About Eunice AI

EUNICE AI - Digital Asset Due Diligence and Compliance Platform

A product site for Eunice AI, an AI-powered due diligence and monitoring platform for institutional crypto players, regulators, and legal and compliance teams. Automated token classification, MiCA whitepaper workflows and continuous risk monitoring.

The buyer is a compliance officer operating under regulatory scrutiny, so credibility had to precede any product enthusiasm. The design leans institutional — restrained, evidence-led, with every claim attached to a number.

Key sections:

  • Announcement bar driving MiCA whitepaper enquiries straight to booking

  • Hero with product dashboard visual — due diligence and monitoring, 10x faster

  • Partner and exchange logo band

  • Three-pillar platform block: flexible and scalable to internal risk frameworks, institutional-grade data sourcing, regulatory-first alignment

  • Animated API and report visuals showing how output integrates into existing workflows

  • Token classification module — E-Money Tokens, Asset Reference Tokens, Securities, Other Digital Assets, with live token grids

  • Outcome metrics as section anchors: 90% cost savings versus alternatives, 92% reduction in data collection hours, 78% fewer false-positive high-risk events

  • Risk monitoring visual with live event counters

  • Testimonials from a UK Managing Director and a Chief Compliance Officer

  • Demo booking as the single conversion action

What was built:

  1. Full redesign and Framer build, responsive across desktop, tablet and mobile

  2. Animated product visuals — dashboards, API payloads, classification grids, event counters

  3. Metric-anchored section structure, each capability paired with quantified proof

  4. SEO targeting MiCA and crypto compliance search intent

  5. Calendly-integrated demo funnel

Note: this is the updated design! The version currently live on eunice.ai is a later iteration by the client's team.

The design that was done by me is here

Stack: Framer, custom animated components, scroll-driven reveals