Design improved protein variants with machine learning assistance
Cradle uses machine learning to help biologists design better proteins faster. It predicts how protein variants will perform, letting researchers optimize stability and activity without endless lab trials. The platform learns from each experiment, continuously improving suggestions to cut development time in half.
Create optimized protein sequences in just a few clicks
Simultaneously improve stability, activity, and other traits
Get score forecasts for generated variants before lab testing
Improves suggestions with each round of experimental data
This tool is best for:
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Recent data shows that Cradle has 45.7K monthly visits (52.5% increase from the previous month), 44.0% bounce rate, and average 2.07 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 17% of total traffic. SEO performance is shown by 5 tracked keywords, with "cradle" being the top-performing keyword with 48.1K monthly searches. See below for more info.
Monthly Visits
45.7K
Pages per Visit
2.07
Bounce Rate
44.0%
Average Time on Site
30s
| SEO Keyword | Volume | CPC |
|---|---|---|
| cradle | 48.1K | $0.70 |
| cradle bio | 1.2K | $3.22 |
| cradle ai | 1.9K | - |
| biotech series b scale up selling proteins to larger companies | 170 | - |
| ml reseracher cradle | 170 | - |
| Source | Traffic Share |
|---|---|
| Direct | 42% |
| Search | 43% |
| Social | 5% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 17% |
 | 10% |
 | 9% |
 | 9% |
 | 7% |
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