Choosing between Beam AI vs Relevance AI often comes down to whether you prefer developer-first point tools or a unified agentic platform that standardizes agentic workflows end-to-end. Both let you build AI agents and automate tasks, but the path to operating, governing, and scaling those agents differs. Below, we break down capabilities, time-to-value, integrations, security, and pricing so founders and operators can align the decision with concrete business goals.
Relevance AI provides a low/no-code environment to “recruit” AI workers using a Flow Builder, triggers, and tools—aimed at quickly wiring agents to apps and conditional logic. It highlights large integration coverage (Gmail, Slack, HubSpot, Notion, etc.) and is SOC 2 Type II compliant.
Beam AI is an agentic platform to build, deploy, and centrally manage production-grade AI agents across business processes—combining agent design, orchestration, and governance with first-class integrations and a security/legal foundation.
We evaluate Beam AI vs Relevance AI on how teams design agents, operate them in production, improve performance over time, connect to the wider stack, and reach first value quickly—without sacrificing compliance.
Building and Operating AI
Relevance AI: Teams configure agents in a Flow Builder with conditional branches, triggers (including API triggers), and app tools. This approach is strong for fast prototyping and task routing across apps.
Beam AI: Provides an AI agent platform that emphasizes central control—prototype agents, then promote to production with governance and oversight for multiple processes and teams.
Improvement over Time
Relevance AI: Iteration happens by refining flows, triggers, and instructions within the builder; it supports modular edits and expansion to sub-agents.
Beam AI: Focuses on repeatable agentic workflows and centralized oversight so you can standardize behaviors, audit runs, and evolve agents methodically as they take on more of the process.
Integrations and Ecosystem
Relevance AI: Markets “2,000+” integrations plus event triggers, enabling agents to act across a broad tool set.
Beam AI: Offers a growing integrations catalog designed for dependable automation in existing enterprise stacks (CRM, support, finance, ITSM, comms), with agent templates that connect to common systems out of the box.
Time to First Deployment
Relevance AI: You can start from pre-built agents in a Marketplace and customize via no-code components—useful for fast pilots.
Beam AI: Ships AI agents and templates plus a guided Platform experience; teams typically move from scoped pilot to production inside the same control plane.
Security and Compliance
Relevance AI: Publicly states SOC 2 Type II compliance and documents its security posture and Trust Center.
Beam AI: Documents encryption (TLS/AES-256) and data-processing controls in its security and data security page, supporting centralized oversight of AI agents aligned to enterprise data-handling expectations.
Want deeper context on agentic governance, model choices, and real-world operating patterns? Explore Beam’s agentic insights for hands-on implementation guides and stack discussions.
Relevance AI: As of September 1, 2025, pricing splits into two buckets—Actions (what agents do) and Vendor Credits (LLM costs). You can also bring your own model keys. This offers flexibility but adds moving parts to cost planning.
Beam AI: Takes a value-based, tailored approach—Beam evaluates each use case, so companies pay for what they actually use across workloads, models, and integrations, instead of rigid seats or tiers. Talk to sales for an exact quote.
Choose Relevance AI if you want a quick, tool-centric setup to connect apps with no/low-code flows, triggers, and large integration coverage—handy for departmental automations that mirror existing app logic.
Choose Beam AI if you’re standardizing AI automation at company scale—multiple agentic workflows, centralized control, and a platform built to operate AI agents as a reliable workforce across functions with clear oversight and integration depth.