SciTheWorld
www.scitheworld.comWe are a Centre of Excellence laser-focused on the Algorithmization of businesses (the next step after Digitalization). We are pioneers in the usage of L in ML in Finance and leaders building the M in ML up to federated learning software (ours is the result of 7 years of development). As a result our turnaround is faster than that of BigTechs when creating ad-hoc software. We started off using algo trading tech in cyber security at one of the best retail banks in the world - our co-founders are sound experts in algo trading and internationally recognized innovators. We provide a number of services by mixing data science, data engineering and custom RPA across: - Finance: sales, wealth management, asset management, market making, execution, prop trading, central risk book, ACPM, risk management, compliance algorithmics, investor relations, treasury stocks management and contracts digitalization. - Energy: synthetic liquidity, trading strategies and risk management. - Govs: algorithmic international trade strategies (intel and advices). - Central banks: transformation advice (inc. CBDC and blockchain). - SMEs: end-to-end transformation towards utmost efficiency. Our M: - includes a native, state-of-the-art data science lab (inc. the state of the art in data simulation) - includes a native algo risk management and algo audit unit (awarded at CogX) - is built upon a set of modular pieces, based in Python and compatible with any other language (C++, Java...) - is a cloud service (yet cloud agnostic) hosted but can be delivered on-premise - is bespoke to each client (else, the Algorithmization seed of a company is compromised by our legacies) - is compatible with the client's on-premise model and infrastructure as well as that of a 3rd party (federated algorithmics) - reaches autonomous machines (ongoing self-calibration upon our advanced simulation) - is cyber-secured by design (any extra in cyber security adds value) info@scitheworld.com.
Read moreWe are a Centre of Excellence laser-focused on the Algorithmization of businesses (the next step after Digitalization). We are pioneers in the usage of L in ML in Finance and leaders building the M in ML up to federated learning software (ours is the result of 7 years of development). As a result our turnaround is faster than that of BigTechs when creating ad-hoc software. We started off using algo trading tech in cyber security at one of the best retail banks in the world - our co-founders are sound experts in algo trading and internationally recognized innovators. We provide a number of services by mixing data science, data engineering and custom RPA across: - Finance: sales, wealth management, asset management, market making, execution, prop trading, central risk book, ACPM, risk management, compliance algorithmics, investor relations, treasury stocks management and contracts digitalization. - Energy: synthetic liquidity, trading strategies and risk management. - Govs: algorithmic international trade strategies (intel and advices). - Central banks: transformation advice (inc. CBDC and blockchain). - SMEs: end-to-end transformation towards utmost efficiency. Our M: - includes a native, state-of-the-art data science lab (inc. the state of the art in data simulation) - includes a native algo risk management and algo audit unit (awarded at CogX) - is built upon a set of modular pieces, based in Python and compatible with any other language (C++, Java...) - is a cloud service (yet cloud agnostic) hosted but can be delivered on-premise - is bespoke to each client (else, the Algorithmization seed of a company is compromised by our legacies) - is compatible with the client's on-premise model and infrastructure as well as that of a 3rd party (federated algorithmics) - reaches autonomous machines (ongoing self-calibration upon our advanced simulation) - is cyber-secured by design (any extra in cyber security adds value) info@scitheworld.com.
Read moreCountry
City (Headquarters)
Madrid
Industry
Employees
11-50
Founded
2015
Estimated Revenue
$1 to $1,000,000
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Chief Information Officer and Co - Chief Technology Officer
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