Global Fintech Innovation Lab (GFIL) is a membership based ecosystem for joint creation, commercialisation and investment in global fintech innovation.

GFIL objectives

  • Building a globally connected ecosystem of fintech innovators, investors and corporate partners
  • Enabling innovation in financial services by connecting emerging fintech  and deep tech innovation with global market opportunities
  • Being the preferred platform for cross-border discovery, engagement and partnerships

Financial Institutions & Corporates

GFIL helps Banks/ FI/ corporate partners to execute POCs, develop and launch next generation solutions jointly with a curated, and dynamically managed, portfolio of fintech and deep tech startups.

Startups & Scaleups

GFIL helps selected fintech and deep tech ventures in developing their proposition for the BFSI vertical and access a plethora of commercial opportunities to expand the business globally.

Investors

GFIL provides investor partners an opportunity to invest in  quality curated deal-flow with “proof of market” supported by a commercialization platform.

Use Cases

Industry use case library provides a list of live solutions and areas of innovation that the Fintech Lab community is working on (Click on use case to expand, get in touch for additional use cases)

Context: NBFCs are increasingly becoming an active part of the lending ecosystem. However, they have limited access to traditional sources of customer data that banks are privy to (eg. transaction, payment history etc.). Thankfully, deep tech such as AI/ML  can be deployed to source alternative data from non-traditional sources (eg. social media, mobile, online payments etc.) to assess creditworthiness and extend credit to good borrowers despite absence of credit history. 

Ask: Solutions that use AI/ML to source and analyse hard (financial) and soft (behavioural) data from telcos, utilities, social media and other sources, that an NBFC can use for credit assessment

Category: Lending

Context: Traditionally it has taken banks between 3 to 5 weeks for “time to decision” for individuals, small business and corporate lending. Challenger banks with new digital model are able to reduce this ‘time to yes’ down to 5 minutes and time to cash to less than 24 hours. 

Ask: 

1. A digital solution that enables the bank to provide the individual, SME and corporate customers with an instant decision on facility granting to reduce the cost/time of loan approval and disbursal

2. A solution that enables credit assessment & underwriting through AI & Machine learning of transaction behaviors & unconventional data that covers end-to-end process of onboarding, disbursement & collection of loans,

Category: Lending

Context: Lenders should ideally price loans for risk but often lack the data to develop accurate risk assessment tools for risk based pricing. Consequently, blanket ‘one size fits all’ interest rates tend to be too high for ‘good’ borrowers, thereby resulting in  adverse selection. 

Ask: An AI based solution to analyse alternative data that can enhance the predictive power of existing credit scoring methodologies, and consequently enable the lender to offer risk-based pricing 

Category: Lending

Context: SMEs have been so far excluded from the traditional lending market due to the vicious cycle of non-existant credit history. As technology enables lenders to source alternative data for credit assessment, SMEs form a large customer segment that is attracting interest globally.

Ask: Solutions/platforms that help NBFCs to enhance their distribution capability, eg:

a) a significant SME customer base along with relevant information for credit assessment (online banking, payments/ business transactions data, credit bureau, social data etc.), and/or

b) credit scoring/predictive modelling capability to risk assess this segment

c) new channels to reach target segment

d) distribution partners in new markets

Category: Lending

Context: ‘New to credit’ individuals struggle to get loans from high street banks for lack of credit history. Ironically this keeps them in the vicious cycle of financial exclusion. Typical profile include self-employed individuals/micro SMEs in Tier 2/3 cities, gig economy workers, farmers/rural population etc.  However, NBFCs can now use technology to source alternative data for credit assessing these potential borrowers, thus bringing the ‘next billion’ in the fold of financial services.   Ask: Solutions/platforms that help NBFCs to enhance their distribution capability, eg:  a) a significant customer base of ‘new to credit’ individiuals along with relevant information for credit assessment (utility payments data, telco data, social data etc.), and/or b) credit scoring/predictive modelling capability to risk assess this segment c) new channels to reach target segment d) distribution partners in new markets Category: Lending

Context: Lenders need to take advantage of the latest advances in technology with regard to data analytics for credit scoring. There is immense potential in being able to use these technologies to enhance efficiency in the credit scoring process.

The Ask: 

1. Provide digital solution which allows Banks/NBFCs to process large quantities of diverse data to create more reliable credit scoring and credit profiles of borrowers, with the specific aim of increasing financing to segments such as ‘new to credit’ individuals, SMEs, corporates etc.

2. Provide plug and play solutions to gain more insights into its customers by using advanced technology such as  AR/VR/voice recognition to capture unique individual characteristics (eg. sentiment analysis, preferences, demographics etc.). The insighst will be used for enhancing customer profiling and engagement capabilities

Category: Lending

Context: Although the client onboarding journey is the first experience clients have with the bank,yet, it has widely been lengthy, complex and frustrating process for both clients and financial institutions. Digitisation and deep technologies have the ability to make this process smooth, interactive and intuitive.

