This article is a part of Startup Spotlight, a series that features young, up-and-coming startups.

Image credit: Timmy Loen
Krystle Law spent 13 years launching products at corporations like Nestlé and Fonterra. She faced costly delays caused by fragmented ingredient and marketing compliance rules. She launched Taama to automate these checks.
😟 Problem
Labeling errors caused nearly half of all US food recalls in 2024, costing an estimated US$1.92 billion. Asia-Pacific markets feature different regulators like Australia’s TGA and Singapore’s HSA. These varying rulebooks require extensive manual checks.
Guesswork brings severe financial consequences. Australian regulators recently fined brands up to US$1.65 million per breach. Companies currently rely on slow, expensive consultants to navigate these regional nuances.
💡 Solution
Taama replaces manual work with an automated compliance engine for consumer packaged goods. Companies upload product details to verify them against regional regulations, including:
- Formula flags prohibited ingredients and checks doses against legal limits.
- Claims identifies permitted marketing statements and rewrites non-compliant language.
- Label and packaging detect missing warnings and mandatory packaging elements.
- Documents, audits, certificates of analysis, and assemble registration dossiers.

Image credit: Taama
📊 Market size
The global compliance spend for consumer packaged goods reaches US$280 billion annually, growing roughly 4% each year. Asia-Pacific drives 40% of global nutraceutical demand, representing a US$100 billion segment.
Taama targets a US$156 million near-term market across Australia, New Zealand, and Southeast Asia. This initial launch footprint encompasses over 15,000 addressable brands and retailers.
🤝 Team
- Krystle Law. Co-founder and CEO. She spent over 13 years driving product innovation at Nestlé, Fonterra, and dsm-firmenich.
- Violette Henot. Co-founder and COO. She delivered digital products for SUEZ and IBM as a project manager.
- Adrien Matéa Adan. Co-founder and CTO. He previously worked as a lead data scientist and AI engineer, building large language models.
🚀 Traction
- Secured paying customers through the consultant and agency channel on a subscription and reseller model.
- Launched live features for formula, claims, and label checks using Australian regulatory logic.
- Advanced into several enterprise-size pilot discussions directly with brands and retailers.
- Doubled both website traffic and AI referrals following a recent website rebuild.
🏆 Competition
AI compliance startups like Certo and Complir primarily serve the European, US, and North Asian markets. Legacy software tools like Decernis offer static reference libraries rather than end-to-end automation.
💰 Financials
🚩 Risks
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