Connect your call recorder, CRM, and other platforms through native integrations. Bring in additional data through API, webhooks, or data warehouse sync.

Calls and emails capture what buyers and sellers say. CRM records connect those conversations to deal progress.

Octave resolves speakers’ identities, then attributes what they say to entities in your context graph by connecting people to personas and companies to segments. It identifies the selling situation — for example, a prospect or existing customer, the offering under discussion, and whether the conversation is working toward a first purchase or expansion.

Buyers describe the same problem in different ways. Octave recognizes familiar concepts across those variations and connects findings to the relevant parts of your graph.

For example, each annotation carries context about the speaker’s persona, their company’s segment, and the next-most-likely affiliated entities in your context graph. The concept layer ties their language to the specific pains and capabilities your strategy describes.

Start with 150+ GTM extractors. Built-in extractors recognize B2B GTM concepts without manual training. For example, they can distinguish a competing vendor from an alternative, such as building in-house. They also run a second analysis pass when a finding warrants deeper investigation.

Add questions specific to your business. Use custom extractors to investigate questions such as which programming languages your prospects use, or which customers have expressed plans to buy Anthropic products or services.

Revisit past conversations when your strategy changes. If you add a product, refine a persona, or change your positioning anywhere else in your context graph, Octave can reannotate earlier conversations using the updated graph.

Octave uses the graph’s directional relationships to connect findings across buyer needs, offerings, and outcomes. This multi-hop reasoning helps you investigate questions that require several pieces of context.

For example: Do CMOs at financial services companies who describe a particular pain tend to object that their engineers could build the solution in-house?

Follow the reasoning and deep links to the relevant transcript passages. Explore pre-built reports in Octave, or use MCP to bring findings into custom dashboards and reports in Claude or Codex.

Octave continuously examines incoming conversations and deal activity to distinguish isolated remarks from recurring patterns. And it always compares your context graph — which captures your beliefs about your GTM strategy — to reality.

When Octave detects a possible shift in buyer sentiment, or a large deviation from your context graph, it gathers supporting evidence. Findings that meet significance thresholds are surfaced for review.

Suggestions in Octave turn those findings into proposed updates to your context graph. For example, if CMOs repeatedly mention a competitor your graph doesn’t cover, Octave can flag the gap and draft an addition.

Authorized teammates approve or reject Suggestions through Slack, Claude, Codex, or the Octave app. Your strategy evolves with evidence, while your team controls what changes.

Octave also monitors competitor news and market trends, including developments in your customers’ industries.

For example, when a competitor launches a capability, Octave can flag it for your team and suggest an update to that competitor’s entity, including recommended counterpositioning.

Connect external signal to your internal buyer conversations to understand whether a change matters in your deals, which audiences care, and how your team should respond.