Kasava

Kasava is an AI product tool whose core purpose is to help product managers quickly generate product requirements documents and execution plans from existing materials. Its process is officially described as: reading your GitHub code, Gong call recordings, and Notion documents, then drafting a PRD; after you edit it, pushing action items to Linear or Jira and delivering them.

Main capabilities

• Material integration: bringing call recordings, research, and code together into one workspace, and clustering themes with AI assistance.
• PRD and plan drafting: starting from a single call recording to generate a one-pager in minutes; it can also draft Epics, tickets, and release plans.
• Code-aware Q&A: the chat feature can answer questions based on your repository, such as what was delivered last week, where the authentication code is, and why a certain Gong customer is dissatisfied, and will cite the corresponding commits, files, and timestamps.
• Call and competitor analysis: it can import Gong calls and competitor URLs, and cluster recurring requirements, bugs users keep encountering, and features competitors have recently launched.
• Delivery push: pushing action items to Jira, Linear, or GitHub with one click, generating requirement specs that are tightly scoped enough to be executed by Claude Code or Cursor; you can also hand the specs directly to Claude Code.
• Delivery review: evaluating each PR for size, risk, and actual changes, used to generate standup updates.

How to use it The official three-step process is:

1. Connect your stack: point Kasava at GitHub, Gong calls, and your documents, and it will read them in the background and build a unified index.
2. Ask questions or have it draft: ask what was delivered and where the code is, or submit a call recording to get a PRD drafted from real code.
3. Deliver from the plan: after editing the draft, push Epics and tickets to Linear, Jira, or GitHub, or hand the specs directly to Claude Code. The official emphasis is that you always remain in control, and "nothing gets sent without your confirmation."

Underlying mechanism and security notes It is officially stated that all connected repositories, calls, and documents go into the same parsing graph, and that chat, research, and planning all answer based on that graph, so each additional data source makes the answers more precise. The third-party vendors involved include: Claude, which is responsible for drafting PRDs, answering chat, and writing PR summaries; Voyage AI, which uses models trained for code rather than prose to embed repositories; and theThere are model calls run through the same service, tracked and priced per use. According to the official description, the provider processes your content to fulfill requests and opts out of provider training where control options exist; transmission uses TLS, and storage at rest uses AES-256.

Applicable scenarios The officially positioned users are product managers and R&D teams, and it is suitable for quickly turning customer calls into PRDs, codebase Q&A, competitor and requirements clustering, and pushing plans directly into R&D ticketing systems.

Limitations and information not provided The official page only mentions a 14-day Pro trial, per-seat billing, cancellation in two clicks on the settings page, and lists three tiers positioned for individual developers, growing teams, and large organizations (one of which is billed annually), but it does not give specific price figures or the feature details for each tier. Information on supported document platforms, meeting tools other than Gong, available languages, regional restrictions, and similar details is not yet provided.