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Relevance AI
Platform for building, running, and managing AI agents and multi-agent workforces at scale.
- Founded
- 2020
- Headquarters
- global
- Company size
- Not disclosed
- Products tracked
- 2
Products by Relevance AI
Customer voice
Customer testimonials
Quotes published on Relevance AI's official website.
It just felt like we had control in that platform to do stuff and set some guardrails and it was, you know, enterprise ready. And it just wasn’t another tool. It was something that was going to help us build like a workforce,
We were approving everything, like every email that was going out to all the leads at first, we would feed Toni five leads a day for the first week, then the following week it was 10 leads and there was 15 leads. We were just to get comfortable with what Toni was saying,
Instead of a conversation being, hi, could you provide me your invoice? We’ll run a review. It was, hi, we got your invoice. You spoke to my colleague Toni. The result is X savings. And it made for a much more fluid process and customer journey.
Pricing for Relevance AI
Subscription
This is the broad commercial model reported for Relevance AI. Product-level terms are listed below when available.
- Pricing model
- Subscription
- Entry option
- Free plan
- Starting price
- Talk to sales
- Entry option
- Free plan
- Starting price
- Start for free
Trust profile
Security and compliance
No compliance claims have been published for this company.
PII data masking
Latest updates from Relevance AI
New feature
Relevance AI Launches Evals for AI Agent Testing and Quality Monitoring
Relevance AI has introduced 'Evals,' an automated testing and evaluation feature for AI agents and workforces. The tool allows users to create scenario-based test sets, define custom evaluation criteria using 'Checks' (such as LLM performance, output content, and tool usage), and monitor the quality of live agent interactions through dashboards. Evals aims to provide a reliable command center for testing agent behavior and performance before deployment, with the ability to block publishing if evaluation scores do not meet predefined pass-rate thresholds.
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