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Apollo Space AI vs Relevance AI

Apollo Space AIApollo Space AI positions itself as the operating system for your company — a hierarchy of agents (a Chief of Staff, an outbound agent, a research agent, and more) that remember, act, and improve across your existing tools.

Relevance AIRelevance AI positions itself as "the enterprise platform for agents you can trust at scale" — a governed platform (SSO, RBAC, audit logs) for building an "AI workforce" that GTM and revenue teams deploy alongside human staff.

AT A GLANCE

At a glance: Apollo Space AI vs Relevance AI

Apollo Space AIRelevance AI
What it isThe operating system for your company — a hierarchy of agents that orchestrates work across the business, with named roles ready out of the box.An enterprise platform for building, deploying, and governing AI agents/agent "workforces," aimed at GTM/revenue/CS teams and enterprise IT buyers who need SSO, RBAC, and audit logs.
Autonomy modelFour escalating levels, from Suggests to Founder grade; core agents (Athena, Marcus, the Digital Twin) propose and wait for a human on money, external comms, and governance.Publishes its own 4-stage framework — L1 Assisted, L2 Copilot, L3 Autopilot, L4 Self-Driving — and pitches pushing customers into L3/L4; in the same post it candidly concedes its agents are "not fully autonomous or conscious entities" and still need human goal-setting and oversight.
Agent roles / teamsNamed roles out of the box — Chief of Staff (Athena), outbound (Marcus), research (Scout), a personal Digital Twin — plus a broader CMO/CFO/CTO/PM/SDR/QA roster; every agent can spawn sub-agents per task.No fixed personas — you build agents via a natural-language "Invent" flow, a no-code drag-and-drop builder, or MCP; Enterprise supports unlimited agents/tools/users/workforces.
Integrations (as stated by each vendor)300+ apps across 10 categories (AI, CRM, dev, comms, finance and more), named on Apollo's own integrations page.Vendor states "2000+ integrations/tools" on its own integrations page; third-party G2-derived summaries separately cite "9,000+ tools," likely counting per-integration actions rather than connectors — the two figures aren't equivalent.
Memory & contextA memory layer described as "the brain that learns from every cycle of your company"; every conversation becomes knowledge agents recall later.—
Pricing entry pointFree tier: $0/mo, 1 agent, 50 tasks/month. Paid tiers (Client, Startups, Enterprise) are priced via "Contact us"/"Contact sales," no public per-seat price.Free $0/mo (200 Actions/month); Pro from $19–29/mo; billing is split into two meters — Actions at $80/1,000 tool runs, plus Vendor Credits at $20/10,000 for wholesale LLM cost (no markup); paid plans can bring their own API key to skip credits.
HONEST GUIDANCE

Choose the right tool for the job

  • Choose Relevance AI if

    you're a revenue or GTM team that wants enterprise governance (SSO, RBAC, audit logs, agent evaluations) baked in, a transparent two-meter usage model, and a genuine free tier to test the builder yourself first.

  • Choose Apollo Space AI if

    you want agent roles that already exist out of the box — a Chief of Staff, an outbound agent, a research agent, a personal Digital Twin — instead of building every persona and workflow from an empty canvas.

  • Choose Apollo Space AI if

    you'd rather track one subscription than two separate usage meters — Relevance AI bills tool runs (Actions) and model tokens (Vendor Credits) as distinct line items; Apollo folds the LLM relationship into its plan pricing.

FAQ

  • Is Relevance AI a good alternative to Apollo Space AI?

    For a revenue/GTM team that wants to build and govern its own custom agent workforce — with SSO, RBAC, and audit logs — Relevance AI is a credible enterprise option, and it says so candidly: its own blog post admits the agents are "not fully autonomous" and still need human goal-setting. Apollo Space AI instead ships a set of named agent roles (Chief of Staff, outbound, research) ready to use across shared company memory, rather than a blank canvas to build agents on.

  • How does Relevance AI's pricing compare to Apollo Space AI's?

    Relevance AI bills on two separate meters — Actions at $80 per 1,000 tool runs, and Vendor Credits at $20 per 10,000 (wholesale LLM cost, no markup) — with a free tier at 200 Actions/month. Apollo Space AI publishes a $0 Free tier and prices its paid tiers (Client, Startups, Enterprise) through direct contact rather than a public per-seat number.

  • Does Relevance AI or Apollo Space AI offer more integrations?

    Relevance AI's own integrations page states "2000+ integrations"; Apollo Space AI's integrations page states "300+ apps" across 10 categories. A G2-derived third-party figure of "9,000+ tools" also circulates for Relevance AI — likely a different counting method (per-action, not per-connector) than its own "2000+" claim, so the two vendor numbers for Relevance AI shouldn't be read as consistent with each other.

Sources — last reviewed 2026-07-04

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