The Tracxn AI Assistant is a natural language conversational interface that helps you interact with Tracxn's data more efficiently. Instead of navigating multiple workflows, configuring filters, or building complex search queries, you can simply ask a question in plain English and receive a synthesized response backed by Tracxn data.
The AI Assistant is designed to help users move from exploration to insight faster by combining conversational search, data retrieval, and workflow navigation within a single interface.
Key capabilities
Build lists using natural language
🔹 Create targeted company lists by describing what you are looking for in plain English.
🔹 Instead of manually selecting filters, you can specify criteria such as sector, geography, company stage, business model, or other attributes, and the AI Assistant will generate a relevant list of companies based on your request.
Conduct quick company research
🔹 Access company information without navigating across multiple pages.
🔹 The AI Assistant can surface company profiles, funding history, financial highlights, operational insights, and other relevant information in a single response, helping you evaluate companies more efficiently.
Compare companies and analyze markets
🔹 Run competitor comparisons and explore market-level trends through a conversational workflow.
🔹 Whether you want to compare companies within a sector or understand broader industry activity, the AI Assistant can summarize relevant information and present key insights in a structured format.
How the AI Assistant works
Ask questions in natural language
Enter your question as you would ask a colleague.
The AI Assistant interprets your request and identifies the relevant entities, metrics, and datasets required to answer it.
Reference specific entities
Use the @ symbol to reference specific companies, legal entities, or investors directly within your query. For example: @Nvidia, @Slack etc
This helps the AI Assistant understand the exact entity you want to analyze and improves the relevance of the response.
Receive structured responses
Responses are presented in a conversational format and may include:
🔹 Summarized insights
🔹 Key metrics and data tables
🔹 Ranked company lists
🔹 Comparative analysis
🔹 Market observations
The response format adapts based on the type of question being asked.
Continue your research
Each response may include suggested follow-up questions that help you explore related topics and continue your workflow without starting a new search.
Integrated platform navigation
The AI Assistant is connected directly to Tracxn workflows.
Where relevant, responses include links to associated List Pages and Detail Pages, allowing you to move seamlessly from a summarized answer to deeper analysis within the platform.
Share and export insights
Responses generated by the AI Assistant can be copied for reuse, shared with team members, or exported as PDF reports for documentation and collaboration purposes.
Few examples of the types of questions you can ask:
Which VCs have been most active in Environment Tech deals in Southeast Asia this year? |
List IPOs from UK FinTech companies between 2022 and 2025, along with their listing details and year-wise trends. |
Which are the top three geographies with the highest number of AI companies globally, and what percentage share is accounted for by the United States? |
Compare the funding history and investor base of leading cybersecurity companies. |
Show recently funded Enterprise Tech companies in Europe with more than 100 employees. |
Identify unicorns founded in the last five years within the Digital Health sector. |
Compare public and private market activity in the Climate Tech ecosystem. |
These examples represent only a small subset of the questions you can explore. The AI Assistant supports a broad range of workflows across company research, market intelligence, funding analysis, competitive benchmarking, investor discovery, and trend analysis.
Watch the video below to see how the AI Assistant converts a natural language query into a structured company list in seconds.