Ask: Leverage technology to digitize client onboarding process for institutional clients (e.g. banks, brokers, funds, investors), satisfying internal policies, regulatory requirements (such as KYC, Anti money laundering, GDPR etc. ) and audit trail (document exchange, amendment, versioning and signing etc.)

Category: Onboarding

Context: The onboarding process within FIs requires not only sourcing customer information for KYC (and other policy/regulatory requirements) but also verifying it. The verification process involves cumbersome, time consuming tasks such as validating identity, address, employment details etc. Whilst a number of tech solutions exist that can automate the process of data collection from the customer, solutions geared at actually verifying the data are scarce.

Ask: Solutions for automating the process of validating the customer information received at onboarding

Category: Onboarding

Context: In order to provide superior customer experience, there is a need for AI-powered solutions that can be used by the bank to reinvent how it delivers customer experience. The solution should be able to enhance and leverage the customer experience by identifying customer needs proactively and automatic routing to the correct channels with a recommended proposition, and the ability to measure Customer satisfaction at each touch point.

Ask: Plug-n-play point solutions providing one or more of below features.

1. Omnichannel functionality
Customers can start, stop, and resume their journey across any channel of their choice

2. Available on multiply channels
Mobile, Online, Branch, ATM, Call Centre

3. Customer level onboarding capability
Customer profiles/information (central data platform)
Segmentation ability – Customer level pricing and Linking relevant Rewards

4. Single view of products
Holistic view and application of all products / Ability to speak to product platforms/systems across the Group
Products across retail, corporate, wealth – All product holdings

5. Streamlined digital application
Document loader / scanner (Minimum requirements)
Customer identity (password/finger print/facial recognition/mobile number)

6. Immediate activation of products
Instant gratification
Straight through processing

7. Automatic engagements / communication
Customer engagement plans 1,7,21,30,60,90 days

Category: Customer

Context: As cross-border payments continue to grow exponentially, Banks are looking to compete with money transfer services by offering low value cross-border payments facilitation. At the moment the more practical solution to enable cross-border transactions appears to be bilateral links between banks in countries. There are 3 major challenges: Outdated operational systems, Slow payment processing, Personal data privacy regulations

Ask: An innovative solution that enables cross-border payments and wallet transactions to happen instantly which will increase customer satisfaction, growth in number of transactions and volume of money transferred across different countries while overcoming the challenges of current operational systems limitations, slow processing of transactions, and compliance to regulations of data privacy.

Category: Payments

Context: The amount of paperwork that Banks/NBFCs/Insurers have to deal with to comply with internal policies and regulatory guidelines is overwhelming. There is a wide variety of data (structured/unstructured, text/numercial, handwritten/printed), in various formats (forms, invoices, financial statements etc.) that needs to be digitised and stored, extracted, analysed, reformatted etc. This has traditionaly been a very resource and time intensive exercise.

Ask: FIs are looking to automate their document management process covering functionalities such as digitization (from various paper forms), extraction, validation, analysis etc.

Category: Process Automation

Context: Fraud causes billions of dollars of losses to lending and insurance sectors. Technology makes it possible to detect fraudulent cases in advance deploying methods such as:
>cross-checking/validating information provided by the applicant against data from multiple sources (eg. employment status, identity etc.)
> spotting unexpected patterns in data (eg. utility payments/bank account activity etc.).
> recognising fraudulent insurance claims (eg. inflated claims, false incidents etc.)

Ask: FIs are looking for AI/ML based fraud detection solutions in areas such as identity, payments, insurance claims etc.

Category: Security

A large Telco in SE Asia is looking for cybersecurity partners to ensure that data compliance standards are maintained (e.g. around data security, access control, privacy etc.) while allowing the organisation to use the customer data for business insights.

Category: Security

Context: The process of selling and servicing of insurance products by insurers can often be manual-based and inefficient, resulting in a limited access to new customer segments. In spite of today’s mobile-first economy, the primary channels for life insurance distribution are face-to-face meetings or call centres, even if the leads were generated online.

Ask:

1. Implement direct-to-customer digital solutions where consumers can buy, use, pay for and claim for insurance on their mobile phone or any digital device, thereby lowering the cost of selling and servicing of insurance products.

2. Provide a modular, end-to-end digital platform for sales and distribution that can be easily integrated with partners’ platforms and across legacy systems.

Category: Insurance

Context: Insurance employees spend thousands of labor hours processing customer data for claims. The tasks include claims form input, incident documentation, accessing supporting documents (eg. medical reports, auto repairs) etc.

Ask: Robust automation technology that integrates internal and external data sources such as healthcare providers and  improves data-processing speed and accuracy.

