[qodef_elements_holder holder_full_height=”no” number_of_columns=”two-columns” switch_to_one_column=”” alignment_one_column=””][qodef_elements_holder_item animation=”qodef-grow-in” item_padding_1367_1600=”0 0 0 100px” item_padding_1025_1366=”0 0 0 50px” item_padding_769_1024=”0 0 0 40px” item_padding_681_768=”0 82px 0″ item_padding_680=”0 0 0 15px”][qodef_single_image enable_image_shadow=”no” image=”5313″ image_size=”full”][/qodef_elements_holder_item][qodef_elements_holder_item animation=”qodef-element-from-fade” item_padding_1367_1600=”71px 150px 0 50px” item_padding_1025_1366=”45px 65px 0 50px” item_padding_769_1024=”0px 55px 0 20px” item_padding_681_768=”20px 82px 0″ item_padding_680=”20px 15px 0″][qodef_section_title type=”standard” position=”” title_tag=”h2″ title_font_weight=”” disable_break_words=”no” subtitle_tag=”h6″ subtitle_font_style=”normal” subtitle_font_weight=”500″ text_tag=”” text_font_weight=”” title=”Case Studies” title_color_words=”2″ text=”We’ve worked with amazing business and startups and helped make sense of their data. Below are some of the brilliant companies we have worked with over the past few years.” title_break_words=”3″ subtitle=”Some of our partners” subtitle_font_size=”12px” subtitle_color=”#01a2ff” text_font_size=”20px” text_line_height=”30px” subtitle_margin=”0 0 12px” text_margin=”22px”]
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“Extremely impressed with the level of sophistication”, “They know the measurement problem for machine learning inside out”
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Our customer is an investor on the stock markets, asked us to build an automated model to treat 8000 US stocks on a daily basis considering corporate fundamentals data for automated trading.
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Philosophy: While overall market data are random and hard to predict, there is a ~0.1% of it that has some regular behavior (what some people systematically do) and we wanted to retrieve and follow this regularity.
Maths: Feature engineering was the most time consuming, in order to make transformations to our data and in order to detect features with maximum variance and use them in order to reduce dimensionality.
Engineering: We implemented a modified version of clustering, that doesn’t suffer over-fitting and is non-linear by concept, fixing its coordinates in order to insure stability of convergence (commercial clustering suffer getting different output at every new run… yes).
Deliverable: A full interface allowing the customer to chose what corporate fundamentals to select for building their portfolio, getting machine learning to test historically their portfolio and list full comparison with market benchmark (SP500 for instance), connected it to US brokers yielding automatically 10% bi-annual returns live (portfolio available).
[qodef_section_title type=”standard” position=”center” title_tag=”” title_font_weight=”” disable_break_words=”no” title=”Kayan Health” holder_padding=”0px 0px 20px 0px”]
[qodef_section_title type=”standard” position=”” title_tag=”h2″ title_font_weight=”” disable_break_words=”no” title=”Problem” title_color_words=”5″ title_break_words=”3″]
Kayan Health were looking to empower their patients and provide them with access to their medical data and help them manage their own health.
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Kayan Health is a unified and integrated healthcare platform that enables patients to monitor their health and connect with their doctor when needed.
We worked with Kayan Health and built an artificially intelligent symptom checker that is setup in partnership with leading health-tech providers and designed a platform that integrates with wearable devices to bring the patient’s vital data into a secure patient profile, which then monitors their health and continuously learns from their behaviours to keep them informed and proactively connects them to a doctor pre-empting an emergency – before it happens.
In addition we developed a voice powered symptom checker that runs on Google Assistant and Amazon’s Alexa that allows patients to triage their own symptoms while conversing with the assistant.
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[qodef_section_title type=”standard” position=”center” title_tag=”h1″ title_font_weight=”” disable_break_words=”yes” subtitle_tag=”h6″ subtitle_font_style=”normal” subtitle_font_weight=”500″ text_tag=”” text_font_weight=”” title=”Get in touch” title_color_words=”3″ text=”Get in touch, it starts with a 30 minute call to better understand your initiative and propose the best approach to achieve the best goal possible.” title_break_words=”3″ subtitle=”LET’S CHAT” subtitle_font_size=”12px” subtitle_color=”#01358d” text_font_size=”20px” text_line_height=”36px” subtitle_margin=”0 0 3px” text_margin=”11px” text_color=”#666666″]
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