Case Studies

ChainAware's impact isn't measured in demos or pilots - it's measured in real outcomes for real protocols.

Below you'll find documented case studies from customers who have deployed ChainAware's AI-powered fraud detection, growth intelligence, and compliance tools in production. Results include hard metrics, implementation details, and the specific products used - so you can assess what's achievable for your protocol.


SmartCredit.io - DeFi Lending Platform

SmartCredit.io: 8x Engagement, 2x Conversions in 6 Months

Growth & AdTech Web3 Analytics 1:1 Targeting
8x User Engagement
2x Primary Conversions
6 mo Time to Results

SmartCredit.io, a DeFi lending platform, was struggling to convert connecting wallets into transacting users. By integrating ChainAware's Web3 User Analytics and Growth Agents via Google Tag Manager - a 30-minute, no-code setup - they segmented their audience by on-chain behaviour and delivered personalised messaging to each wallet type. The results transformed their conversion metrics within six months.

Read the Full Case Study

Rug Pull on PancakeSwap V2 - Data Study

Rug Pull on PancakeSwap V2: 20-Week Analysis, $569M Extracted

Rug Pull Detector V3 PancakeSwap V2 BNB Chain
$569M Extracted
103,695 Rug Pull Events
90.1% V3 Accuracy

ChainAware analysed 20 consecutive weeks of PancakeSwap V2 data in 2026, documenting 103,695 confirmed rug pull exits extracting $569M from retail holders. The study validated Rug Pull Detector V3 - which combines deployer wallet behavioural analysis with smart contract code inspection - against the live dataset, achieving 90.1% prediction accuracy. Up from 68% in V2.

Read the Full Analysis

More Coming Soon

ChainAware is actively documenting results from protocols across DeFi lending, DEX aggregation, token launchpads, and compliance use cases. If you're a ChainAware customer and want to be featured in a case study, get in touch.


Not sure which ChainAware products are right for your protocol? Book a demo and we'll walk you through the options.