The startup offers a client relationship analytics platform that integrates with enterprise communication channels to extract insights from extensive data generated by professional interactions. This technology enables sales professionals and client relationship managers to identify actionable research opportunities and enhance decision-making with data-driven business intelligence.
Funding
Funding not disclosed
Founders
Product
Problem
Sales professionals and client relationship managers often struggle to efficiently extract actionable insights from the vast amounts of data generated through their daily interactions. Traditional CRM workflows can be disruptive and fail to capture the full scope of client engagement, leading to missed opportunities and suboptimal decision-making. Ensuring compliance with regulations like MiFID II regarding research inducement further complicates the process of tracking and valuing client interactions.
Solution
FeedStock offers two AI-powered relationship intelligence platforms: Relata and Cortex. Relata transforms company relationships into actionable insights, empowering sales teams to make data-driven decisions and improve client engagement. Cortex automatically captures millions of research interactions, enabling firms to optimize research spending and mitigate MiFID II research inducement risks. Both platforms leverage complete automation and data-driven methodologies to provide a comprehensive understanding of client interactions, identify high-potential leads, and enhance business intelligence.
Target Audience
The primary target audience includes sales professionals, client relationship managers, and research analysts in financial services and other industries who seek to improve client engagement, optimize research spending, and enhance decision-making through data-driven insights.
Features
- Automated data capture from various communication channels, minimizing disruption to client-facing staff
- AI-powered analytics to identify key trends and insights from client interactions
- Relationship scoring to prioritize leads and opportunities based on engagement levels
- Identification of research inducement risks to ensure compliance with MiFID II regulations
- Integration with existing CRM systems for seamless data flow
- Customizable dashboards and reports for visualizing relationship intelligence
- Automated alerts for timely intervention and proactive client management