An honest comparison
SuperOrgs vs Relevance AI
Both help you put AI agents to work. Relevance AI is where you build and run a workforce. SuperOrgs is where you manage the agents you already have, built anywhere, alongside your people.
Same goal, different shape
One builds the workforce. The other runs it.
Relevance AI is a strong platform for building and operating agents inside one product, tilted at go-to-market teams. SuperOrgs is built for the job that starts once agents exist in more than one place: giving every agent a role, a manager, and a scorecard, and holding the whole fleet accountable next to your people. The two are complementary as often as they compete.
Side by side
How the two compare
Grounded in Relevance AI's public website. No scoring, just what each product is built to do, so you can see which fits your situation.
Relevance AI
SuperOrgs
Core job
A platform to build and run an AI workforce. You create agents inside Relevance with Invent, a no-code builder, or MCP, then run them.
A management plane for the agents you already run. You give each one a role, a manager, and a scorecard, then review the work in one place.
Where your agents come from
Built inside the platform. The agents, tools, and evals live in Relevance and run on its connectors.
Built anywhere. SuperOrgs connects to OpenAI, Anthropic, Copilot, Cursor, Devin, and your homegrown agents, then brings them onto one org chart.
Humans and agents
Pairs your domain experts with the agents they build, so people and agents achieve results on the same tasks.
Puts people and agents in one system of record. The same org chart, reporting lines, and accountability you already use for staff, applied to agents.
Who it is built for
GTM and high-growth teams, in its own words. Strong sales, marketing, and revenue playbooks, including a built-in BDR agent.
Anyone accountable for a mixed workforce across functions. The job is oversight of cost, output, and access, not building one team's playbook.
How you get started
Sales-led. The published pricing is enterprise and custom on a credits and actions model, with a free app trial.
Self-serve. Sign up free at app.superorgs.com/sign-up and start mapping your workforce today, or book a demo for a larger rollout.
Comparison based on Relevance AI's public website as of June 2026. SuperOrgs is not affiliated with Relevance AI. All trademarks belong to their respective owners.
Comparing other tools? See SuperOrgs vs Beam AI or browse all comparisons.
Which one fits
Pick the tool for the job in front of you
Reach for Relevance AI when
- You want to build a go-to-market workforce inside one platform, with no-code and MCP build paths.
- You need evals, autonomy levels, and model routing baked into the place agents are created.
- Your agents will mostly live in that one tool, and an enterprise, sales-led rollout suits you.
Reach for SuperOrgs when
- Your agents already come from several places and you need one org chart, one cost view, and one audit trail.
- You manage people and agents together and want the same accountability across both.
- You want to start today, free and self-serve, without a sales call to see value.
Questions
The honest answers
Is SuperOrgs a Relevance AI competitor?
They overlap, but they solve different halves of the problem. Relevance AI is where you build and run an AI workforce. SuperOrgs is where you manage the agents you have, no matter who built them, alongside your people. If all your agents live in one builder, that builder's tooling may be enough. If they are spread across vendors and homegrown projects, a neutral management plane is the missing layer.
Can SuperOrgs manage agents I built in Relevance AI?
That is the point. SuperOrgs is vendor-neutral. An agent built in Relevance AI sits on the same org chart as one from OpenAI, one from Cursor, and one your team wrote, each with a role, a manager, and a scorecard. You get one cost view and one audit trail across all of them.
Does SuperOrgs build agents for me?
No. SuperOrgs is the management plane, not an agent factory. Keep building agents wherever you build them best, including Relevance AI. SuperOrgs is the layer that runs, reviews, and accounts for the whole fleet.
What does Relevance AI do well?
A lot. It is a mature platform for building and running agents, with no-code and MCP build paths, evals, autonomy levels, model routing across providers, and a deep enterprise governance story. If your goal is to build a GTM workforce inside one product, it is a strong choice. SuperOrgs is for the different job of managing agents that already exist across many tools.
Can I start without talking to sales?
Yes. SuperOrgs is live and self-serve. Sign up free and start today, or book a demo if you want a walkthrough for a larger team.
See your whole AI workforce in one place.
However your agents were built, manage them like a team. Sign up free and start mapping your workforce today, or book a demo and we will walk you through it.