Crypto.com leverages Amazon Bedrock and Amazon SageMaker Studio to deploy a cutting-edge architecture that provides nuanced, domain-specific cryptocurrency market insights to its 100 million global users. Here's how they achieved this milestone:
Key Metrics
- 1 second: Time to return results from large language models (LLMs)
- 1 month: Time to integrate Claude 3 models
- 25 languages: Localized multilingual content delivery
- Rapid testing: Enables engineers to continuously evaluate new models
Overview
Crypto.com is a leading cryptocurrency exchange serving users across 90 countries. To enhance user experience, the platform implemented generative AI-powered sentiment analysis on AWS, utilizing:
- Anthropic Claude 3 LLMs via Amazon Bedrock for real-time sentiment analysis.
- Amazon SageMaker to fine-tune custom models for crypto-specific insights.
👉 Discover how AWS powers next-gen crypto analytics
Opportunity: Driving Crypto Adoption Globally
Founded in 2016, Crypto.com aims to make cryptocurrency accessible worldwide. Key challenges included:
- Scaling sentiment analysis for multilingual news sources.
- Reducing costs and improving accuracy beyond open-source models.
- Delivering personalized market intelligence tailored to user portfolios.
Quote:
"Generative AI on AWS streamlined our adoption of LLMs. We now move from POC to production in weeks."
— Sunny Fok, SVP of AI Innovation at Crypto.com
Solution: Hybrid Model Architecture
1. Amazon Bedrock Integration
- Deployed Claude 3 Haiku models for sentiment analysis in 25+ languages.
- Achieved 1-second response times for real-time insights.
2. Custom Model Fine-Tuning
- Used Amazon SageMaker and Amazon EC2 to refine models like Mistral AI and Meta Llama with proprietary crypto data.
- Ensured domain-specific accuracy for emerging coins and trends.
👉 Explore AWS's generative AI solutions for finance
Outcome: Enhanced Market Intelligence
- Faster insights: Bullish/bearish signals delivered in seconds.
- Higher accuracy: Improved performance in large-context queries.
- Scalability: Automated workflows reduce operational costs.
Future Initiatives:
- Processing documents/charts with Claude 3.
- Analyzing social media sentiment.
AWS Services Used
| Service | Role |
|---------|------|
| Amazon Bedrock | Hosts Claude 3 LLMs for sentiment analysis |
| Amazon SageMaker | Fine-tunes custom crypto models |
| Amazon EC2 | Provides scalable compute for model training |
FAQs
Q: How does Crypto.com ensure sentiment analysis accuracy?
A: By combining Claude 3’s multilingual capabilities with proprietary data fine-tuning.
Q: What’s the benefit of using Amazon Bedrock?
A: Eliminates self-hosting costs and offers API access to top-tier LLMs.
Q: Can users request personalized market insights?
A: Yes, insights are tailored to individual trading levels and coin holdings.
About Crypto.com
Singapore-based Crypto.com empowers 100 million users with trading, derivatives, and merchant partnerships to foster crypto adoption.
For more on AI-driven financial tools, visit AWS’s resources.
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