We have a verification product (temporarily named the Truth Engine) that allows businesses to verify data directly from its source using advanced mathematics and cryptographic proofs.
How it works:
The result:
A user can prove facts about themselves that are 100% tamper-proof, 100% privacy-preserving, and require no approval or API access from the original data source. The receiving business can fully trust user-submitted information for the first time.
Demo Context:
FTL Finance, a homeowner loan company, wants to pre-qualify a user based on their credit score. The user can prove their credit score by logging into Credit Karma, without ever providing FTL their social security number or any other sensitive information.
Rippling wants to acquire customers from an incumbent (e.g. Gusto). Users prove they have an active Gusto account by logging in, and Rippling instantly verifies this and offers a significant switching bonus.
Rippling Marketing Demo Gusto.mov
Airhelp, which helps users file claims to receive compensation for delayed/cancelled flights, needs to verify that a user’s claim. Instead of relying on a user’s uploaded document, which can be fraudulent, they have the user login to the airline portal to prove they were indeed on the flight.
| Capability | Description |
|---|---|
| Source verification | Verifies data directly from any HTTPS website - bank accounts, loyalty portals, payroll systems, social platforms |
| Tamper-proof | Cryptographically unforgeable - cannot be faked like screenshots, PDFs, or self-reported data |
| Privacy-preserving | Sensitive data (SSN, full account details, credentials) never leaves the user’s control or reaches the business (i.e. GDPR compliant) |
| Permissionless | No API access, partnership, or consent from the data source required |
| Automation-ready | Integrates with programmable logic for instant, automated decisioning |
| Value Proposition | Business Outcome |
|---|---|
| Eliminate document fraud | 100% reduction in fraud from user-submitted content (PDFs, screenshots, self-reporting) |
| Reduce onboarding drop-off | Remove requests for sensitive data (SSN, bank statements) that cause users to abandon |
| Cut verification costs | Replace expensive third-party data pulls (credit bureaus, identity vendors) with direct source verification |
| Slash processing time | Verification in seconds vs. days/weeks of manual document review |
| Reduce ops headcount | Automate the existing manual review processes of documents |
| Precision targeting | 100% accuracy in qualifying users based on verified attributes (e.g. top runner on Strava, big spender on Amazon), leading to lower CAC, higher ROAS for marketing teams |
| Launch campaigns faster | Co-marketing and status-match campaigns can be launched in days, not months (partnering companies don’t have to worry about cross-company tech integrations since they can plug into data sources with Burnt automatically, and don’t have to worry about PII since it is privacy preserving tech) |
| Zero data liability | Businesses who use Burnt’s product never have to store PII → eliminates GDPR/CCPA compliance burden and data breach risk |
| Enable higher incentives | By allowing companies to instantly and automatically check the attributes of a user, the ‘Pre-qualification’ stage removes a lot of risk & enables chance for more valuable offers to users that may have higher LTVs → offer significantly larger signup bonuses to verified high-value users |
| Access previously locked data | Verify competitor status, off-platform behavior, and first-party data without partnerships or APIs |
| Instant payouts | Claims, rewards, and settlements in seconds once verification confirms eligibility |
| Dimension | Detail |
|---|---|
| Core pain points | Signal loss due to cookie deprecation and privacy laws has led to wasted ad spend on probabilistic targeting that cannot distinguish high-value users |
Companies also have an inability to launch co-marketing campaigns due to GDPR/data-sharing friction and lengthy integration timelines
Status-matching can be tricky due to fraud arising from an inability to reliably verify a users status on a competitor | | Our value proposition | Acquire competitor customers with 100% precision — user proves they’re a competitor’s “Platinum member” or “5-year subscriber”. No consent is needed from the competitor as it is user-provided data
Launch campaigns in days, not months, by bypassing lengthy integration timelines and PII hurdles
Offer significantly higher incentives in existing campaigns because risk of fraud/low-quality users can be instantly verified so Long Term Value (LTV) customers can better be qualified | | Assumed buyer | CMO, Head of User Acquisition, VP of Growth, Head of Partnerships | | Assumed buying trigger | Rising CAC, declining ROAS, pressure to acquire high-LTV customers | | Core insight | Signal loss from privacy changes makes it harder to target users ($10B estimated in lost revenue from cookie deprecation)
Disconnect between high Click Through Rates (CTR) and conversions on ads = reaching users isn’t the problem, reaching qualified users is the problem. Burnt helps with the latter part in helping companies qualify the users they are reaching |