We pair INDEF's macroeconomic credibility with a proprietary AI engine that crawls social media, online news, and e-commerce — turning 10M+ daily conversations into policy-grade insight, dashboards, and decisions.
From always-on data feeds to bespoke research, advisory work, and autonomous AI agents — every offering runs on the same crawler, the same AI engine, and the same INDEF economists.
Always-on listening to Indonesian society through the internet — 24/7. Every signal our crawler collects is processed in real time by the AI engine and surfaced as live dashboards or feeds you can query.
Large-scale analyses compiled into deliverables — flagship IKON quarterlies, sector studies, public-policy briefs, and academic partnerships. One-off depth, validated by INDEF economists.
Strategy and architecture for institutions becoming data-driven — paired with the workshops that turn the strategy into capability inside your team.
Intelligence that doesn't wait for instructions — AI agents built on our live data engine that monitor, decide, and act on your behalf, around the clock.
Internet Crawler → AI Engine → Report & Dashboard. Trend identification, sentiment analysis, top buzzwords, emotion detection, bot detection, social network analysis — purpose-built for the Indonesian internet.
The Public Voices Listening Platform monitors topics, detects anomalies (early-warning), reads sentiment & emotion, and surfaces real public voices once bots and buzzers are filtered out.
The E-Commerce Intelligence Engine profiles products, prices, sellers, reviews and sales across Shopee, Tokopedia, and beyond.
The Threat Prediction module combines NLP text classification, entity extraction, and date/event extraction — anticipating Ancaman, Tantangan, Hambatan, Gangguan.
Twelve years of work for the institutions setting Indonesian policy. A small selection.
Working from 10M+ political tweets — first filtered for bots and paid/fantastic accounts — our methodology combined buzzer detection with sentiment analysis to identify candidate electability.
It outperformed every conventional quick-count survey including SMRC, LSI, Kompas, CSIS, and Puskaptis.
Analyzing Twitter, YouTube, Instagram and the top 5 news portals: conversation volume, sentiment, topics, user profiling, popular hashtags, location, and Key Opinion Leaders for every Banjir Jakarta event.
Sentiment analysis and emotion detection on Twitter conversations — identifying public satisfaction for every PUPR policy. Delivered as the Pusaka PUPR satisfaction report.
Combining social media, Google Trends, and BKKBN data to read how COVID-19 pembatasan and pelonggaran PSBB affected unplanned pregnancy across the country.
Using the E-Commerce Intelligence Engine to measure local-product penetration on Shopee, Tokopedia and beyond — plus monitoring of regulated commodity transactions.
Data and analytical services for Paramadina's big-data research program — sustainable fashion, Gen Z work choices, sharia banking awareness, and more.
Predicting Ancaman, Tantangan, Hambatan, Gangguan through public-conversation listening combined with NLP-based text classification, entity extraction, and event extraction.
The proprietary tooling behind every Continuum engagement — available as subscription, dashboard, or embedded into your decision flow.
Topic monitoring, early-warning anomaly detection, public-acceptance analysis, topic modelling, sentiment, emotion, and bot/buzzer detection — 24/7 from the Indonesian internet.
Continuum crawler → profile identification across Shopee, Tokopedia and beyond. Product data, price & sales data, review & rating data — ready for analysis.
An ML solution that anticipates Ancaman, Tantangan, Hambatan, Gangguan through internet data. Combines NLP text classification, date and entity extraction, future-event extraction, and threat-prediction scoring — delivered as a live dashboard.
A team that pairs INDEF's 40 economists — reading Indonesia since 1995 — with technologists who build and run the engine.
Economist and former legislator who built INDEF into Indonesia's most-cited independent research institution. The intellectual foundation behind Continuum's policy-grade methodology.
Monetary and financial economist with deep expertise in Indonesia's banking sector and macroeconomic forecasting. Anchors the research credibility of the Continuum engine.
Computer scientist with a decade of engineering and consulting experience across Indonesia's tech sector. Leads Continuum's AI client practice — from scoping data strategies to delivering insight that government and corporate decision-makers can act on. M.Sc. in Technology Management, Columbia University.
Has been inside Continuum's data engine almost since day one — growing from analyst to scientist over four years embedded in the firm's models and pipelines. Machine learning practitioner and former data science tutor at Rakamin Academy. The person who knows the numbers best.
40 economists — each in their respective field — contributing to the best solutions for Indonesia's economic and social problems since 1995. Plus a media network that amplifies every finding.
When digital signals aren't enough, our service extension runs surveys with n-sized respondent pools. Internet data + traditional methods, depending on what the question demands.
Engineers and data scientists from NUS, Universitas Indonesia, ITB, and other top-tier universities — building the crawler, the AI engine, and every dashboard in-house.
Analysis, sentiment data, and economic research from the Continuum engine. Open-access.
Banjir dan longsor yang terjadi pada akhir Desember 2025 hingga awal Januari 2026 kembali menimbulkan dampak besar di Pulau Sumatera. Sejumlah wilayah di Aceh, Sumatera Utara, dan Sumatera…
Tell us what question you're trying to answer — we'll come back with a method and a number you can act on.