Category: Insurance

Context: Policy lapses and early surrenders can occur whenever customers aren’t fully aware of policy benefits or forget that their premiums are due.​

Ask: A tool that provides data points or analysis to help us proactively and continuously identify customers that are at-risk for policy lapses and surrenders.

Category: Insurance

Context: Increasing digitisation has meant that enterprises and their customers are increasingly vulnerable to cyber attacks and frauds which can take the form of identity theft, phishing attacks, data breaches and other malicious means. Organisations need to implement robust frameworks to safeguard themselves and their customers from such attacks, deploy appropriate frameworks to assess their preparedness to deal with such attacks, and have the recovery mechanism to deal with any security breaches. 

Ask: Solutions and services package to implement cyber risk management framework including: 1. Risk Analytics & Insights 2. Cyber forensics 3. Data restoration 3. Service capability to enable recovery from data breaches

Category: Security

Context: Technology and data can enable insurers to make a granular assessment of risk, eg. exposure to crime for a particular location, web review of customer’s products, or nearest fire station for a particular property.  Ask: Leverage data and analytics to provide a granular risk assessment of the insured asset

Category: Insurance

Context: Traditionally, banks have held monopoly over their customer data, leading to limited choice of products and services to end consumers. With Open Banking, this is set to change as banks are being mandated to share this data via APIs with third parties, with a view to promote competition and hence better choice for customers. Banks are looking to turn this regulatory hurdle into opportunity, even in geographies where the regulations are yet to come, by partnering with Fintech to offer their APIs (data and payments) to third party developers. However, the banks often do not have a ready platform to allow them to test and experiment with the FinTechs before selecting the best fit, while FinTechs are overburdened with the procurement processes incurred each time they interact with the financial institutions.

The Ask: Create a digital platform that would reduce both time to market and investments needed by financial institutions to create and offer open APIs to facilitate industry standardisation and creation of innovative customer-centric solutions.

Category: Open Banking

Context: Financial markets, banks and financial institutions are harvesting, processing, storing and exchanging ever-increasing amounts of data.  Ensuring the right confidentiality, security and integrity of data is crucial for well-functioning financial markets The Ask:  1. Provide a solution that can help financial institutions / companies detect, identify, predict and prevent financial cybercrime. 2. Provide a solution to enable selective disclosure / sharing of sensitive transaction data to other identified parties in a secure manner, mitigating cyber security risks. 3. Provide a solution for efficiently implementing 3rd party API authorisation

Category: Open Banking

Advisory Board, Venture Partners & Mentors

Vishal Gupta

Vishal Gupta Co-founder

Kabeela.Life Ventures

Shipra Misra

Shipra Misra Co-founder

Kabeela.Life Ventures

Deepak Kasthwal

Deepak Kasthwal Venture Partner

Kabeela.Life Ventures

Mickey Bedi

Mickey Bedi Venture Partner

Kabeela.Life Ventures

Sudin Baraokar

Sudin Baraokar Global Innovation Leader

Kartik Dabbiru

Kartik Dabbiru Lead Product Owner - KYC & Internationalisation

Tide

Anu Honkalinna

Anu Honkalinna Co-founder & Board Member

Finland Fintech Association

Neeta Mundra

Neeta Mundra Banking & Financial Services Executive

Salesforce

Sumeet Pillai

Sumeet Pillai Venture Capital Professional

Amit Shah

Amit Shah Managing Director

Oaknorth

Featured Community Partners & Corporate Members

Kabeela Life Ventures

Kabeela Life Ventures CEO / Founder

Member name

Member name CEO / Founder

Member name

Member name CEO / Founder

Member name

Member name CEO / Founder

Penningtons Manches

Penningtons Manches CEO / Founder

DBS

DBS CEO / Founder

Fullerton India

Fullerton India CEO / Founder

Singtel Innov8

Singtel Innov8 CEO / Founder

Accenture

Accenture CEO / Founder

L&T Infotech

L&T Infotech CEO / Founder

NIIT Technologies

NIIT Technologies CEO / Founder

Axis Bank

Axis Bank CEO / Founder

RBL Bank

RBL Bank CEO / Founder

RBL Bank

RBL Bank CEO / Founder

Knowledge Repository & Resources

FAQs

Global Fintech Innovation Lab (GFIL) is a membership based ecosystem for joint creation, commercialisation and investment in global fintech innovation. 

This is a virtual programme focused on commercialisation and revenue growth – physical relocation is not needed.

In order to participate in the GFIL as a startup you must have a minimum $1mil in funding and/ or $100k in existing revenues, along with a demonstrable ability to deliver an enterprise grade solution

Corporate members are invited to join the GFIL by invitation only. Corporate membership is currently open to financial institutions, banks, insurers, NBFCs, channel partners (SIs and consultancies), and selected other corporates with interest in financial services innovation.