Nonverbia

The tool processes video of sales conversations in real time or from recordings to detect micro-expressions, voice patterns, emotional tone, and body language indicators that research associates with interest, hesitation, disengagement, or intent to buy.

Sales reps and managers can see engagement scoring at the prospect level and identify which parts of a pitch resonated or created friction.

The platform targets B2B sales teams that conduct significant portions of their selling through video calls and want to improve conversion rates by understanding prospect psychology more precisely. Traditional call recording and conversation intelligence tools analyze what was said.

Nonverbia adds a layer for how prospects responded nonverbally, which can diverge from their verbal responses. A prospect who says they are interested but displays nonverbal disengagement during pricing discussion is a different risk profile than one whose verbal and nonverbal signals align.

Compared to Gong and Chorus, the leading conversation intelligence platforms, Nonverbia occupies a specialized niche within sales analytics. Gong and Chorus analyze spoken content, track deal momentum, and provide coaching based on conversation patterns.

They do not analyze facial expressions, micro-movements, or emotional tone at the nonverbal layer. Nonverbia is positioned as a complement to existing conversation intelligence rather than a replacement, adding the nonverbal dimension that verbal-only analysis misses.

Nonverbia integrates with major CRM platforms to log nonverbal engagement scores alongside deal records, giving sales managers visibility into prospect sentiment patterns across the pipeline without requiring manual review of call recordings. The integration means nonverbal data becomes part of the deal-level analytics that managers already use for forecasting and coaching decisions.