Automated Online Research

Streamline online research with AI-powered, multilingual agents

What is automated online research?

Automated online research is web research carried out by AI agents instead of people. You describe a research task, and AI research agents browse websites, news and reports, extract the information you asked for and summarize it.

Leverage AI-powered Research Agents to perform multilingual, parallel online research at scale

Save time and automate your online research. Define a research task, and a team of AI Research Agents will conduct extensive, iterative online research to gather the information you need. These agents can browse the web in multiple languages, analyze reports, read the latest news, locate specific data points, and summarize findings concisely. You can provide lists of entities—such as countries, organizations, companies, or cities—and the agents will systematically perform the research for each specified value, applying the task across all predefined variables in parallel in ways other solutions cannot.

Automated Online Research
  • Automate time-consuming web-based research
  • Easily define the research task
  • Explore websites, news sources, and documents
  • Operate across multiple languages and countries
  • Input lists of specified entities to be researched

How our customers have benefited

  • Accelerating sustainable urban transformation

    The United Nations Development Programme (UNDP) leveraged Dcipher Analytics’ Research Agent solution to identify global best practices and key performance indicators for sustainable and low-carbon central business district (CBD) development. Using AI-driven analysis, UNDP dramatically reduced research time, uncovering insights from 468 case studies and identifying 50 exemplary models to guide urban sustainability policies worldwide. Read the full case study

  • Mapping AI initiatives across Swedish municipalities

    AI Sweden leveraged Dcipher Analytics' AI-powered research agents to map over 1,000 AI initiatives across 263 municipalities, transforming scattered data into a structured, searchable database. This enabled detailed trend analysis and fostered cross-municipality collaboration, significantly reducing research time and effort. Read the full case study

Frequently asked questions

How much faster is it than manual desk research?

In large research projects, research cycles typically shrink from months to weeks. The agents do the searching, reading, filtering and summarizing across thousands of documents, including local sources in other languages, so your team can spend its time on the findings.

How is this different from a chatbot with web search?

A chatbot with web search answers one question at a time from the handful of pages it reads, and forgets them when the conversation ends. Dcipher's agents run the same research task for every entity on your list, such as hundreds of cities, companies or countries, in parallel. They filter out irrelevant pages, extract the data points you asked for and store everything in a knowledge base with links to the sources, so you can search, compare and rerun it later. UNDP used this to research 100 cities and produce 468 case studies.

Which languages can the agents research in?

Any language your sources are written in. For each country or region, the agents search and read in the local language, such as local news, government and company websites, so sources that never appear in English are included. Every finding links back to its original source.

What happens to the results?

The findings are stored in a knowledge base that you can search, analyze, visualize and turn into reports in Dcipher.

Can the agents read reports as well as websites?

Yes. Besides browsing websites, the agents analyze reports, read the latest news, locate specific data points and summarize their findings.

Ready to see it in action?

Book a demo and see Dcipher work on your own topic.