BAI Analytics

We are a managed feedback intelligence platform that helps customer experience teams, market research firms, and consumer-facing brands make sense of the customer signals scattered across their organization. Today, valuable feedback lives in disconnected silos: survey platforms, support tickets, social media mentions, app store reviews, on-site interactions, sales call transcripts, and CRM notes.

Most teams either ignore the majority of it or rely on manual tagging and shallow sentiment scores that miss the real story behind what customers are actually telling them. BAI changes that. We centralize feedback from every channel into a single, structured layer where each insight is fully traceable back to its source. Most feedback AI is a black box: insights go in, conclusions come out, and no one can explain how.

BAI shows you exactly which customers said what, when, and in what context, so every recommendation you bring to leadership, product, or clients is one you can actually defend with evidence.

Built on academic research from McGill University, HEC, and EPFL, BAI goes beyond keyword clustering and generic sentiment analysis. The platform surfaces emerging themes, quantifies their business impact, benchmarks performance against competitors, and flags shifts in customer perception before they show up in churn or NPS scores. For market research firms and CX consultancies, this means delivering deeper, faster analyses to clients without scaling headcount. For in-house CX teams, it means moving from reactive reporting to proactive intervention informed by real evidence.

We work as a managed service, not just software. Our team partners with yours to set up data pipelines, define the analytical framework around your specific business questions, and deliver insights in the format your stakeholders actually use. Headquartered in Canada and works with organizations across North America and Europe. Current clients include F1 Canada, RBC, Scale AI, and Innit.