S-3 Research delivers Research-as-a-Service (RaaS) that combines human expertise with machine learning to produce actionable health and safety intelligence. Their S-3 Engine offers modular services—including whole‑of‑internet data collection, customized advanced analytics (NLP, supervised/unsupervised ML, deep learning), and interactive visual dashboards—tailored to complex public‑health challenges across social media, e‑commerce, and the dark web.
Funding
$499.8K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Public health and safety organizations often lack the capacity to continuously monitor and analyze vast, heterogeneous online data sources—including social media, search trends, e‑commerce platforms, and the dark web—to detect emerging risks and inform timely interventions.
Solution
S‑3 Research offers a Research-as-a-Service platform that combines human expertise with machine‑learning to turn raw internet data into actionable intelligence. Their S‑3 Engine provides modular services: (1) whole‑of‑Internet data collection across multiple online ecosystems, (2) advanced analysis using custom natural‑language processing, supervised and unsupervised models, as well as statistical, GIS, and policy analytics, and (3) client‑specific web dashboards for interactive visualization of insights. By delivering end‑to‑end data pipelines, the service enables clients to identify health and safety trends, assess risk exposure, and support evidence‑based decision making without building in‑house capabilities.
Target Audience
Primary customers are public‑health agencies, safety regulators, and commercial enterprises that need continuous, data‑driven monitoring of health and safety risks across online environments.
Features
- Multi‑platform data harvesting covering major social networks, search engines, e‑commerce sites, and dark‑web forums
- Customizable NLP pipelines and machine‑learning models (supervised, unsupervised, deep learning) tailored to specific research questions
- Integrated statistical, geographic information system (GIS), and legal/policy analysis modules
- Interactive, web‑hosted dashboards with real‑time visualizations and drill‑down capabilities
- Modular architecture allowing clients to select any combination of data collection, analysis, and visualization services
- Interdisciplinary research support, including mixed‑methods design and digital health application development