ModuleQ

Name: ModuleQ
Brand: ModuleQ
Rating: 4.5 (26 reviews)

ModuleQ is an enterprise AI assistant that delivers workflow-relevant insights (news, research, CRM/context signals, and internal knowledge) into Microsoft Teams by inferring priorities from calendar, email, and other contextual signals and providing pre-meeting briefs, alerts, and recommendations at defined trigger points.

Est 2011|Valuation $62.8M|Raised $22.4M|3 Ref Customers

LinkedIn 2K|Web traffic 4K|FTEs 32|HQ Cupertino, California, US

MarketsAccount Research Investment Research & Market Intelligence Platforms

01Competitive Landscape

Narrative analysis

- ModuleQ vs Revenue.io: Revenue.io is an execution platform for calling, cadences, and coaching inside Salesforce; ModuleQ focuses on insights delivery (news/research/briefs) inside Teams. For dialer-driven productivity and call coaching, Revenue.io addresses different needs than ModuleQ. - ModuleQ vs Seismic/Highspot: Seismic and Highspot focus on enablement content lifecycle (creation, governance, tracking, training). ModuleQ emphasizes contextual delivery of insights and briefs rather than managing enablement repositories end-to-end. - ModuleQ vs Gong: Gong is designed around call and meeting capture for deal intelligence. ModuleQ's primary function is proactive news and market insights and meeting briefs rather than conversation intelligence. - Microsoft-native alternatives: Microsoft 365 Copilot and Viva Sales offer summarization, drafting, and workflow augmentation. ModuleQ attempted to differentiate by delivering proactive insights and by integrating domain-tuned content for financial services, but Microsoft’s platform advantages and ongoing development may affect differentiation.

Market adoption / trend signals

A market-data partnership demonstrates enterprise interest in Teams-embedded AI assistants for financial services.
Recent reporting that the vendor may have ceased operations indicates potential challenges in scaling or sustaining operations, which presents a significant adoption and continuity risk.

	ModuleQ	Revenue.io	Seismic
Starting Price	Quote-based	Quote-based	Quote-based
Best For	Teams-centric, proactive market/client insights and meeting briefs, particularly in financial services	Salesforce-native calling, engagement, and AI coaching; sales organizations focused on dialer/cadence needs	Enterprise sales enablement: content lifecycle, training, analytics, governance
Key Strength	Delivery of proactive briefs in Teams with workflow context; market-data partnership for financial-services content	Deep Salesforce-native telephony and real-time coaching; structured engagement workflows	Mature enablement suite with content governance and analytics at scale
Key Weakness	Relevance/noise and entity matching issues; limited public proof points; vendor viability risk	Not focused on market/news intelligence; platform complexity; quote opacity	Significant implementation effort; enterprise pricing and time-to-value

01Competitive Landscape

Narrative analysis

ModuleQ vs Revenue.io: Revenue.io is an execution platform for calling, cadences, and coaching inside Salesforce; ModuleQ focuses on insights delivery (news/research/briefs) inside Teams. For dialer-driven productivity and call coaching, Revenue.io addresses different needs than ModuleQ.
ModuleQ vs Seismic/Highspot: Seismic and Highspot focus on enablement content lifecycle (creation, governance, tracking, training). ModuleQ emphasizes contextual delivery of insights and briefs rather than managing enablement repositories end-to-end.
ModuleQ vs Gong: Gong is designed around call and meeting capture for deal intelligence. ModuleQ's primary function is proactive news and market insights and meeting briefs rather than conversation intelligence.
Microsoft-native alternatives: Microsoft 365 Copilot and Viva Sales offer summarization, drafting, and workflow augmentation. ModuleQ attempted to differentiate by delivering proactive insights and by integrating domain-tuned content for financial services, but Microsoft’s platform advantages and ongoing development may affect differentiation.

Market adoption / trend signals

A market-data partnership demonstrates enterprise interest in Teams-embedded AI assistants for financial services.
Recent reporting that the vendor may have ceased operations indicates potential challenges in scaling or sustaining operations, which presents a significant adoption and continuity risk.

	ModuleQ	Revenue.io	Seismic
Starting Price	Quote-based	Quote-based	Quote-based
Best For	Teams-centric, proactive market/client insights and meeting briefs, particularly in financial services	Salesforce-native calling, engagement, and AI coaching; sales organizations focused on dialer/cadence needs	Enterprise sales enablement: content lifecycle, training, analytics, governance
Key Strength	Delivery of proactive briefs in Teams with workflow context; market-data partnership for financial-services content	Deep Salesforce-native telephony and real-time coaching; structured engagement workflows	Mature enablement suite with content governance and analytics at scale
Key Weakness	Relevance/noise and entity matching issues; limited public proof points; vendor viability risk	Not focused on market/news intelligence; platform complexity; quote opacity	Significant implementation effort; enterprise pricing and time-to-value