The Future of Investing |
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.
Research Driven
Our method is grounded in fundamental finance principles, rigorous quantitative research with tested models and strategies.
Technical Knowledge
A passion for data science and a strong belief that machine learning can uncover tendencies in historical data more efficiently than could be done by humans.
Investment Experience
25+ years of experience of investing in financial markets across multiple asset classes.
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Whether you have a question about features, trials, pricing or anything else, our team is ready to answer your questions.
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