Assistly vs Rivault: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Assistly and Rivault — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Assistly

Freemium

A live meeting assistant for Mac and Windows that reads call audio locally and shows guidance in an overlay excluded from screen shares.

Bot-Free System Audio Capture: Works from your computer's audio rather than joining the meeting, so nothing appears in the participant list and there is nothing to integrate with the call app.
Screen-Capture-Excluded Overlay: The assistant window is excluded from screen capture at the OS level, so it stays visible to you and invisible in shares and recordings.
Auto-Assist Without Prompting: Detects when a question lands or when you think out loud and streams structured talking points into your thread automatically, with no hotkey and no break in eye contact.
Multi-Speaker Language Tracking: Separates your voice from other participants and follows who said what across dozens of auto-detected languages, even when the call switches language mid-sentence.
Two-Way MCP Context: Pulls context from Google Calendar, Notion, Linear or any MCP server during the call, and exposes your meeting history back over MCP so Claude, ChatGPT or Cursor can query it later.
Personas from Your Material: Builds a persona from your CV, docs and notes and switches modes for a sales call, client review or interview so responses match your background and phrasing.
Automatic Recap and Action Items: Turns the transcript into a summary with owners and deadlines the moment the call ends, auto-saved and searchable across sessions.
Per-Client Projects: Files each session to a project based on the calendar, and scopes answers and mid-call lookups to that client's history so context never crosses between accounts.

Live Sales Calls: Surfacing objection handling and product detail the instant a prospect asks, without breaking eye contact to search a doc.
Client Account Reviews: Recalling what was committed to a specific client in a previous session, with the source call cited, while the review is still running.
Non-Native Language Meetings: Following a call that switches language mid-sentence and receiving guidance in clear English.
Customer Success Handoffs: Leaving every call with a written summary and assigned action items instead of reconstructing notes afterwards.
Meetings Where Bots Are Unwelcome: Getting live assistance on calls with clients or legal teams who object to a recording bot joining the room.
Querying Past Meetings from Your Editor: Asking Claude, ChatGPT or Cursor what was agreed in a past session over MCP without opening the app.

Freemium

A zero-knowledge vault that lets AI agents request sensitive data on demand, unlocked by Face ID or passkey and redacted after each task.

Zero-knowledge Vault: Sensitive data is encrypted client-side so Rivault never has access to the underlying values by default.
Per-request Auth: Every agent access triggers a fresh authorization request that you approve with Face ID or a passkey.
Deterministic Redaction: Data is scoped to a single task and redacted from the agent's context after completion.
Agent-agnostic Integration: Works with chat-based AI agents and Computer Use Agents that automate browser or desktop flows.
Ownership of PII: Store SSN, payment info, phone numbers, and emails once and reuse without leaving copies in session logs or memory.
Biometric Unlock: Face ID or passkey approval keeps the human in the loop for every sensitive field release.

Agent-driven Bookings: Approve passport and card details on-demand when an agent books flights or hotels.
Automated Form Fill: Let CUAs complete government or insurance forms without leaving PII in browser logs.
Customer Support Delegation: Grant scoped access to account numbers when an agent handles a service call for you.
Recurring Task Automation: Reuse stored credentials across many agent workflows without pasting them each time.
Enterprise Agent Deployments: Add a consent + audit layer for teams deploying agents that touch sensitive employee or customer data.