What Tamats does, what it costs, what it covers, and — the one that matters most in this category — what happens when it does not know. Still missing something? Ask us directly.
- What is Tamats?
- Tamats is a cosmetics research workspace for cosmetic brands and contract manufacturers. You chat with a cosmetics-specialized AI agent that searches scientific literature with cited results, analyzes ingredients against a compiled regulatory corpus, builds and versions formulations, checks compliance for a target market or retailer standard, generates concept imagery, and drafts manufacturer outreach that a human confirms before it sends.
- Who is Tamats for?
- Two sides of the same deal: cosmetic brands (indie through scaling) who sell and outsource manufacturing, and contract manufacturers and ODMs who formulate and produce. Within those teams the daily users are product development, regulatory affairs, and founders who wear both hats.
- How much does Tamats cost?
- There is a free tier with one seat and 100 credits per month, no credit card. Paid plans are per member per month: Brand at $149 and Manufacturer at $249, with annual billing saving 17%. Enterprise is custom-priced. Every plan includes all seven agents — Tamats does not charge per agent or per module — and credits pool across the whole team.
- Is there a free version of Tamats?
- Yes. The free tier gives one seat and 100 credits per month with a Google sign-in and no credit card. Separately, three tools are ungated and need no account at all: the compliance scan at tamats.org/scan, the ingredient regulatory index at tamats.org/ingredients, and the regulations index at tamats.org/regulations.
- Which regulatory markets does Tamats cover?
- Fourteen markets: the European Union, United States (FD&C Act and MoCRA), South Korea, Japan, China, United Kingdom, Canada, Australia, India, Brazil, Mexico, ASEAN, plus California (Prop 65 and AB-2771) and Washington State (Toxic-Free Cosmetics Act) as separate US sub-markets. Each rule links the primary source it came from.
- Does Tamats check retailer clean standards like Clean at Sephora?
- Yes. Thirteen retailer programmes are compiled alongside the government regulations: Clean at Sephora, Conscious Beauty at Ulta, Target Clean, Amazon listing compliance, Credo Clean Standard, Whole Foods Body Care and Premium Body Care, Walmart Sustainable Chemistry and the Walmart Made Without List, CVS store-brand chemicals policy, Costco vendor compliance, Douglas clean criteria, and The Detox Market banned list. Retailer exclusion lists are a common reason a compliant formula still fails to get shelf space, so they are checked in the same pass as the legal ones.
- How does Tamats stop the AI from inventing regulatory answers?
- Cite-or-abstain, enforced in code rather than asked for in a prompt. Factual, safety and regulatory claims must link a real source retrieved from the corpus; when no source is retrieved the agent says so and stops instead of guessing. Compliance findings are computed against the compiled rule set, not generated as prose, and an ingredient with no matching rule returns 'review' — never a fabricated pass.
- How is Tamats different from asking ChatGPT or Claude directly?
- A general assistant answers cosmetic regulatory questions from memory, which is where hallucinated concentration limits and retired annex entries come from. Tamats computes findings against a compiled corpus of regulations and retailer standards with a citation on every entry, keeps formulations as versioned objects instead of chat text, and abstains when it has no source. The tradeoff is scope: it only does cosmetics.
- Is Tamats a PLM system?
- No. Tamats is the research, formulation and compliance layer that sits in front of whatever system of record a team already runs. It does not replace PLM, ERP, LIMS or QMS, and it does not run stability, challenge or clinical testing.
- Can Tamats replace a safety assessor or a CPSR?
- No. AI output in Tamats is informational and is not professional, medical, legal or regulatory advice. An EU Cosmetic Product Safety Report and US MoCRA safety substantiation still require a qualified assessor. What Tamats does is get a formula to that assessor with the ingredient-level regulatory work already done and cited.
- Can I check a formula for compliance without creating an account?
- Yes. Paste an INCI list into the free scan at tamats.org/scan, pick a market or retailer standard, and it returns banned, restricted and flagged findings with the citation for each — no account, no key, no credit card. It runs the same compiled corpus and the same ingredient matcher as the product's authenticated compliance surfaces.
- What agents does Tamats include?
- Seven, all included on every paid plan: Research (cited literature search), R&D (formulation building and versioning), Compliance (multi-market and retailer checks), Designer (concept imagery, label editing, brand kit), Marketing (positioning and claims support), Sourcing (manufacturer discovery and outreach drafts), and Market Intel (category and competitor research).
- Does Tamats help find manufacturers?
- Yes. The Sourcing agent discovers candidate manufacturers and drafts outreach, including RFQ-shaped briefs built from the formulation you have in the workspace. Sending is human-confirmed — the agent never emails a manufacturer on its own.
- Is my formulation data used to train AI models?
- No. Content you submit is sent to the large-language-model provider for inference and to any retrieval source you invoke, processed under the subprocessor terms in the DPA. Your private content is not used to train Tamats' own models.
- Does Tamats support Korean, Japanese and Chinese market entry?
- Yes — South Korea (MFDS Cosmetics Act ingredient standards), Japan (MHLW Standards for Cosmetics) and China (NMPA Safety and Technical Standards for Cosmetics) are three of the fourteen compiled markets, each with cited ingredient rules. The marketing site is published in English, Korean and Japanese.
- How do Tamats credits work?
- Credits meter agent work — a literature search, a compliance pass, an image generation. Each paid member adds their monthly credit allowance to a shared team pool, so a heavy user and a light user on the same workspace draw from the same balance rather than each hitting a personal ceiling. The free tier gets 100 credits per month.