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 and data solutions for the financial industry.



Sectors Financial Data Suite
sectors by supertypeSectors is a financial data infrastructure that enable financial institutions to automate their data workflows, market research, and AI model development. Powering 500+ financial AI workflows since inception.
Financial API Workshops
sectors by supertypeAlumni consist of analytics leaders from 15+ leading financial institutions, including BCA, Bank Mandiri, Bank BRI, IDX Indonesia, RSM, Bank Permata etc. 1,000 in-person students and counting since June 2024.
Generative AI for Finance (5-chapter workbook)
sectors by supertypeWith more than 250,000 YouTube learners and 1,000 in-person live workshop attendees, we're invested in creating a practical guide for building generative, finance-oriented AI applications.

Financial AI & Data Science Projects

bank indonesia
bursa efek indonesia
ministry of finance
trimegah securities
bank bri
bpk ri

Automated Financial Data Workflows

IDX (Bursa Efek Indonesia)
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.

Project Manager
Indonesia Stock Exchange

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Efficiency Uplift

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Accuracy Uplift

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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.
IDX (Bursa Efek Indonesia)

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

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Incoming Data Stream

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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.
IDX (Bursa Efek Indonesia)
Bank Rakyat Indonesia

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

Frequently Asked Questions

What is financial data science consulting?
Financial data science consulting applies machine learning, analytics, and data engineering to financial problems — building the data infrastructure, models, and automation that banks, fintechs, and asset managers need. Supertype delivers this from the team behind Sectors, the largest financial data infrastructure in Indonesia, so the work is grounded in real market data rather than theory.
Do you work with banks and fintech companies in Indonesia and Southeast Asia?
Yes. We work with financial institutions, banks, and fintech companies across Indonesia and Southeast Asia, and have built data platforms for regional banks and public financial institutions. Our regional focus means our models and infrastructure account for local markets, instruments, and regulatory context.
What financial data science use cases do you deliver?
Common engagements include risk and credit analytics, market and alternative data pipelines, fraud detection, portfolio and investment analytics, automated regulatory and management reporting, and grounding LLMs and AI agents on financial data. We scope each project around your highest-value opportunity first.
How does your consulting relate to the Sectors platform?
Sectors is our financial data platform and API. Many financial data science engagements are accelerated by building on Sectors — using its IDX and Southeast Asian market data, company fundamentals, and filings as a ready-made foundation — but we also work directly with your own data and systems.