Architect Corner

artificial intelligence/machine learning

FOUNDING YEAR: 2016
LOCATION: India
Last Update: 01/05/2020

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About

AI Platform tracks users’ habits, activities, and behavioral characteristics. Financial data and products can be personalized to meet and anticipate each user’s unique and changing needs. Each user will have one’s own digital personal financial assistant. Artificial intelligence can help banks handle their compliance monitoring by creating a natural language processing system to read through the legalities of regulations and reassemble the words into a set of computer-understandable rules. IoT, AI, VR, AR, and bots technologies are changing the way data is created, collected, interpreted, and communicated. As businesses begin to rely more on data-driven Artificial Intelligence applications, the new applications lead to new business issues, security, and privacy concerns. Each bank also needs to have a transparent system for total auditability so one can see who did what, and when. Deep Learning platform users should identify erroneous or incomplete data to avoid misleading decisions.The new AI applications introduce a number of business, security and privacy issues which will have to be addressed.It will be important to ensure that these intelligent applications are developed in a way that they will provide the desired benefit and that the user can trust the advice and services provided. It will be important to be able to detect and isolate infected or malicious AI programs immediately, and develop the effective policy and laws for governing their development and use, so that personal information is safeguarded and not misused.

Focus

PRODUCTS & SERVICES

Predictive Analytics help financial services companies anticipate market shifts and customer needs. Data-driven management decisions at lower cost could lead to a new style of management, where future banking and insurance leaders will ask the right questions to digital assistant, rather than to human experts, which will analyze the data to come up with the recommended decisions that leaders and their subordinates will use and optimize their resources & funds for execution.By providing suggested outcomes in real time dashboards, the analytics have helped transaction bankers improve their decision making in the areas of risk, fraud mitigation, liquidity and collateral management. Consumer Personalized Services Automated financial advisors and planners that assist users in taking financial decisions. These include monitoring events and stock and bond price trends against the user’s financial goals and personal portfolio and making recommendations regarding stocks and bonds to buy or sell. These systems are often called “intelligent knowledge assistants”.

REVENUE MODEL

product license

PRIMARY PROBLEM SOLVED

Compliance, Cyber Security, Information Security, Privacy and Auditability

INTELLECTUAL PROPERTY

Patent(s) NOT_FILED

Traction

REVENUE

$100k - $499

NUMBER OF TRANSACTIONS:

100 K

TRANSACTIONS VALUE:

$100 K

ACTIVE USERS:

100

People

FOUNDERS

Bhagvan Kommadi

Lakshmana Ponnekanti

BOARD MEMBERS AND ADVISORS

Rakesh Bhatia

NUMBER OF EMPLOYEES

1-10

COMMENT:

Team consists of FinTech domain experts,technologists

Momentum

FUNDED

NO

LISTED

NO

For Investors

USES OF FUNDS RAISED:

1. Sales

EXIT STRATEGY

M&A

MONTHS LEFT WITH CURRENT CASH BURN RATE:

6 months from 27 Mar, 2017

Innovation Programs

BASICS

FOUNDING YEAR:

2016

LOCATION:

India

Views:

89 VISITORS | 182 VIEWS

About

AI Platform tracks users’ habits, activities, and behavioral characteristics. Financial data and products can be personalized to meet and anticipate each user’s unique and changing needs. Each user will have one’s own digital personal financial assistant. Artificial intelligence can help banks handle their compliance monitoring by creating a natural language processing system to read through the legalities of regulations and reassemble the words into a set of computer-understandable rules. IoT, AI, VR, AR, and bots technologies are changing the way data is created, collected, interpreted, and communicated. As businesses begin to rely more on data-driven Artificial Intelligence applications, the new applications lead to new business issues, security, and privacy concerns. Each bank also needs to have a transparent system for total auditability so one can see who did what, and when. Deep Learning platform users should identify erroneous or incomplete data to avoid misleading decisions.The new AI applications introduce a number of business, security and privacy issues which will have to be addressed.It will be important to ensure that these intelligent applications are developed in a way that they will provide the desired benefit and that the user can trust the advice and services provided. It will be important to be able to detect and isolate infected or malicious AI programs immediately, and develop the effective policy and laws for governing their development and use, so that personal information is safeguarded and not misused.

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Momentum+
Traction+
People+
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Innovation Programs

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Architect Corner

About

AI Platform tracks users’ habits, activities, and behavioral characteristics. Financial data and products can be personalized to meet and anticipate each user’s unique and changing needs. Each user will have one’s own digital personal financial assistant. Artificial intelligence can help banks handle their compliance monitoring by creating a natural language processing system to read through the legalities of regulations and reassemble the words into a set of computer-understandable rules. IoT, AI, VR, AR, and bots technologies are changing the way data is created, collected, interpreted, and communicated. As businesses begin to rely more on data-driven Artificial Intelligence applications, the new applications lead to new business issues, security, and privacy concerns. Each bank also needs to have a transparent system for total auditability so one can see who did what, and when. Deep Learning platform users should identify erroneous or incomplete data to avoid misleading decisions.The new AI applications introduce a number of business, security and privacy issues which will have to be addressed.It will be important to ensure that these intelligent applications are developed in a way that they will provide the desired benefit and that the user can trust the advice and services provided. It will be important to be able to detect and isolate infected or malicious AI programs immediately, and develop the effective policy and laws for governing their development and use, so that personal information is safeguarded and not misused.

Focus

PRODUCTS & SERVICES

Predictive Analytics help financial services companies anticipate market shifts and customer needs. Data-driven management decisions at lower cost could lead to a new style of management, where future banking and insurance leaders will ask the right questions to digital assistant, rather than to human experts, which will analyze the data to come up with the recommended decisions that leaders and their subordinates will use and optimize their resources & funds for execution.By providing suggested outcomes in real time dashboards, the analytics have helped transaction bankers improve their decision making in the areas of risk, fraud mitigation, liquidity and collateral management. Consumer Personalized Services Automated financial advisors and planners that assist users in taking financial decisions. These include monitoring events and stock and bond price trends against the user’s financial goals and personal portfolio and making recommendations regarding stocks and bonds to buy or sell. These systems are often called “intelligent knowledge assistants”.

REVENUE MODEL

product license

TOP PROBLEM SOLVED

Compliance, Cyber Security, Information Security, Privacy and Auditability

PRODUCT DEVELOPMENT STAGE

COMMERCIAL LAUNCH

KEY DIFFERENTIATORS

Natural language processing, machine learning, sentimental analysis

PRIMARY CUSTOMER TYPE

Enterprise - Banks or Financial Institutions

PRODUCT ATTRIBUTES

On-premises

Customer facing

STRATEGIC CLIENTS AND PARTNERSHIP

Fitech : Partner

People

FOUNDERS

Bhagvan Kommadi

Lakshmana Ponnekanti

NUMBER OF EMPLOYEES

1-10

KEY EMPLOYEES:

CEO, FOUNDER: Bhagvan Kommadi

FOUNDER: Lakshmana Ponnekanti

TEAM COMMENT:

Team consists of FinTech domain experts,technologists

BOARD MEMBERS AND ADVISORS:

Rakesh Bhatia

Momentum

FUNDED

NO

FUNDING COMPLETED

NO

LISTED

NO

FUNDING SERIES