Sandscript AI — Investor One-Pager

Problem

• AI-powered scams (phishing, impersonation, deepfakes) outpace legacy filters.
• Compliance is fragmented — KYC/AML checks, screening and audits live in silos.
• Black-box models don’t satisfy boards or regulators — decisions need evidence.

Our Answer

• Real-time detection in email, messaging and web flows.
• Explainable decisions with rationales, lineage and exportable audit trails.
• Governed analytics — risk dashboards, anomaly alerts, policy guardrails.

Products

• DetectScam AI — Multimodal scam & fraud detection.
• ScamShield DBX (beta) — Public checker for messages, URLs, phone #s.
• AMLCheck AI (dev) — Automated KYC/AML with audit-ready decisions.
• SandPivot (dev) — Governed analytics, narratives & anomaly detection.

Domains: detectscam.ai • scamshielddbx.com • amlcheck.ai • sandpivot.com

Why We Win

• GRC-first design (not just cyber): auditability and policy are native.
• Explainable AI: every decision has reasons, scores and evidence.
• Fast pilots: days to value with lightweight integrations.

Market

• GRC software → $50B+ by 2030 (12–14% CAGR).
• Fraud detection → ~$65B by 2030 (≈20% CAGR).
• Our focus: AI fraud + GRC ≈ $100–120B global opportunity.

Traction & Roadmap

• ScamShield DBX — Open beta (public).
• AMLCheck AI — In development.
• DetectScam AI — Next quarter.
• Plugins & Integrations — +2 quarters.

Go-to-Market

• Public sector & education (community safety, campus fraud checks).
• Financial services & fintech (AML/KYC, fraud ops).
• Nonprofits & enterprises (governed analytics, risk dashboards).

Call to Action

• Pilots with universities, public agencies and fintechs.
• Data partnerships for model tuning (scam corpora, KYC docs).
• Investors & collaborators aligned with GRC-first AI safety.

Contact: hello@sandscript.ai • github.com/Sandscript-AI • scamshielddbx.com