← All comparisonsTamats vs Good Face Project
The nearest neighbour in category: cloud formulation software built around a proprietary ingredient ontology, sold across the whole value chain.
What Good Face Project says it does
- —Good Face describes itself as “the software for cosmetic product innovators, powered by AI and the industry's best data”.
- —Four capability areas are named on the home page: Formulation, Regulatory Compliance, Claim Validation and Predictive Modeling.
- —It is sold to four audiences: formulators and manufacturers, ingredient suppliers, brands, and retailers.
- —Named features include a private raw materials catalog, a partner portal described as protecting formula IP, and a public trade name library.
- —The data claim is “the largest proprietary ontology of cosmetic ingredients graded across dimensions of safety, sustainability, and efficacy”.
- —Published customer testimonials include regulatory and R&D staff at e.l.f. Beauty, Odele Beauty, Sula Labs, Salvona Technologies and Federal Package.
Read from thegoodfaceproject.com on 2026-08-03
What we could not verify
- —Pricing is not published — the call to action is “Book a Demo”.
- —Their site does not enumerate which regulatory markets or retailer clean standards are screened, so we do not characterise that coverage.
- —The ingredient ontology is described as proprietary and graded, but the grading methodology and its sources are not published, so we cannot compare it to a citation-per-rule corpus.
Where they differ
- Ingredient data model
- TamatsA compiled rule set where each entry names the regulation or retailer standard it came from, plus a CosIng-derived ingredient reference. You can read the citation before you trust the finding.
- Good Face ProjectA proprietary ontology grading ingredients on safety, sustainability and efficacy. Graded scores answer a different question than “which regulation says so”.
- Retailer clean standards
- Tamats13 retailer programmes — Clean at Sephora, Ulta, Target, Credo, Whole Foods, Walmart and others — checked in the same pass as the legal rules, and browsable publicly.
- Good Face ProjectRetailers are named as a customer segment; the standards screened are not enumerated publicly.
- Evaluating it
- TamatsFree tier, published pricing, and an ungated scan you can run before talking to anyone.
- Good Face ProjectBook a demo.
Choose Good Face Project when
- You want an established platform with named enterprise beauty customers and a supplier/partner network already on it — that network effect is real and we do not have it.
- Claim validation and predictive modelling on graded ingredient attributes is the specific job you are buying for.
Choose Tamats when
- You want to see the regulation behind a finding rather than a graded score, and you want that visible before you buy.
- Retailer clean-standard screening is the thing blocking your launch and you want the list you are being screened against to be public.
Settle it without a demo
Paste your INCI list into the free compliance scan and read the citations yourself — no account, no key. Then compare it to whatever the other tool tells you.