Rivar captures the reasoning behind professional work, structures it so the firm can trust it, and makes it available when it's needed later.
Most professional judgment lives in conversations, emails, meetings, and the heads of the people doing the work. Only part of it ever makes it into formal documents.
Rivar pulls context from the systems teams already use — and from the people who still hold the unrecorded reasons.
Rivar pulls context from the tools your teams already use — email, documents, meetings, Slack, calendars — and from short conversations with the people who still hold the unrecorded reasons.
It turns that context into clear reasoning records. Each point has a confidence level and a direct link back to where it came from. AI can suggest; a person still has to approve before it becomes firm memory.
Instead of making people dig for it, Rivar brings the relevant prior reasoning into the tools they already work in. If there is no reliable answer, it says so and flags the gap rather than inventing one.
Example — answered:“Why did we stop using Mauritius holding structures for tech clients?” Rivar returns the recorded reasons, with sources and confidence levels, including what alternatives were considered and what conditions would make the firm revisit the position.
Example — no record:“What did the client say about the Ghana structure in the 2024 renewal?” Rivar states that no reasoning record covers this point and queues it for capture. It does not guess.
Every reasoning record is built from a consistent schema. Every important point has a confidence level, a direct link back to its source, and clear ownership of who approved it.
The result is institutional memory that stays with the firm — even when the people change.
Further to your note — we moved away from Mauritius structures for this client band in 2023.
Enforcement risk against a counterparty there could not be made comfortable after the regulatory shift, so we structured directly instead.
Instead of making people go looking for it, Rivar is designed to surface relevant prior reasoning beside the document or message they’re already working on.
The same link that makes a citation useful makes it traceable. Quote a rationale that rests on a restricted decision, add an external recipient, and Rivar says so before the message leaves.
Connect to Rivar through native integrations, the public API, webhooks, and custom connector support for proprietary systems.
Candidate reasoning becomes durable infrastructure only after review, approval, and attribution by authorized users.
Every important field can trace back to source evidence, so teams can inspect where a rationale, assumption, or authority claim came from.
Retrieve decisions by topic, team, person, timeframe, source, confidence, or relationship to other reasoning records.
Every record is attributable, versioned, permissioned, and auditable for enterprise review and compliance needs.
Tenant isolation, workspace boundaries, and role-based access controls are designed into the platform from the start. The security page sets out each control in detail.
Rivar is designed for enterprise deployment and developer extension through a stable, public API and event-driven architecture.
Rivar is in private early access with a small group of professional services firms. Applications are reviewed within 48 hours.