In the news.
Press: info@collectiviq.ai
FeaturedCollectivIQ launches AI workers for workplace roles
Coverage of CollectivIQ’s Digital Direct Reports and role-based AI workers designed to support modern workplace teams.
FeaturedCollectivIQ Tops Leading Frontier Models With 96.4% GPQA Diamond Accuracy Score
Independent benchmark results put CollectivIQ's consensus answer above every individual frontier model on GPQA Diamond, validating the multi-model approach.
FeaturedOne startup’s pitch to provide more reliable AI answers: Crowdsource the chatbots
TechCrunch examines why CollectivIQ combines leading AI models and how the platform grew out of Buyers Edge’s enterprise AI needs.
Lessons Learned From Watching 1,200 Employees Use AI Their Own Way
John Davie on what 1,200 employees did when handed AI with no guardrails, and how that shaped CollectivIQ's approach to governance and shared knowledge.
CollectivIQ Launches New Class of AI Teammates That Take on Real Business Roles
Launch of Digital Direct Reports: role-based AI teammates for project management, executive support, recruiting and engineering, working inside Microsoft 365, Jira and GitHub.
Exclusive: CollectivIQ targets AI costs with control platform
An in-depth look at CollectivIQ’s controls for model access, token usage, employee limits, and enterprise AI spending.
CollectivIQ announces tiered pricing controls for enterprise AI
New pricing tiers, spend caps, model controls, and usage visibility help companies strengthen oversight of AI adoption.
Why ‘Better’ Models Aren’t Solving AI’s Trust Problem
John Davie argues that stronger individual models alone do not resolve the enterprise trust gap around AI outputs.
The Real Cost Of Enterprise AI Hallucinations
John Davie examines how unreliable AI outputs can create avoidable business costs and decision risk.
Interview with CEO John Davie about the AI consensus platform
A wide-ranging founder interview covering CollectivIQ’s origins, technology, enterprise use cases, milestones, and long-term vision.
Major platform upgrades expand accuracy and collaboration
Platform enhancements broaden model choice, file support, generation capabilities, collaboration, and output quality.
CollectivIQ : quand l’intelligence (artificielle) devient vraiment collective
French-language coverage explaining CollectivIQ’s multi-model consensus approach and the company’s origins.
CollectivIQ aggregates 10+ AI models to beat hallucinations
Coverage of CollectivIQ’s multi-model consensus approach to improving answer reliability and reducing vendor dependence.
CollectivIQ launches its multi-model AI consensus platform
The launch brings responses from leading AI models together into one synthesized answer for clearer business decisions.