Founder building privacy-preserving verification and trust products — where blockchain, AI, and design meet.
I build systems that let people prove eligibility and act safely online without exposing identity or forcing wallet links. Backed by an EPO-confirmed patent and 8+ years of hands-on shipping.
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Founder profile
I'm a technical founder focused on privacy-preserving verification, transparent systems, and practical AI. My work sits at the intersection of cryptography-inspired thinking, product strategy, and high-polish execution.
Over the last 8+ years I've shipped web products end-to-end and built a patent-backed approach to anonymous verification designed for regulated or trust-sensitive environments.
Education
- BSc Physics
- BSc IT Engineering
- MSc Computer Science (Research)
Current
- Imperial College London Business School
- MSc Innovation, Entrepreneurship & Management
Experience
- 8+ years building products
- Full-stack technical founder
IP
- EPO-confirmed patent
- Privacy-preserving verification
How I work
Fast prototyping
Ship working versions early, iterate with real feedback.
Privacy-by-design
Build trust into architecture from day one.
Measurable outcomes
Define success metrics before building features.
Clean UX
Complex systems should feel simple to use.
Patent-backed verification moat
My EPO-confirmed patent enables users to prove eligibility or verification status without exposing personal identity and without mandatory wallet linking.
What it enables
- Anonymous age/location/eligibility checks for regulated products
- Wallet-free onboarding to blockchain-based services
- Privacy-preserving KYC that meets compliance without data exposure
- Trust signals for social platforms without doxxing users
Where it applies
- Prediction markets & fintech
- Hospitality loyalty programs
- Social identity & creator platforms
- Regulated gaming & betting
- Healthcare eligibility verification
Why it's hard
- Balancing privacy with regulatory compliance is technically complex
- Most solutions force trade-offs: privacy OR compliance, not both
- UX for cryptographic verification is typically poor — users abandon
- Cross-jurisdiction requirements demand flexible architecture
Details shared at a high level; deeper technical walkthrough available on request.
Projects & Ventures
Active products and platforms I'm building — from flagship privacy infrastructure to consumer apps.
Privacy-Preserving Prediction Market
Privacy-preserving prediction market with wallet-free onboarding and anonymous eligibility checks.
Problem
Prediction markets exclude users due to KYC friction and privacy concerns.
Approach
Patent-backed anonymous verification lets users participate without exposing identity or linking wallets.
What's next
Seeking pre-seed funding and design partners for private beta.
Other ventures
AnyBet
LiveA risk-free sports betting web experience for learning, engagement, and market UX research (no deposits).
Problem: New users fear losing money when learning sports betting mechanics.
Approach: Virtual tokens, live odds, and leaderboards create engagement without financial risk.
Status: Live — Expanding markets and refining UX based on user research.
TrustPeer
Pre-launchAI-scored, pay-to-connect platform that lets users reach verified influencers through compatibility-matched private conversations — quality over quantity, transparency before the paywall.
Problem: The creator economy is a one-way megaphone: fans can't reach the influencers they admire, and influencers can't separate genuine supporters from spam.
Approach: AI-powered DeepScore™ shows compatibility before payment, paid requests filter for intent, and accepted matches unlock a 30-day private chat. Unanswered requests auto-refund. A separate Vouch mechanic lets fans signal real support with money on the table.
Status: Live website with iOS and Android apps in final pre-launch — Laravel API, Flutter mobile, Next.js web, Stripe payments, GPT-4-driven matching. — Public iOS / Android launch and onboarding the first cohort of verified influencers.
Prizely
LiveA blockchain- and AI-powered engagement platform reshaping marketing and entertainment for hospitality — sponsor-funded cash prize draws that turn real in-venue spend into transparent, independently verifiable rewards for real customers.
Problem: Brands burn ad spend on impressions that never translate into in-venue visits, and venues struggle to make loyalty feel exciting instead of transactional.
