We are delighted to announce that Claude Sonnet 4.6 is now embedded within DoordaOnline, giving users a faster and more intuitive way to explore and interrogate data through a conversational chatbot.

Instead of relying solely on traditional searches, filters or predefined reports, users can now ask questions about the data in natural language. Claude Sonnet 4.6 interprets the request, works with the AI Chatbot available within DoordaOnline and returns relevant results through the same online interface.

This brings powerful AI capabilities directly into your’ existing data workflow—making complex datasets easier to navigate and useful insights quicker to uncover.

Ask questions in plain English

Large datasets can contain valuable intelligence, but finding the right information often requires knowing exactly which fields to select, how to structure a query and where to look.

The new chatbot simplifies this process. Users can describe what they want to find using everyday language—for example:

• “Show me companies registered in this postcode area.”
• “Find commercial properties linked to overseas owners.”
• “Which businesses in this location operate within the hospitality sector?”
• “Show me records that match these criteria.”
• “Summarise the main patterns in these results.”

Claude Sonnet 4.6 translates the request into a structured search of the relevant data. This allows users to move from a business question to a usable dataset without having to understand the underlying database structure.

Explore data more quickly

Traditional data analysis can involve moving between databases, spreadsheets and reporting tools. Users may need to run several searches before finding the information they need.

By embedding AI directly into DoordaOnline, we are reducing that friction. Users can begin with a broad question, review the response and then refine their search through follow-up prompts.

For example, a user could identify businesses in a particular location and then narrow the results by industry, company status, property type or another available attribute. This conversational approach makes data exploration faster, more flexible and more accessible.

Turn questions into downloadable results

The value of data does not stop when an answer appears on screen. Users often need to examine the results in more detail, share them with colleagues or use them within another business process.

Results generated through the DoordaOnline interface can therefore be downloaded or shared for further use. This creates a direct path from asking a question to obtaining a practical dataset that can support research, analysis, prospecting and decision-making.

Downloaded results can be incorporated into internal workflows, combined with an organisation’s own information or reviewed by teams using their preferred analytical tools.

Make complex data more accessible

Not every user is a data analyst—and they should not need to be one to benefit from high-quality information.

The chatbot provides a more approachable entry point into Doorda’s extensive data environment. By allowing people to interact with data conversationally, it helps a wider range of users investigate questions independently while reducing their reliance on technical teams for routine searches and extracts.

Experienced data users also benefit. Natural-language interrogation can accelerate early-stage exploration, help test ideas and make it easier to identify the most relevant records before conducting deeper analysis.

From data access to usable intelligence

Embedding Claude Sonnet 4.6 into DoordaOnline represents an important step in the evolution of our platform.

Doorda has always focused on bringing fragmented public and commercial datasets together, cleaning and connecting them, and making them easier for organisations to use. The addition of conversational AI builds on that foundation by helping users interact with the data more naturally.

The result is a simpler workflow:

1. Ask a question in plain English.
2. Refine the request through conversation.
3. Review the matching information.
4. Download the results.
5. Apply them to the task or decision at hand.

Whether users are researching companies, examining properties, identifying market opportunities or investigating connections across multiple datasets, they can now reach relevant information with fewer steps.

Claude Sonnet 4.6 is now available within DoordaOnline. Log in to start asking questions and discover a more direct way to turn data into actionable intelligence.