Enterprise data architecture and applied AI for strategic institutions.
We engineer resilient data foundations—governance, semantic modelling, and automated pipelines—to deliver mission-critical analytics and applied artificial intelligence. Trusted since 2019 by ministries, state-owned enterprises, and corporations.
Demonstrated impact across national institutions.
Our track record underpins strategic digital transformations across Indonesia. We formulated the national digital health blueprint with the Ministry of Health and UNDP; unified the enterprise data architecture for state pharmaceutical holding PT Bio Farma (Persero) across 14 subsidiaries and 9 business value chains; authored national ISO/IEC 27001 information security risk assessment guidelines for the National Cyber and Crypto Agency (BSSN); developed the national energy monitoring data model for SPEND with USAID and the National Energy Council; and engineered BMKG’s climate data pipeline powering iklim.bmkg.go.id.
- Founded in Yogyakarta
- 2019
- Executives and civil servants trained & assessed
- 340+
- Holding subsidiaries unified in one architecture
- 14
- Strategic business value chains mapped
- 9
Integrated capabilities across the data lifecycle.
Each advisory service can be engaged independently to address specific operational bottlenecks or combined into a comprehensive transformation journey—from institutional governance to executive decision intelligence.
Architecture & Governance
Comprehensive enterprise data blueprints, institutional governance frameworks, and information security standards—establishing the structural foundation required for sustainable multi-year digital transformation.
02Modelling & Interoperability
Unified semantic schemas and standardized data exchange specifications—enabling interoperability across disparate enterprise applications, databases, and regional platforms.
03Data Engineering
Robust automated pipelines that transform fragmented, heterogeneous raw data into analytics-ready assets—engineered with automated quality controls, observability, and auditability at every stage.
04Readiness Assessment
An objective strategic audit conducted prior to capital allocation—determining whether your organization's data foundations, workflows, and talent are primed for enterprise AI adoption.
05Regulatory Compliance
Translating Indonesia's Personal Data Protection Law (UU PDP), OJK governance standards, and the SPBE framework into operational controls, enforceable policies, and defensible audit trails.
05 · Services Explore ServicesEffective AI requires a sound data foundation.
Most enterprise AI initiatives stall not because of algorithmic limitations, but because organizational data remains siloed, inconsistent, and without reliable audit trails. We adhere to a disciplined engineering sequence: establish enterprise architecture and governance first, align semantic modelling and system interoperability, automate data pipelines, and only then deploy advanced analytics and AI models. This disciplined foundation is why our engagements center on ministry blueprints and enterprise holding architectures rather than transient chatbot prototypes.
- 01
Architecture & governance
- 02
Semantic modelling & interoperability
- 03
Pipeline automation
- 04
Analytics & applied AI
Selected Track Record
A selection of strategic advisory and engineering engagements delivered for government ministries, public agencies, state-owned enterprises, and corporate clients.
View All Case StudiesNational Digital Health Transformation Strategy Blueprint
Ministry of Health of the Republic of Indonesia with the United Nations Development Programme 2022 · Data Architecture & GovernanceUnified Data Architecture for State Pharmaceutical Holding
PT Bio Farma (Persero) 2021 · Regulatory ComplianceEnterprise Data Architecture Blueprint & National Cybersecurity Risk Guidelines
National Cyber and Crypto AgencyBoard of Architects & Scientists
Led by three founders bringing complementary depth: applied AI research, cybersecurity and financial regulatory compliance, and national-scale data infrastructure.
About Us-
Krisostomus Nova Rahmanto
CEO & Chief AI Scientist
- M.Sc. Data Science, EURECOM
- S.Kom. Universitas Gadjah Mada
- Asesor BNSP
-
Victorius Elvino P. Sadipun
Commissioner & Chief Intelligence Architect
- Intelligence Manager, Mandala Multifinance Tbk
- Fellow Researcher, Citizen Lab — University of Toronto
- CCNA, JNCIA
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P. Yoga Pudijanto
Senior Director, Infrastructure & Industrial Data
- M.Eng. Computer Systems, RMIT Melbourne
- B.Sc. Electrical Engineering, The Ohio State University
- Dewan Hidrografi Indonesia
Ongoing applied research initiatives.
Applied research programs developed in collaboration with academic institutions and clinical specialists. Open for research partnerships and pilot innovation.
Sadasa Labs- 01
Automated Pathological Detection on Dental Radiographs
Applied computer vision research for detecting pathological findings on dental radiograph imagery, developed in collaboration with clinical specialists and faculty.
Active research - 02
Efficient LLM Support for High-Performance Computing Clusters
An LLM prototype delivering automated first-line technical support and troubleshooting for HPC cluster users.
Research concluded, open for collaboration - 03
Empirical Benchmarking & Evaluation Frameworks for Indonesian LLMs
Developing empirical evaluation frameworks to assess the factual reliability, hallucination rates, and regulatory precision of Large Language Models on Indonesian and mixed-dialect text.
Early research - 04
Structured Data Extraction from Complex Administrative Documents
Applied Document AI and intelligent OCR research to extract structured data from diverse Indonesian administrative documents and legacy scanned archives.
Active research
Let’s discuss your data challenges.
Our initial discussions focus directly on your core operational bottlenecks and strategic targets. We welcome an open dialogue with no initial obligation.
Matur nuwun.