NoCode Agents
Relevance AI vs Lindy comes down to one question: do you want a sales-led enterprise AI workforce, or a self-serve AI assistant you can start using today? For most small teams and founders, Lindy wins — it starts at $29.99 per user per month with a free credit trial, according to Lindy’s pricing page. For mid-market and enterprise go-to-market teams that want a vendor to deploy agents for them, Relevance AI is the stronger fit.
Relevance AI vs Lindy at a glance
| Relevance AI | Lindy | |
|---|---|---|
| Pricing model | Custom enterprise contracts (actions and vendor credits) | Per active user, with pooled credits |
| Entry price | Custom — talk to sales | $29.99 per user/mo (3,000 credits) |
| Free option | None listed on pricing page | $50 in free credits for 7 days, no credit card |
| Self-hosting | No | No |
| Best for | Mid-market and enterprise GTM teams; vendor-assisted rollout | Founders and small teams; inbox, meeting and scheduling automation |
Sources: Relevance AI pricing and Lindy pricing, checked 26 October 2026.
How much does Relevance AI cost compared to Lindy?
Lindy is cheaper and far more transparent. Lindy’s pricing page lists a Team plan from $29.99 per active user per month with 3,000 credits per user, pooled across the team, plus top-ups at $10 per 1,000 credits. New users get $50 in free credits valid for 7 days with no credit card.
Relevance AI’s pricing page lists a single Enterprise plan — custom actions and vendor credits, unlimited agents, tools and users, 2,000+ integrations, calling and meeting agents, agent evaluations, A/B testing, SSO, RBAC, audit logs and a dedicated account manager. The price is custom, so you must talk to sales. There is no published entry price and no free tier.
If budget predictability matters, Lindy publishes numbers you can plan around. Relevance AI is a procurement conversation.
Which is easier to start with, Relevance AI or Lindy?
Lindy is easier to start with by a wide margin. You sign up, connect your tools, and ask it to do things — in Slack threads, by iMessage, or on a schedule such as a morning brief or a Monday report. Lindy’s homepage describes it as an AI employee that works across Gmail, Slack, Notion, HubSpot and 1,500+ integrations.
Relevance AI is deliberately sales-led. Its homepage says an embedded deployment team gets you live and then trains your team to build on its own, with an AI solutions engineer called Invent. That is valuable if you want hands-on help, but it means you will not be running agents an hour after landing on the site.
For a concrete illustration (not a test result): a 5-person agency that wants an assistant to triage a shared inbox and summarize meetings this week should pick Lindy. A 200-person sales organization that wants pre-meeting briefs and at-risk renewal escalation rolled out across regions should shortlist Relevance AI.
Which has better features for go-to-market teams?
Relevance AI has the deeper GTM feature set. Its homepage highlights use cases such as detailed pre-meeting briefs and escalating at-risk renewals, and it talks about agent adoption in levels of autonomy up to “Level 3 and Level 4 autonomous agent workforces.” The Enterprise plan includes calling and meeting agents, agent evaluations with A/B testing, and 2,000+ integrations, per its pricing page.
Lindy covers GTM-adjacent work — inbox management, meeting recording and summaries, drafting replies in your voice, scheduling — but it is an assistant, not a workforce platform. It supports MCP and lets you choose the model per task, which matters if you care about which model handles which job.
Winner for dedicated GTM teams: Relevance AI. Winner for individual productivity across sales, ops and founders: Lindy.
Which is safer for approvals and data control?
Both take governance seriously, but in different ways. Lindy says anything with outside impact — sending an email, updating a ticket, posting to a channel — waits for approval, while read-only lookups do not. Lindy also lists SOC 2 and GDPR, says your data is never used for training, and pauses and tells you if the credit pool runs low rather than continuing to spend, per its pricing page. Admins can set credit allocations per seat.
Relevance AI’s Enterprise plan includes SSO, RBAC and audit logs, plus agent evaluations and A/B testing — controls aimed at larger organizations. Lindy’s Enterprise tier adds HIPAA with a signed BAA, SSO and SCIM, audit logs and dedicated support.
Neither publishes a self-hosted option. If data residency requires self-hosting, neither tool fits — see our best self-hosted AI agent builders guide instead.
Which is better for agencies and consultants?
It depends on what you are selling. If you are an agency that wants to resell a done-for-you AI workforce to mid-market clients, Relevance AI runs an Expert Partner Directory for implementation partners, which makes it the more natural partner play.
If you are a consultant or small agency that wants to automate your own inbox, meetings and reporting — or spin up assistants for clients quickly — Lindy’s per-seat pricing and self-serve setup are easier to work with. For more options, see our best no-code AI agent builders for agencies guide.
Who wins each scenario?
- Solo founder or small team, limited budget: Lindy. Self-serve, published pricing, free credits to start.
- Mid-market or enterprise GTM team: Relevance AI. Built for sales, customer success, marketing, support and operations workforces with an embedded deployment team.
- Slack-centric team wanting an assistant: Lindy. You talk to it; it handles inbox, meetings and scheduling.
- Company wanting a vendor-assisted rollout: Relevance AI. The embedded team and Invent solutions engineer are the point of the product.
- High-volume back-office pipelines: Neither is ideal. Lindy’s per-seat pricing suits knowledge workers more than bulk pipelines, and Relevance AI is GTM-focused. Consider Gumloop or n8n for that shape of work.
- Self-hosting requirement: Neither. Both are cloud-only.
Bottom line
Lindy wins for most buyers reading this: it is self-serve, starts at $29.99 per user per month, and acts like an assistant you hire rather than a platform you procure. Relevance AI wins if you are a mid-market or enterprise GTM team that wants a custom AI workforce deployed with vendor help — and you are comfortable with a sales-led, custom-priced purchase. Our hands-on testing notes for both tools are pending, so verify current pricing on the vendor pages before you commit.