ModuleQ

ModuleQ, established in 2011 by co-founders David Brunner and Anupriya Ankolekar, operates as an artificial intelligence firm targeting the enterprise sector with a focus on financial services, banking, and technology. The company's inception was driven by the founders' extensive backgrounds in technology and business. David Brunner holds a PhD from Harvard in Information, Technology & Management and a BS in Computer Science from Stanford, where he studied under AI pioneer Professor Edward Feigenbaum. Anupriya Ankolekar's fascination with the intersection of human work and technology was shaped by her upbringing with a technophile father who was also a business school professor. This foundation led to the creation of ModuleQ with the mission to develop AI that advocates for and augments human users, rather than exploiting them, a principle that led them to reject advertising-based business models.

The core of ModuleQ's business is a subscription-based AI platform designed to combat information overload for client-facing professionals. The company's proprietary "People-Facing AI®" and patented "Personal Data Fusion®" technologies form the backbone of its service. This system analyzes a user's work landscape by processing data from emails, calendars, and documents to understand their priorities and relationships. It then connects this understanding with both internal and public data sources to proactively deliver personalized, mission-critical insights. For instance, the platform can provide real-time account insights before a customer meeting, alert users to significant developments like press releases, or surface relevant internal content from a CRM. The service integrates directly into workflows via Microsoft Teams and Salesforce, operating within a client's own security perimeter on Microsoft Azure.

ModuleQ's solutions are aimed at delivering tangible business outcomes, such as accelerating revenue, improving employee experience, and increasing the return on investment from data and content subscriptions. For example, in investment banking, the platform assists with prospecting by tracking portfolio companies, aids in pitching by flagging new mandates, and helps sales teams by providing pre-meeting briefs. Strategic partnerships have been a key element of its growth, notably a collaboration with the London Stock Exchange Group (LSEG) to create LSEG AI Alerts for financial institutions. The company has secured $23.7 million in funding across 10 rounds from investors including Mistletoe and Refinitiv, enabling its development and market expansion.

Keywords: People-Facing AI, Personal Data Fusion, revenue acceleration, knowledge management, employee engagement, AI-driven insights, task prioritization engine, sales productivity software, enterprise AI, financial services technology, client intelligence, Microsoft Teams integration, Salesforce integration, LSEG AI Alerts, David Brunner, Anupriya Ankolekar, automated insights, contextual information delivery, pre-meeting briefs, personalized content delivery