AI meeting assistant guides, comparisons and product updates

Sales teams can use OLVA during discovery, demos, and follow-up workflows with live transcription, question detection, AI Boost, document-aware answers, and recaps.

In a sales conversation, the important moments often happen live: a buyer asks a pricing question, raises an objection, mentions a competitor, describes a workflow, or asks whether a feature is supported.

OLVA helps sales professionals stay present while getting real-time support. It can transcribe the call, detect questions, prepare AI Boost answers, use document-aware context, and preserve the meeting for follow-up.

OLVA can use attached or uploaded documents to provide more relevant meeting answers, making live support more grounded in the user's own materials.

The best answer in a meeting is rarely generic. It depends on product details, customer notes, pricing, onboarding steps, implementation constraints, policies, technical documentation, or prior decisions.

OLVA supports document-aware assistance so users can bring relevant materials into the meeting workflow. When documents are available, OLVA can use them along with the live transcript to help prepare better responses.

AI Boost helps OLVA users handle live meeting moments with real-time answers, coaching, context, and follow-up support.

Many AI meeting tools create value after the meeting. OLVA also focuses on the live conversation. AI Boost is the layer that helps users respond while the call is still unfolding.

When a meeting creates a question, objection, decision point, or coaching opportunity, OLVA can prepare context-aware assistance without forcing the user to leave the conversation.

OLVA detects questions during meetings so professionals can respond faster with context-aware answers, coaching, and supporting information.

In many meetings, the most important moments arrive as questions. A buyer asks whether a product supports a workflow. A candidate asks about team process. A stakeholder asks for a timeline. A manager asks what changed since the last update.

OLVA is built to recognize these moments while the conversation is happening. Automatic question detection helps the assistant know when the user may need an answer, supporting context, or coaching.