3,000
Stocks
200+
Ratios and Multiples
1+ Billion
Datapoints
10+ Years
Historic Data
What Does SensaAI Provide?
Product Showcase
Return characteristics for a selection of our portfolios. Register for an account to subscribe to our predefined portfolios and/or create your own.
How do SensaAI Compare?
SensaAI fill the gap between low return passive exchange traded funds products and highly expensive active investment products.
Accuracy of Analysis | Passive Robo Investment N/A | The SensaAI Way
Accurate
| Traditional Active Investment Prone to human errors |
Adapting to Changes in Market Environment | Passive Robo Investment None | The SensaAI Way
Constantly learning from new data in real time
| Traditional Active Investment Slow to react to changes in environment |
Amount of Data Analyzed | Passive Robo Investment None | The SensaAI Way
Millions of data points and connections analyzed
| Traditional Active Investment Limited capacity to analyze data |
Cost | Passive Robo Investment Some ETFs can be inexpensive but robo-advisor adding additional layer of costs | The SensaAI Way
Relatively inexpensive
| Traditional Active Investment Very expensive |
Data Analysis Methodology | Passive Robo Investment None | The SensaAI Way
Modern machine learning algorithms
| Traditional Active Investment Archaic (e.g. Excel spreadsheets) |
Computer Hardware Needs | Passive Robo Investment Low | The SensaAI Way
Very high
| Traditional Active Investment Low |
Performance | Passive Robo Investment Underperformance vs. market equal to cost of ETFs and robo-advisors | The SensaAI Way
Potentially significant outperformance
| Traditional Active Investment Hit and miss. On average underperformance equal to high cost of active investment |
Rebalancing | Passive Robo Investment Depending on index methodology | The SensaAI Way
Programmatic rebalancing
| Traditional Active Investment Ineffective and slow rebalancing |
Speed of Analysis | Passive Robo Investment N/A | The SensaAI Way
Fast
| Traditional Active Investment Slow and time consuming |
Financial Fundamentals Augmented by Machine Learning
A strong mix of financial and technological knowledge applying modern machine learning technologies to fundamental financial analysis.
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