Built on large language models that work with your in-house knowledge to prepare client-ready deliverables
Revax connects to your existing software suites to embed and structure your in-house knowledge - making it instantly accessible through our deep research agent.
We've built a custom deep research agent that searches this embedded repository and external sources to find partner-approved wording and relevant legislation.
Client deliverables are drafted by frontier large language models from leading providers including OpenAI, Anthropic, and Google - ready for human review.
At the core of Revax is a custom deep research agent built to mirror the workflow of professional advisors.
It begins by searching your internal knowledge base, intelligently applying metadata filters and using semantic search to surface relevant precedent reports. A reranking layer with built-in recency bias ensures the most recent and authoritative deliverables are prioritised.
When internal knowledge is insufficient, Revax extends its search: it can read and interpret current legislation, and where appropriate, search the web to complement its findings.