Industry Sectors
This is the cost of “dirty data”: broken trust, wasted resources, lost opportunity.
We envision a future where data is accurate, ethical, and continuously updated, providing organizations with the clarity to act with integrity.
Advertising
Advertising runs on data — but today’s ecosystem is plagued by fraud, waste, and declining trust. Clean Data delivers verified, consented zero-party insights that enable hyper-targeted campaigns, reduce ad waste, and improve ROI. With the potential to lift revenues by 5–20% and expand margins 10–25%, Clean Data offers marketers accuracy, compliance, and a lasting trust advantage.
→ Brands use only permissioned data, so ads feel helpful, not creepy — saving billions in fraud and waste.
AI
AI is only as good as the data it learns from. Dirty, biased, or non-consented data erodes accuracy and public trust. Clean Data provides privacy-first, high-quality datasets that improve model performance, personalization, and compliance. With revenue uplift of 10–25% and margin gains of 10–20%, Clean Data is the foundation for sustainable, ethical AI at scale — from healthcare to finance to consumer products.
→ Models trained on verified, unbiased data are smarter, fairer, and trusted.
Events and Media
Events and media companies thrive on engagement but lose billions to poor audience insights, fragmented data, and fraud. Clean Data enables personalized experiences, targeted sponsorships, and better inventory monetization. By reducing compliance costs and optimizing operations, the model boosts revenue 8–20% and margins 10–18%, unlocking predictive audience segmentation that reshapes both live and digital experiences.
→ Audience data is consented and accurate, so shows sell out and sponsors see real impact.
Finance
Financial services depend on precision and trust. Clean Data empowers banks and institutions with accurate underwriting, fraud prevention, and compliant automation. By reducing data errors and regulatory risk, firms can lift revenue by 5–15% and expand margins by 10–20%. With back-office automation alone saving trillions globally, Clean Data delivers the foundation for efficient, trustworthy financial ecosystems.
→ Banks use clean, compliant data to underwrite loans fairly, stop fraud, and automate safely.
Healthcare
Healthcare’s future depends on data that is accurate, private, and human-centered. Clean Data powers superior patient stratification, predictive analytics, and personalized medicine, raising revenues 5–15% while reducing diagnostic errors and waste. With margin gains of 10–25%, providers and payers adopting privacy-first strategies build trust, reduce compliance risks, and lead in the shift to AI-driven, patient-focused care.
→ Consent-driven patient data improves diagnosis, personalizes treatment, and reduces mistakes.
Insurance
Insurance relies on risk modeling — and bad data means higher loss ratios, fraud, and regulatory exposure. Clean Data improves underwriting accuracy, lowers claims fraud, and enables personalized products. Delivering revenue uplift of 8–15% and margin gains of 10–20%, Clean Data also enhances operational efficiency and transparency, positioning insurers ahead in an increasingly competitive market.
→ Risk models built on truthful, direct data mean fair pricing and faster claims.
E-commerce
In a crowded marketplace, e-commerce brands win through trust, personalization, and efficiency. Clean Data enables accurate segmentation, smarter inventory management, and higher customer lifetime values. By reducing fraud, returns, and marketing waste, Clean Data unlocks 5–15% more revenue and 10–20% higher margins, while enhancing brand reputation through privacy-first, consent-driven strategies.
→ Retailers rely on zero-party data for accurate recommendations, fewer returns, and loyal customers.
Travel
Travel thrives on guest experience, yet dirty data leads to inefficiencies, fraud, and eroding loyalty. Clean Data allows for dynamic pricing, personalized loyalty programs, and predictive demand forecasting. With revenue uplift of 5–15% and profit margin gains of 10–25%, it cuts operational waste and builds traveler trust, helping brands thrive in the increasingly experience-driven travel economy.
→ Guest data shared with consent enables personal touches, smoother service, and lasting trust.
Government & Public Sector
Governments shape society, yet rely on outdated, inferred data that leads to waste and policy inefficiencies. Clean Data provides accurate, consented insights into citizen needs, enabling smarter programs, higher participation, and lower costs. With potential global savings of $10 trillion, Clean Data improves responsiveness, reduces errors, and rebuilds trust in public institutions while powering efficient digital governance.
