Digital Automation Product using AI, Blockchain and IOTs for water remediation.

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Cloud based Cleantech product for the oilfield services industry. Purpose is to Manage the core nanobubbles technology process, feedback control, performance logging, and commercials, for a water remediation system using IOTs, Blockchain, and Artificial Intelligence. System uses IOTs as the front end and AI & Blockchain on the backend.

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AI is used to analyze the water quality data and perform predictions on the upcoming water quality which will then in turn be used to adjust the amount of nanobubbles technology and polymers to  be used to do the water remediation. 

Energy Storage as a Service (ESaaS) Building an innovative distributed renewable energy network that facilitates peer-to-peer energy transfer and settlement in areas of the world that are underserved by traditional energy grid infrastructure (in other words they are so remote, that energy grids cannot serve them). The network orchestrates the coordination of distributed energy resources (DERs) and storage devices, enabling local P2P trading and Energy Storage as a Service (ESaaS) within a self-sustaining microgrid. Network participants gain access to dependable energy, and are incentivized to store energy during grid availability, benefiting financially during periods of high demand or power shortages. 

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A modular distributed energy resource (DER) network effectively scales to offer consumers a reliable energy alternative, prosumers an additional revenue stream, and fosters a burgeoning ESaaS economy where participants store energy on behalf of others.

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Since these DERs will be built in areas that are away from grid infrastructure, in underserved areas, AI will be used for predicting demand, so as to be able to add capacity for both storage and transmission. AI will also be used for predictive maintenance of DER network assets, to reduce downtime especially at times of high demand

Our team helps one of the premier AI Educational Institutions in Europe to -

 

(a) mentor AI educational aspirants and AI product startups and

 

(b) to recruit Master’s and Doctoral program aspirants in AI programs at the world’s leading universities such as Stanford, Indian Institutes of Technology and MIT

Manage the Foreign Exchange Risk for Multinational corporations that have business in many countries and hence have revenues in multiple currencies. Foreign (Second Country) Currency Exchange losses occur when the revenues earned in the second country’s currency lose value against the baseline currency that the corporation operates with (e.g., US Dollar). This causes loss of already booked revenue, a problem that 50% of Fortune 100 companies do not know how to deal with.

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Our FoRiskManage system allows for the aggregation, quantification, and characterization of Foreign Risk of a multinational company’s worldwide revenues. Based on this, what-if scenarios are enabled to allow the Company Treasurer or CFO to decide how much of that Foreign Exchange Risk should be insured using hedging instruments that provide a hedge or insurance against Foreign Exchange value loss.

Artificial Intelligence is used to predict foreign (second country) behavior (gain or loss) against the US Dollar, using - 

 

(a) historical Foreign Exchange behavior data and subjective inputs such as

(b) weather,

(c) human factors such as war in the second country’s region or political climate in the second country,

(d) the projected economic performance of the second country, and

(e) the economic rating of the second country by global organizations such as S&P or Moody’s or Fitch.