Lindy vs Relevance AI
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentRelevance AI compared with Lindy
Lindy is the more approachable agent builder, especially for email and calendar work, and it is easier to get one useful agent running in an afternoon. Relevance AI goes further on the operational side: multi-agent Workforces, a job queue with retries, tracing with per-step cost, evals, and an MCP gateway for governing tool access. Choose Lindy for a personal or small-team assistant, Relevance AI when agents will run unattended against company data and someone will be asked why one of them was wrong.
Choose Lindy if
Small teams that want one flexible agent platform covering several kinds of work, including warm follow-up, inbound triage, CRM hygiene, and research, and who are willing to build their own outbound workflow rather than buy a packaged one.
Choose Relevance AI if
Revenue and operations teams that want AI agents doing repeatable research, enrichment, outreach, and triage work under supervision, and that have someone willing to treat agent building as an ongoing job rather than a one-week setup. Strongest where the work is judgment-heavy and unstructured, which is exactly where a rules-based automation tool stalls.
Side by side
13 attributes| Attribute | Lindy | Relevance AI |
|---|---|---|
| Category | AI SDR | GTM Engineering |
| Starting price | $29.99 per user per month (Plus) (7 days trial) | Free (200 Actions per month); Pro from $19 per month billed annually (free plan available) |
| Pricing model | Per-user monthly subscription with an included credit allowance per seat; credits are consumed by agent activity. | Two meters plus a plan fee. Actions are consumed one per tool run, including runs that fail or retry. Vendor Credits cover the underlying LLM and third-party model spend, passed through at wholesale with no markup, and can be bypassed entirely on paid plans by connecting your own OpenAI or Anthropic API keys. Plans set the included Actions, included Vendor Credits, number of build users, and number of projects. This structure took effect on 8 September 2025 and replaced the previous single-credit model; the Business plan was discontinued at the same time. |
| Free plan | No | 200 Actions per month, a one-time grant of 1,000 Vendor Credits, one build user, one project |
| Free trial | 7 days without a credit card, with trial mechanics differing between Slack-initiated and direct signups | No time-limited trial; the free plan serves that purpose |
| Best for | Small teams that want one flexible agent platform covering several kinds of work, including warm follow-up, inbound triage, CRM hygiene, and research, and who are willing to build their own outbound workflow rather than buy a packaged one. | Revenue and operations teams that want AI agents doing repeatable research, enrichment, outreach, and triage work under supervision, and that have someone willing to treat agent building as an ongoing job rather than a one-week setup. Strongest where the work is judgment-heavy and unstructured, which is exactly where a rules-based automation tool stalls. |
| Setup time | An hour to a first useful agent, a week to a workflow you trust for outbound. Connecting Gmail, Slack, and a CRM is fast; designing a research and outreach agent that produces output you would actually send takes iteration. | An hour to sign up, clone a marketplace agent, and see it run. A week or two to get a first agent doing real work against real data, most of which is spent writing instructions, connecting integrations, and discovering the edge cases where the agent is confidently wrong. |
| Learning curve | Lower than node-based automation tools because agents are described in natural language rather than diagrammed, but the ceiling is high and reaching it takes real time. Teams without a builder should assume the platform will underdeliver. | Low to begin, steep in the middle. The visual tool builder is approachable for a non-engineer, but reliable agents require prompt discipline, structured output enforcement, and an appetite for reading traces. Multi-agent Workforces and custom API steps are a genuine technical exercise, not a no-code one. |
| Platforms | Web application, Slack-native operation, Meeting attendance on Google Meet, Zoom, and Microsoft Teams | Web application, REST API, Model Context Protocol (MCP) server, Slack, Microsoft Teams, Android app, Embeddable tools and agents |
| Compliance | SOC 2 Type II, GDPR, PIPEDA, HIPAA on the Enterprise tier with a signed business associate agreement | SOC 2 Type II, GDPR |
| Founded | 2023 | 2020 |
| Headquarters | San Francisco, California, United States | Sydney, Australia |
| Ownership | Venture-backed | Independent, venture-backed (OnSearch Pty Ltd trading as Relevance AI) |
Strengths and limitations
Lindy
Strengths
- Genuinely broad capability: one platform covering email, meetings, research, reporting, CRM updates, and scheduled routines rather than a single workflow.
- More than a thousand integrations plus MCP server support, which is the widest connectivity surface of anything in this category.
- Teach-by-demonstration skill creation makes the platform compound in value as a team uses it, unlike fixed-function tools that plateau on day one.
- The strongest compliance posture in this batch: SOC 2 Type II, GDPR, PIPEDA, HIPAA on Enterprise, and an explicit no-training-on-customer-data policy.
Limitations
- It is not an AI SDR and does not include any outbound infrastructure: no domains, no secondary mailboxes, no warmup, no deliverability tooling, no bounce handling.
- Sending cold email through the connected primary work inbox risks the domain your whole company depends on, which is a serious and easily overlooked hazard.
