Relevance AI
Build teams of AI agents that deliver human-quality work
- Operations & Processes
About Relevance AI
A data science platform for building AI-powered search and recommendation experiences. It provides capabilities to create embeddings, index data, run vector similarity searches and manage experiments. Teams use it to build apps that return relevant results and tailor content to users.
What Cakewalk Does With Relevance AI
Control who and which agents can access Relevance AI across the workflows it runs. Relevance AI connects to Cakewalk as an agent platform and accesses every connected app through one gateway address. Each action runs as the person who triggered it, checked against policy with an audit record.
Integration Capabilities
Relevance AI connects to Cakewalk through a single gateway address. From there it accesses the company's connected apps, with each request scoped to the person using it and checked against policy.
Use Cases
| Use Case | Description |
|---|---|
| One Security Layer for Every AgentAgent Platform | Connect Relevance AI once and it joins the same governance layer as every agent platform your team runs, under one audit log and policies you tune by person, app and action. |
| Each Person Gets Their Own AccessAgent Platform | When several people use Relevance AI, each one's agent acts with that person's own permissions, never a shared account. The same agent gives each person only the access they already have. |
Other Integrations
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