AI and analytics automation for financial institutions

Financial Data Science

Financial institutions are increasingly turning to AI, data science and analytics automation in their quest to stay competitive in Indonesia's rapidly evolving financial landscape. Supertype is trusted by leading banks and financial institutions in Indonesia, with a near 100% client retention rate.

We develop AI automations for the financial industry.

Financial AI & Data Science Projects

Banks

For Banks and Financial Services

We help clients like Bank Rakyat Indonesia upskill their BRILiaN management trainees with Generative AI skills, building financial AI services that lead to better lending outcomes, improve risk management, and streamline back-office operations through Sectors-powered AI automation.

Regulatory

For Regulatory Bodies & Central Banks

We develop data and AI solutions for the Central Bank of Indonesia and the Audit Board of Indonesia, ensuring compliance with regulations while keeping a pulse on public sentiment and market trends.

Assets

For Fund Managers & Investment Banks

Supertype's AI automations are embedded in the investment workflows of Indonesia's leading investment banks and asset managers -- such as Trimegah Securities Asset Managenment -- helping them make data-driven decisions and optimize their investment portfolios.

Automated Financial Data Workflows

Indonesia Stock Exchange, a long-term partner and valued client, counts on Supertype to build complex analytics automation for their financial data reporting and market insights generation.
Read about Supertype's report automation service

Collaborating with Supertype for our integrated reporting project has been a transformative experience. Their deep understanding of data science has revolutionized our reporting processes, making them more efficient and insightful. Their team's commitment to delivering solutions that meet our requirements has been truly impressive. Thanks to their innovative solutions, we now have integrated reporting that saves us time and resources.

Arsyil Hendra Saputra
Indonesia Stock Exchange (Bursa Efek)

+95%

Efficiency Uplift

+10.5%

Accuracy Uplift

Pages per Minute

Data Architecture Consultancy

Employing the TOGAF (The Open Group Architectural Framework) framework, we design a data architecture that eliminates spreadsheet files and manual data processing from the existing structure and consolidate disparate data sources into a centralized database.

Data Migration to Database

Supertype introduces a process for migrating historical data stored in spreadsheet files into the database. Our analytics engineers then create the necessary Python scripts to prepare the data for downstream i.e the stock market statistical report.

Automated Report Generation

The adoption of Supertype Summary brings end-to-end automation to the reporting creation process while guaranteeing consistency in each iteration of its report. What used to take 10-20 days of work is now completed in under 120 minutes.

Real-time ETL Pipelines for Fiscal Policymaking

Bank Indonesia (central bank of indonesia)

The Central Bank of Indonesia (Bank Indonesia) appoints Supertype to build an end-to-end data architecture that empower it with real-time data insights for policy-making and economic analysis.

Supertype has proven to be more than capable in translating our needs and expectations. Through their work we were able to visualize the social media analytics and citizen's sentiment. Additionally, Supertype ensures a smooth knowledge transfer process to our team (Bank Indonesia).

Wahyu Indra Sukma
Bank Indonesia

99.9%

Labour Hours Reduction

14gb

Incoming Data Stream

121

Data Streams

ETL and Data Warehousing

Supertype built an automated pipeline to scrape all social media data (Facebook, Instagram, Twitter, YouTube) that are on Bank Indonesia's monitoring list, before cleaning, validating and storing the output on a private cloud storage (ETL).

AI-based Sentiment Scoring

We then build a sentiment analysis model robust to English and Indonesian (Bahasa Indonesia) text that is able to score sentiment of multi-lingual, or mixed language text across these social media platforms.

Enterprise-Level Access Management & API

In parallel, Supertype develop a token-based, authenticated API service to enable the client to query, build upon, and analyze the data stored in the cloud storage for further analysis (e.g temporal, textual, engagement, sentiment analysis etc.) in a way that is secured, language-agnostic, and highly independent.
An admin portal was also developed so Bank Indonesia can easily moderate access to its data storage, provision new accounts for its web app, and implement administrative duties and permissions from a user-friendly interface.

The Banking Sector is Evolving with AI

Facing increasing competition from fintech companies and digital banks ("neobanks"), traditional banks are under pressure to innovate and digitize their operations. Supertype helps banks leverage data science, analytics, and automation to stay competitive in Indonesia's rapidly evolving financial landscape.

BRI taps Supertype for Generative AI training

Bank Rakyat Indonesia (BRI) is the largest bank in Indonesia by assets and among the largest by market capitalization. BRI partners with Supertype to equip its management trainee program (Data Management stream, BRILiaN) with Generative AI skills and the use of LLM (Large Language Model) for financial applications.

Wealth Management

Portfolio Optimization
Equity Research Tools
Automatic Insights Discovery
Reporting & Dashboards
Sectoral Market Analysis
Investment Services Value-Add

Banking Operations

Financial AI Development
Data Engineering Operations
3rd Party Data Integration
Financial API Development
Market Data Collection
Internal Data Analysis

New Banking Technologies

Microlending & Microfinance
Blockchain & Cryptocurrency
Open Banking
Generative AI for Finance
AI-based Search Engines