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Machine Learning

Risk Edge’s “Predictive Engine” is built specifically for Commodity & Energy businesses to help you understand hidden patterns, risks, and price trends so businesses can be understood as a whole, and not just in parts! The in-built models give you a simple, never-before view of your data!

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Market Edge

Market Edge is an AI-driven, web-based solution to apply analytics to price data of Commodities and Energy. With Machine Learning based forecasting, advanced visualizations and loads of technical analysis indicators and their finger-tips, Market Edge gives both Traders and Risk Managers an edge over many others in the market.

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VaR Edge

RiskEdge does valuation & risk (Value-at-Risk, Expected Shortfall) calculations for all your physical and derivative positions and across counterparties. Its’ Powerful Engine delivers accurate results fast, even with computation intensive methods like Monte-Carlo.

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Plan Edge

PLAN EDGE is an AI powered, Digital FP&A platform that provides instantaneous insights throughout the year with cognitive, machine learning capabilities and predictive analysis on past, present and future performances It allows CFOs to connect their planning exercise with people across divisions The solution contributes directly to better planning, and more agile decision making across the board.

WHY CHOOSE US

What We Do?

Risk Edge was founded in 2013, to fill a desperate need for scalable and configurable Analytics Solutions for Commodities and Energy industry. The Industry needed solutions that were truly built for their problems, used latest technologies to deliver massive & complex computational results fast. Risk Edge has done pioneering work in solving problems using Machine Learning and AI. By using latest advancements in software architecture and hardware, Risk Edge delivers solutions that enable decision making with high precision levels at blazing speed for its clients. 

List of

Global Clients

Products

Risk Edge Solutions

Software Products

Risk Edge has several software solutions and platforms for delivering custom-designed and powerful Machine Learning & Risk Analytics solution. Designed by a team of domain experts, we help companies predict variables like Yield, Demand & Supply, Defaults, Breakdowns, Risks and Prices, using Machine Learning Algorithms. Risk Edge also has one of the world’s largest free, online Derivative Pricing Libraries, and a Tweet Mining Engine.

Consulting & Training

Our Consulting practice designs and implements solutions related to Predictive Analytics, Risk Management, Software Development. With extensive knowledge in Energy, Commodities & Machine Learning domains, we have successfully executed several large consulting projects across the globe. Our Training vertical caters to custom requirements in Blockchain, Machine Learning and Risk Analytics.

Products

Risk Edge Solutions

Machine Learning

Apps to Solve Specific Problems

Risk Edge’s Predictive Analytics Apps allow you to solve a specific set of problems. These apps are generally very light, are built using the latest technologies.

Market Edge

Advanced Analytics on Commodity Data

MarketEdge is an AI driven web based solution that allows you to build advanced analytics on top of your global commodity and energy data.

VaR Edge

Energy & Commodity Risk Management Software

RiskEdge Software is a VaR (Value at Risk) based Commodity Risk Management System that provides Deeper Insights and Control on your business.

Plan Edge

Plan Edge is a web-based Planning & Analysis Solution that uses AI to give users instantaneous insights throughout the year


Anomaly Detection

Journal Entry Anomaly Detection Solution enables Internal Audit teams to use AI to detect old and emerging patterns in journal entries and flag those that deviate from a normal behavior.

Predict Edge

Predict Edge is a web-based solution that allows you to relate price and fundamental data using AI and forecast prices with greater accuracy

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6+

Countries from which Risk Edge served its clients

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Fast

Implementation done Right

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Latest

Technology used to build customised solutions

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Computations

done in-memory in real time

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USD 135 Bn

combined client revenues for the year 2019

Client Case Studies

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Using Machine Learning to Predict Machine Failures

Client is a large Renewable Energy Company with more than 4 GW of production capacity. Read Case Study

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Automating Market Risks and P&L Calculations

Client is a leading Agri-business operating in several countries. Read Case Study

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Yield Prediction for a Fortune 500 Agri Client

Client is a SE Asia based company who is one of the world’s largest producers of Oil Palm. Read Case Study

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Consulting to build a new Hedge Framework

Client is an India based company with business primarily in Crude Oil Refining and Marketing of products. Read Case Study

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Counterparty Credit Risk Software

Client is a large SE Asia based company trading in Oil and Oil products (including Gas Oil, Fuel Oil and Petrochemicals) and is a part of Forbes Global 2000 companies list. It has a huge sourcing requirement from thousands of Counterparties through multi-year contracts, which exposed the Client to Market & Credit Risks. Read Case Study

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Using Machine Learning (NLP) to build a Robo-Advisor

Client is a leading Global Forbes 100 Investment Bank with more than USD 700 bn in Assets under Management. Read Case Study

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Deep Learning : Journal Entry Anomaly Detection

Client is a Global Metals & Mining Company. Read Case Study

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Counterparty Credit Risk Software Implementation

Client is a large SE Asia based company trading in Oil and Oil products (including Gas Oil, Fuel Oil and Petrochemicals) and is a part of Forbes Global 2000 companies list. It has a huge sourcing requirement from thousands of Counterparties through multi-year contracts, which exposed the Client to Market & Credit Risks. Read Case Study

Latest

Whitepapers & E-Books

AI Use Cases for Energy and Commodity Trading Companies

E-Book – AI Use Cases for Energy and Commodity Trading Companies Real Use Cases in Artificial Intelligence and Machine Learning Artificial Intelligence has shown great potential over the last few years in solving myriad problems of companies. While most of the concepts and techniques have been available to us for the last couple of decades, it wasn’t until lately that …

Profit and Loss Attribution Analysis

Whitepaper: Profit and Loss Attribution Analysis P&L Analysis for a Linear and a Non-Linear Portfolio Most companies with a dynamic portfolio of assets usually analyze their daily / monthly P&L in great detail. One of the most commonly desired analyses is P&L Attribution – which can show the traders a breakdown of various factors which have affected the P&L. The …

Predicting Credit Defaults using Machine Learning

Whitepaper: Predicting Credit Defaults using Machine Learning For Counterparty Credit Scoring & Risk Management Imagine a Counterparty with a history of default, beginning to slip on its payments again; or a relatively newer Counterparty with steadily increasing exposures beyond company’s comfort levels. You’d want to see red flags on these and other such cases much before it actually hits the …

Who

Covered Us

Latest

Blogs

AI – Expectations vs. Reality

AI – Expectations vs. Reality Artificial Intelligence is an evolving and chaotic system – sometimes minor variations in expectations can give a dysfunctional result. We make assumptions for the machines …

Selecting AI Use Cases in Energy and Commodity Industry

Selecting AI Use Cases in Energy and Commodity Industry Artificial Intelligence (AI) has come of age in the past few years, doing several tasks from predicting frauds to driving cars …

An Invisible framework for Predictive Analytics

An Invisible framework for Predictive Analytics Predictive Analytics has gained tremendous significance over the last few years, and it’s only increasing by the day. Powered by Artificial Intelligence tools and …