- Everything useful has to be built, so the value depends entirely on having someone on the team who enjoys building automations.
- The credit meter is the real constraint and it is not obvious in advance how quickly a given agent will burn through an allowance.
Relevance AI
Strengths
- The agent abstraction is genuinely well built: instructions, scoped tools, knowledge, approval gates, and escalation rules are all first-class rather than bolted on.
- Tracing and cost visibility are better than most competitors, showing per-step model calls and per-run cost, which turns debugging from guesswork into reading a log.
- The two-meter pricing separates platform cost from model cost honestly, and bring-your-own-keys removes the markup that most agent platforms quietly charge.
- Approval gates and escalation are the right primitives for letting an agent touch a CRM or an inbox without an incident.
Limitations
- Cost is hard to forecast. Actions are charged per tool run including failures and retries, and a multi-agent Workforce fans out into far more runs than a first-time buyer estimates.
- The public pricing page shows only Enterprise as of August 2026; Free, Pro, and Team still exist but you have to dig through documentation to find their terms, which is a deliberate move away from self-serve buyers.
- The Pro to Team step is punishing, roughly $19 to $234 per month for under three times the Actions, and there is no longer a Business tier in between since it was retired in September 2025.
- Governance essentials are Enterprise-gated: evals, agent performance observability, audit logs, SSO, RBAC, and Salesforce, Snowflake, and Zendesk triggers are all out of reach of a self-serve buyer.
Pricing compared
Lindy
Per-user monthly subscription with an included credit allowance per seat; credits are consumed by agent activity.
- Plus$29.99
- Pro$99.99
- Max$199.99
- EnterpriseCustom
As a general agent platform, Lindy at $29.99 a seat is well priced for the breadth on offer, and the compliance posture at that price is genuinely unusual: SOC 2 Type II, GDPR, and no training on customer data are not things you get from a $39 desktop tool. As an AI SDR, the value question is different and less flattering. You are buying a construction kit and then discovering that the expensive, tedious parts of outbound, which are domains, mailboxes, warmup, and deliverability, are not in the box and cannot be built inside it. Judge it as the tool that automates everything around outbound rather than outbound itself, and it is one of the better-value purchases in this directory.
Relevance AI
Two meters plus a plan fee. Actions are consumed one per tool run, including runs that fail or retry. Vendor Credits cover the underlying LLM and third-party model spend, passed through at wholesale with no markup, and can be bypassed entirely on paid plans by connecting your own OpenAI or Anthropic API keys. Plans set the included Actions, included Vendor Credits, number of build users, and number of projects. This structure took effect on 8 September 2025 and replaced the previous single-credit model; the Business plan was discontinued at the same time.
- Free$0
- Pro$19
- Team$234
- EnterpriseCustom
Priced against what it replaces, the Pro plan is cheap: $19 a month plus metered model spend for work that would otherwise be a contractor's afternoon. The problem is the shape of the curve above it. Team at $234 a month gives under three times the Actions for more than ten times the price, and the governance features that make agents safe to leave running (evals, observability, audit logs, SSO) are not purchasable at any published price. A small business gets real value from the free and Pro tiers for supervised, human-in-the-loop work. A company that wants agents operating unattended on customer data is buying Enterprise, and should assume a five-figure annual commitment and a procurement cycle.
Editorial verdict on each
Lindy
Lindy is the best-built and best-governed product in this batch, and it is the one least likely to be the right purchase if what you actually want is an AI SDR. As a general agent platform it is excellent value at $29.99 a seat, with a thousand-plus integrations, teach-by-demonstration skills that compound over time, and a compliance posture including SOC 2 Type II that nothing else here approaches. As an outbound tool it is a construction kit missing the expensive parts: no domains, no secondary mailboxes, no warmup, no deliverability layer, and a default sending path through the primary work inbox that you should not be using for cold email. Buy it to automate everything that surrounds outbound, which is follow-up, CRM hygiene, meeting capture, research, and reporting, and buy a purpose-built cold email platform for the sending. Buy it only if someone on your team will actually build things, because it does nothing at all until they do.
Read the full Lindy profileRelevance AI
Relevance AI is one of the better-engineered agent platforms available to a small company, and the parts that matter most for production use, tracing with per-step cost, approval gates, escalation rules, a job queue with retries, and an honest two-meter bill, are more mature here than in most of its peers. The friction is commercial rather than technical. Pricing jumps from $19 to $234 per month with under three times the Actions, the Business tier that used to bridge that gap was retired in September 2025, and the governance features that make agents safe to leave running unattended (evals, observability, audit logs, SSO) are all locked behind a quote-only Enterprise plan. The public pricing page now advertises nothing else, which tells you where the company's attention has gone. Buy the Free or Pro plan for supervised, human-in-the-loop work where a person reviews output, and expect real value from it. Do not plan an unattended, customer-data-touching deployment on a self-serve plan, because the tools to prove it is behaving are not sold at that price.
Read the full Relevance AI profileLindy profile last reviewed 2026-08-22; Relevance AI last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.