors
- • Missing "worst case" methodology
- • No practical calculation example
SCCS Aggregate Method:
1. Identify all product types containing ingredient
2. Use SCCS Table 2 default exposures for each
3. Sum: AED = Σ(Ci × DAi × Ai) / BW
4. Total daily exposure: 17.4 g/day default
Source: SCCS/1628/21 Section 3.4.3, Appendix 7
- • Official SCCS methodology
- • Default product combinations
- • Calculation formula provided
- • 50-60% of CPSRs fail on this
Complete Results Summary
| Scenario | Generic AI | EffortlessAI | Difference |
|---|---|---|---|
| 1. SCCS Default Values | 6.5 | 10.0 | +53.8% |
| 2. MoS Thresholds | 5.0 | 10.0 | +100% |
| 3. Allergen Labeling | 7.0 | 9.8 | +40% |
| 4. Preservative Limits | 8.0 | 9.9 | +23.8% |
| 5. Aggregate Exposure | 8.5 | 9.6 | +12.9% |
| AVERAGE | 7.0 | 9.86 | +40.9% |
Why This Matters
Generic AI Risks
- • Wrong MoS values → Product recalls
- • Outdated allergen lists → Non-compliance
- • Vague values → CPSR rejection
- • Dead links → Unverifiable citations
EffortlessAI Advantages
- • Exact SCCS/EU values → Ready for Safety Assessors
- • Monthly updates → Always current regulations
- • Verified sources → Every link works
- • Complete parameters → No guesswork
The Cost of Wrong Regulatory Answers
What Makes the Difference
1,981 Curated Sources
Not web scraping. Manual curation of peer-reviewed, government, and industry sources.
0% Dead Links
Every source verified. Every link tested. Every citation checkable.
Monthly Updates
Regulations change. Knowledge base updated monthly with latest amendments.
📋 Transparency Note
This benchmark was conducted internally by the EffortlessAI team in December 2024. We tested ChatGPT-4 (latest available version) against our trained agent.
Questions were selected from real formulator workflows — the kinds of questions that come up daily when preparing CPSRs and compliance documentation.
We invite third-party verification. If you're a regulatory professional interested in running independent tests, contact us at infio@effortlessai.ai.
See the Difference Yourself
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