"We had a bit of a wake-up call about a year ago when we learned that if our employees are just using any various AI tools, or even their own license, it could be training on our company information. We could be essentially edging our competitor."
"We hated having to decide which employees deserved AI. What really made it worse, employees were complaining about hallucinated, biased answers. Sometimes it was really giving us flat, incorrect answers that made their way into PowerPoint presentations and cover presentations."
"The software searches for overlapping and differing information to produce a fused answer that is meant to be more accurate than those produced by each LLM on its own. All the data involved with CollectivIQ prompts is encrypted and deleted after use to maintain enterprise-grade privacy."
John Davie, CEO of Buyers Edge Platform, sought a better AI solution after discovering that employees using standard AI tools risked exposing company information to competitor training. Existing enterprise AI contracts were expensive, produced inaccurate results, and caused hallucinations that compromised work quality. Davie challenged his CTO to develop an alternative. CollectivIQ emerged as a spinout that simultaneously queries multiple large language models including ChatGPT, Gemini, Claude, and Grok. The platform analyzes overlapping and differing responses to generate fused answers with greater accuracy. All data is encrypted and deleted after use, ensuring enterprise-grade privacy protection.
#enterprise-ai-security #multi-model-ai-aggregation #data-privacy #ai-accuracy #hospitality-technology
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