Ask Quivly
Natural language across your book
Type a question like you would in Slack. Quivly pulls all customer context in one place, including search across past chats so nobody has to redo the same analysis.
Hi there
Quivly pulls all customer context in one place, including search across past chats so nobody has to redo the same analysis.
Structured answers
From question to tickets, contacts, and next steps
The same thread surfaces tables, narrative, and suggested actions your team can run — still grounded in connected data, still review-before-send.
What's actually driving the health decline
Three open tickets, and two have been sitting for nearly 3 months— that's the problem:
Search & history
Jump back to any question you asked across accounts — the sidebar keeps context so your team is not re-explaining the same story in Slack.
App and Slack
Meet reps where they work: the same grounded answers in Quivly or threaded in Slack, with verification cues before anything customer-facing ships.
Grounded answers
Pull-through from your connected stack so responses cite real signals — not generic model prose. Copy TBD as you tighten positioning.
Next step
See Ask Quivly on your data model
Walk through search, history, and Slack handoff with our team — copy here is placeholder until you finalize the CTA story.
Book a demo





