John Davie, the founder and CEO of hospitality procurement enterprise Buyers Edge Platform, wanted his company to benefit from the AI wave. However, when he looked at the available options, he was unsatisfied. His solution was to incubate a new company called CollectivIQ, based in Boston. This platform provides users with more accurate answers to their AI queries by showing responses that pull information from multiple models like ChatGPT, Gemini, and Claude, as well as up to ten others, all simultaneously.
When new AI tools first emerged a few years ago, Davie was excited about their potential and encouraged his employees to experiment with them. That optimism did not last long. He described a wake-up call about a year ago when the company realized that if employees used various AI tools or even their own licenses, those tools could be training on confidential company information. This meant they could inadvertently be giving an edge to their competitors.
Davie then explored more secure enterprise AI contracts, only to find expensive long-term agreements for large language models that often produced inaccurate information and hallucinations. He disliked the notion of deciding which employees deserved access to AI. To make matters worse, employees complained about receiving biased or hallucinated answers. Sometimes the AI provided flatly incorrect information that made its way into important presentations.
He challenged his chief technology officer to build a better solution. The result was CollectivIQ. This spinout created a tool that queries several large language models from companies like OpenAI, Anthropic, Google, and xAI at the same time. The software searches for overlapping and differing information to produce a fused answer designed to be more accurate than any single model could provide on its own.
The company claims all data involved with CollectivIQ prompts is encrypted and deleted after use to maintain enterprise-grade privacy. Davie, a self-described technology enthusiast, explained that he always wants the best tools for his team, but found nothing available that brought all the best AI models together into one cohesive platform.
CollectivIQ began rolling out the software internally to its employees at the start of 2026. The initial response was strong. Once Davie learned that many of Buyers Edge Platform’s customers were dealing with similar confusion or hesitation around adopting AI, the company decided to release the tool to the public.
The software was built using AI model enterprise APIs. CollectivIQ manages the token costs, and its customers pay based on usage. Davie hopes this flexible pricing model will help the company stand out in the crowded enterprise AI market by allowing companies to only pay for the value they receive without long-term commitments.
CollectivIQ has been fully funded by Davie so far. He plans to seek outside capital later this year. For Davie, the experience has been a return to his startup roots, nearly 28 years after launching his current company. He finds it fun and exciting to be back in a scrappy building phase, working closely with software developers on details like large language models and post-training, areas he was not originally trained in.