The rapid pace of LLM development requires constant testing and re-evaluation to identify the optimal model for each specific task.
Ensuring AI models can handle large, complex contexts (e.g., a multi-page research report) and pivot during a live interview remains a technical challenge.
Maintaining high performance and accuracy in high-stakes financial and corporate decision-making environments.
Opportunities Identified
Automating the entire research workflow, from identifying knowledge gaps to generating final reports.
Scaling proprietary content generation through the 'AI interviewer' to create unique, high-frequency datasets like monthly channel checks.
Expanding the platform's capabilities to serve a wider range of corporate and knowledge professional use cases beyond its core financial services base.
Leveraging AI to transform inefficient industry workflows, such as the time-consuming process of preparing for and conducting expert calls.