Approach: Brands and venues fund real cash prize pools. Customers scan a QR code in-store, upload their receipt, earn Local Points (1 LP per £1), and convert them into tickets for the draw — fully free for the customer, fully attributable for the sponsor.
Status: Live on the App Store — iOS native app with active venues, brand-sponsored pools, and a blockchain-backed transparency ledger. — Scaling venue partnerships across the UK, onboarding brand sponsors for cross-venue campaigns, and expanding the public transparency ledger.
What I'm looking for right now
Building something meaningful takes the right people. Here's how you might fit.
Investors
Pre-seed and angel investors interested in privacy infrastructure and trust systems.
Partners
Companies exploring pilots or integrations for privacy-preserving verification.
Mentors & Advisors
Experienced founders, operators, or domain experts willing to share guidance.
Co-founder candidates
Technical or commercial builders excited about privacy, blockchain, and AI.
Frequently Asked Questions
Common questions about my work, projects, and approach.
Yes, all three names refer to the same person — the founder behind this website. Mohammad Keshtkar, Mohammadamin Keshtkar, and Mohammad Amin Keshtkar are different variations of the same name. You can see his photo at the top of this page. Whether you searched for Mohammad, Mohammadamin, or Mohammad Amin, you've found the right person: a technical founder focused on privacy-preserving verification, blockchain, and AI.
A privacy-preserving prediction market allows users to make forecasts and trade on outcomes without exposing their identity. Using techniques like zero-knowledge proofs, participants can verify they meet eligibility requirements (age, location, compliance) without revealing personal data or linking cryptocurrency wallets.
Mohammad combines blockchain for trust and transparency with AI for intelligent insights. Blockchain provides immutable records and decentralized verification, while AI enhances user experience through smart filtering, prediction assistance, and automated analysis — all while preserving privacy.
The European Patent Office (EPO) confirmed patent enables users to prove eligibility or verification status without exposing personal identity. This technology allows wallet-free onboarding to blockchain services, anonymous compliance checks, and privacy-preserving KYC that meets regulatory requirements.
Prizely is a blockchain- and AI-powered engagement platform reshaping marketing and entertainment for hospitality. UK venues — pubs, bars, cafés, restaurants — and the brands that sponsor them fund real cash prize pools that activate real customers at the moment of purchase. After buying something at a partner venue, customers verify the visit in the Prizely iOS app, upload their receipt, and earn Local Points at a rate of 1 LP per £1 spent; ten LP converts into one entry ticket for that venue's active prize draw. Customers never pay money — the prize pot is funded entirely by sponsors. Every ticket entry, draw, and winner is recorded on a public, blockchain-backed ledger so participants and sponsors alike can independently verify the result.
AnyBet provides a complete sports betting experience using virtual tokens. Users get real-time odds from actual markets, can place bets, track results, and compete on leaderboards — all without financial risk. It's designed for learning betting mechanics and entertainment.
TrustPeer is an AI-matched, pay-to-connect platform between users and verified influencers. Before paying for a connection request, a user can answer a short questionnaire and see a free DeepScore™ — a 0-100 compatibility score generated by GPT-4 — that predicts how well-aligned they are with the influencer's audience and values. If the user proceeds with a paid request, the influencer reviews the score and either accepts (opening a 30-day private chat) or rejects. Unanswered requests auto-refund after 7 days. A separate Vouch feature lets fans tip influencers in £1 increments — public vouches show name and photo, private vouches keep identity hidden — adding a money-backed authenticity signal on top of follower counts.
Yes. Mohammad is actively seeking pre-seed investors for the privacy-preserving prediction market, strategic partners for pilot programs, mentors with relevant domain expertise, and potential co-founders passionate about privacy, blockchain, and AI.
Mohammad holds degrees in Physics, IT Engineering, and Computer Science Research, plus an MSc in Innovation, Entrepreneurship & Management from Imperial College London Business School. He has 8+ years of experience building and shipping web products as a full-stack technical founder.
Let's talk
Whether you're an investor, potential partner, or fellow builder — I'd love to hear from you.
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