Upstream

Feature highlights

• Active Memory retrieval blends vector, keyword, and graph context before each AI response.
• CascadePipeline turns transcript analysis into evidence-backed positioning artifacts.
• Artifact generation ships battle cards, account briefs, summaries, and sequences with citation trails.
• Ingestion handles documents, pasted text, URLs, and web imports before extraction into the knowledge layer.
• Canvas and sprint planning surfaces feed insights back into the review queue instead of trapping them in siloed chats.

What the evidence shows

• Spans five connected GTM surfaces — ingestion, chat, artifact generation, canvas, and sprint planning — instead of a single point feature.
• Structures call and document evidence into a typed knowledge layer with confidence scoring and human review before it informs outputs.
• Routes context across features, so a transcript can flow into a positioning artifact without re-keying.
• The Upstream product site positions the platform as a GTM intelligence layer spanning calls, documents, and planning.

Sources