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

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

Rivault

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.

Freemium

An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.

Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.

Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.