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Top 5 Financial Services Angel Investors in Bangladesh in January 2026

Last updated: Jan 2026 A list of 5 angel investors that invest in Financial services startups based in Bangladesh. We rank investors based on the number of investments they made in Financial services companies from Bangladesh. We update this investor list every month.

Top 5 Financial Services Angel Investors in Bangladesh in January 2026

Investor	Financial Services Bangladesh investments
Razy Shah	1
Julian Shapiro	1
Ridwan Hafiz	1
Mohammad Maaz	1
kaniz Almas khan	1

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Investor list

Razy Shah

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Investment focus

Finance, Mobile Apps, Financial Services
Pre-Seed
Bangladesh

Portfolio highlights

Drutoloan — Drutoloan offers immediate and interest-free Digital Nano Loans to nano entrepreneurs in times of crisis or unexpected business possibilities via a mobile application that employs AI to speed the lending process and uses data as collateral.

Julian Shapiro is a Partner at Hyper and a Startup Investor at Julian.capital. He previously worked as the Founder of Demand Curve, a Columnist — Growth Marketing at TechCrunch, and VP of Marketing at Webflow. Julian attended Y Combinator.

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Investment focus

Software, E-Commerce, Information Technology
Seed, Pre-Seed, Angel
United States, Bangladesh, Pakistan

Portfolio highlights

DealCart — DealCart enables users to buy their favorite products in groups by allowing users to buy in groups and sharing deals on WhatsApp and other social media platforms.
Pogo — Unlock the power of your data to earn and save on shopping, finances and more. Download the Pogo app today to start earning and saving cash. 4.9 stars in the App Store.
Agroshift — Agroshift helps farmers sell their produce to businesses and consumers by providing a tech-enabled supply chain.

Ridwan Hafiz - Founder and CEO @ GoZayaan

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Investment focus

Finance, Mobile Apps, Financial Services
Pre-Seed
Bangladesh

Portfolio highlights

Drutoloan — Drutoloan offers immediate and interest-free Digital Nano Loans to nano entrepreneurs in times of crisis or unexpected business possibilities via a mobile application that employs AI to speed the lending process and uses data as collateral.

Mohammad Maaz

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Investment focus

Payments, Information Technology, EdTech
Pre-Seed, Seed, Angel
Bangladesh, Canada, United States

Portfolio highlights

Bonik — Bonik empowers small businesses with an easy-to-use app to create and run e-commerce stores independently. Download Bonik App and create your own online store for free today!
Travela — Travela makes accommodation simple. Find and book furnished rooms, apartments, hotels, resorts, and private villas anywhere in Bangladesh. Easy booking, trusted stays, and real support - all in one app.
Interactive Cares — Interactive Cares is a one stop virtual Edtech Platform for creating employability to 2.7 Million unemployed youth in Bangladesh & make them skilled through its integrated digital learning. Interactive Cares is working to create 1 M job placement by end of 2026.

Ceo

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Investment focus

Legal, FinTech, Legal Tech
Seed
Bangladesh

Portfolio highlights

Uqeel — UQEEL gives you access to a wide range of Lawyers, Chartered Accountants and Company Secretaries within the comfort of your own home. UQEEL digitizes legal, accountancy, consultancy and company secretary services, so you can access the most efficient delivery of the solutions you need.
Hishabplus — Hishabplus operates Android and IOS based apps that enable businesses to keep track of their financial transactions, credit information and accept payments online from different payment gateways.

Investors by industry

Artificial intelligence

Venture Capital

Food and Beverage

Financial Services

Mobile Advertising

Wine And Spirits

Enterprise Software

Renewable Energy

Machine Learning

Agriculture (agtech)

Media (entertainment)

Investors by country

Russian Federation

Dominican Republic

United Arab Emirates

Marshall Islands

Angel Investors in Bangladesh by industry

Food and Beverage

Financial Services

Artificial intelligence

Agriculture (agtech)

Media (entertainment)

Machine Learning