DeepMind AlphaFold vs AlphaSense
Comprehensive side-by-side comparison — features, pricing, performance, and more.
Trust & Reliability
DeepMind AlphaFold
AlphaSense
Overall Winner: DeepMind AlphaFold
7.7/10 vs AlphaSense at 6.8/10
DeepMind AlphaFold
7.7
avg score
AlphaSense
6.8
avg score
DeepMind AlphaFold leads overall — particularly in Value for Money and Customizability.
Overall Winner
DeepMind AlphaFold
DeepMind AlphaFold
AlphaSense
* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology
DeepMind AlphaFold is best for
AlphaSense is best for
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Pros & Cons
DeepMind AlphaFoldPros
- Provides highly accurate protein structure predictions
- Offers open access to a vast database of over 200 million structures
- Freely available for both academic and commercial use under CC-BY-4.0 license
- Includes open-source code for generating custom predictions
- Developed by Google DeepMind and EMBL-EBI, ensuring scientific rigor
Cons
- Database may not contain all desired protein structures, requiring custom prediction
- PAE files require programmatic analysis (Python) for raw data
- Search queries have specific requirements (e.g., min 20 amino acids for sequence search)
- The system still has some limitations in prediction accuracy for certain cases
AlphaSensePros
- Access to an unrivaled collection of proprietary and public data sources
- Purpose-built AI that synthesizes market intelligence with high precision and speed
- Unified platform eliminates fragmented research workflows
- Enterprise-grade security with end-to-end encryption and SOC 2 Type II compliance
- High citation accuracy rate (98%) ensures trustworthy insights
- Seamless integrations with internal document management systems like SharePoint and Google Drive
Cons
- Pricing is enterprise-focused, not suitable for individual users or small businesses without significant budget
- Requires integration and setup for internal content, which may involve IT resources
- No explicit mention of a free trial, requiring direct sales contact for access
- Focus is heavily on financial and business intelligence, less suited for general market research outside these domains
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Dimension Comparison
DeepMind AlphaFold
7.7
/ 10
AlphaSense
6.8
/ 10
Dimension Breakdown
Ease of Use
AIHow easy it is to get started and use daily
Output Quality
AIQuality and accuracy of generated results
Value for Money
AICost vs. features and output quality
Customizability
CalculatedAbility to tailor to specific needs
Support & Ecosystem
AIDocumentation, community, and support quality
Integration Power
CalculatedAbility to connect with other tools and workflows
Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology