Relevance AI vs Lindy 2026: Sydney-Built Agents vs the US Inbox Assistant

Pricing figures updated 6 September 2026: USD prices are converted at the current rate (1 USD ≈ 1.40 AUD, verified 5 September 2026) and shown ex-GST, replacing the retired 1.55 + GST basis. A GST-registered Australian business that supplies its ABN is not charged GST on an imported digital service; other buyers should allow ~10% on top (Methodology).

Winner: Relevance AI for most Australian businesses building real automation — it's Sydney-built, lets you keep data onshore in Sydney, and goes deeper on multi-agent work. Pick Lindy if your job is mostly inbox, meetings and CRM follow-up, and you're comfortable with US data and USD billing. Both bill in US dollars, so neither is a clean local fit — but only one keeps your data in the country.

Last reviewed: 18 June 2026 by Adam.

This is the choice a lot of Australian operators are now facing in AI Automation & Integration: do you build your own AI workforce, or hire a ready-made assistant that already runs your inbox? Relevance AI and Lindy answer that question differently. Relevance AI is a Sydney-founded platform for assembling teams of no-code AI agents. Lindy is a San Francisco product that does a narrower set of administrative jobs — email, meetings, CRM — extremely well. Both are capable. Only one is built anywhere near Australia, and that turns out to matter.

At a glance

What both tools actually do

Both sit in AI Automation & Integration — tools that do work across your systems rather than chatbots you sit and talk to. But they aim at different problems.

Relevance AI is a builder. You assemble agents from tools (search the web, send an email, query a database, run a Python or JavaScript snippet), wrap those tools in instructions and a goal, then combine agents into a "Workforce" — a manager agent that delegates to specialists, with escalation rules when a human is needed. Its "Invent" feature turns a plain-English description into a working draft agent. The promise: configure a digital team once, then hand it jobs. A property manager could build a workforce where one agent reads tenant emails, a second categorises them, a third drafts replies, and anything urgent escalates to a human.

Lindy is closer to a ready-made hire. You pick a trigger, describe the task in plain English, connect your accounts, and it runs: a new email arrives, a meeting starts, a deal moves stage. The work falls into three buckets — inbox (triage and draft replies in your tone), meetings (join, record, transcribe, extract action items, draft the recap) and CRM follow-up (update the HubSpot or Salesforce record, draft the chase). It advertises 100+ integrations and a human-approval default, so it asks before it sends.

The short version: Relevance AI hands you a workshop; Lindy hands you a coordinator who already knows the job.

Pricing in Australia (AUD + GST)

Here's the shared catch: both bill in US dollars. Neither offers an AUD toggle, so every figure carries currency risk. We convert at AUD ≈ 1.40 shown ex-GST for the landed cost, on the basis that US-billed digital services to Australians fall under the "Netflix tax" rules.

Relevance AI no longer starts free. The Free plan — 200 actions a month, one user, one project — was retired and closed to new signups in September 2026 (verified 23 Sep 2026), so there is no way to learn the tool before paying. Pro is US$19/mo (~A$27/mo ex-GST) on an annual commitment, or US$29/mo (~A$41/mo ex-GST) month to month and Team is US$234/mo (~A$328/mo ex-GST), with Enterprise on a custom quote. The complication is the meter: since a September 2025 overhaul, billing splits into Actions (each tool run) and Vendor Credits (the underlying model cost, charged at no markup). Run out and you top up. Pro's 30,000 actions a year is roughly 82 a day — a busy agent can burn that in an afternoon — so budget for overage. Relevance AI's pricing page doesn't state how GST is handled at the Australian checkout, so confirm the GST treatment on a written invoice before you commit.

Lindy has no free tier — only a 7-day trial. Plus is US$29.99/mo per user (~A$42/mo ex-GST, 3,000 credits per user per month), cut from US$49.99 in September 2026, Pro is US$99.99/mo per user (~A$140/mo ex-GST, 5× the usage and the "computer use" browser-automation skill), Max is US$199.99/mo (~A$280/mo ex-GST), and Enterprise is on custom pricing. The honest read: the headline "computer use" feature only unlocks on Pro, so the real entry price for many buyers is closer to A$140 than A$70. Lindy sells usage in vague multiples — Pro is billed as "3×" and Max as "7×" the Plus allowance — rather than a published task number, so you can't size your spend precisely from the pricing page. Lindy's pricing page also doesn't state how GST is handled at the Australian checkout, so confirm the GST treatment on a written invoice before you commit.

On sticker price alone, Relevance AI is still cheaper to start — A$27/mo to commit, or A$41/mo month to month, against Lindy's A$42 (really A$140) floor — but the gap narrowed sharply in September, when Lindy cut Plus by 40% — but since September 2026 neither tool lets you try it for nothing indefinitely. But you're paying in effort: Relevance AI's low price assumes you'll build the thing yourself.

Where Relevance AI wins

• Multi-agent depth. Relevance AI's Workforce — agents delegating to agents with escalation paths — is one of the more mature implementations available, and it scores a full 5/5 on Feature Depth against Lindy's 4/5. Lindy builds capable single assistants; Relevance AI builds teams.
• It's genuinely Australian. Founded in Sydney in 2020, still Sydney-headquartered, backed by Australian investors. In a category dominated by US names, that's rare and real.
• Onshore data residency. This is the decider. Relevance AI lets you pick AU (Sydney), US or EU hosting at signup. Almost none of its global rivals match it — and Lindy doesn't.
• It starts free and scales. A free tier to learn on, US$19 to commit, and the same builder runs agent fleets at enterprise scale. You won't outgrow it quickly.
• An escape hatch for technical users. When no-code hits its ceiling, you can drop into custom Python or JavaScript. That ceiling is higher than most no-code tools.

Where Lindy wins

• It works out of the box. Lindy's headline jobs — inbox triage, meeting notes, CRM follow-up — are ready on day one. Relevance AI gives you a builder; Lindy gives you a working assistant in an afternoon. For a non-technical owner, that gap is the whole decision.
• The meeting-to-CRM chain. If you run sales or client work, having every call recorded, summarised, logged against the deal and turned into a follow-up draft removes a real chunk of admin. This is the kind of specific drudgery AI should be doing, and Lindy does it cleanly.
• Writing-style matching and sensible guardrails. Drafted replies read like a competent assistant wrote them, and the human-approval default — it asks before it sends — is the right call for a tool with this much reach into your accounts.
• Lower thinking overhead. Relevance AI's "no-code" still demands systems-design thinking — roles, tool permissions, escalation logic. Lindy asks far less of you up front.

Note the Australian Fit gate catch: even where Lindy wins on a specific job, its Australian Fit of 2/5 means it cannot be named a category Top Pick under our framework, regardless of capability. It can be recommended for a use-case; it cannot wear the category crown.

Australian fit: not a dead heat

This is where the two pull apart, and it's the most important section for an Australian buyer.

Relevance AI scores 4/5. Sydney-built, with onshore Sydney data residency you choose at signup, SOC 2 Type II compliance, GDPR alignment and a no-training-on-your-data statement. It loses its fifth point only because it bills in USD despite the Sydney head office — a genuine miss for a local company. Relevance AI doesn't publish dedicated Australian support hours, so don't assume local-time support just because the head office is in Sydney — ask about it if it matters to you.

Lindy scores 2/5. USD billing, no Australian office, no published AU support hours, and — critically — no Australian or APAC data region named anywhere on its pricing or security pages. Lindy's security page doesn't disclose where data physically resides at all; it directs you to its privacy team for specifics. If onshore storage is a hard requirement, ask Lindy directly and get the answer in writing — don't assume a region exists. For a tool that reads your entire inbox and records your meetings, that's a meaningful gap under the Privacy Act 1988 and the Australian Privacy Principles. Lindy's SOC 2 and GDPR credentials are reassuring on process; they do not put your data onshore.

That two-point gap on Australian Fit is the heart of this comparison. If your data must stay in the country, the contest is effectively over before you weigh features.

This comparison is general information, not privacy, security or professional advice. If you handle health, legal or financial client data, get your own advice on whether either tool meets your obligations before you commit.

Which to pick — decision framework

• You need data to stay onshore (health, legal, financial, government-adjacent) → Relevance AI, with AU (Sydney) hosting selected at signup. Lindy has no documented Australian region, which is disqualifying here.
• Your pain is inbox, meetings and CRM follow-up, and offshore data is acceptable → Lindy. Trial it for the meeting-to-CRM chain alone; budget for Pro (~A$140/mo per user), not the A$42 entry price.
• You have a repeatable, high-volume task to automate properly → Relevance AI. Scope one workflow tightly and watch the Actions meter — and note there is no longer a free plan to prototype on.
• You're non-technical and want value without building anything → Lindy, eyes open on the data-residency gap — it does the work for you out of the box.
• You're price-sensitive or just experimenting → Relevance AI's free tier. Lindy's 7-day, card-gated trial is too short to learn the tool.
• You want the safest Australian-fit default in this category → Relevance AI. It's the only one of the two that clears the Australian Fit bar.

The verdict

Winner overall: Relevance AI, for most Australian businesses. It scores 20/25 to Lindy's 17, and the gap reflects exactly what an Australian buyer should care about: a Sydney founder story, onshore Sydney data residency, deeper multi-agent features, a free tier to learn on, and a far lower entry price. It's a four-star tool held back from five only by USD billing and an unpredictable usage meter. For anyone who needs automation built properly — and especially anyone with data-residency obligations — it's the easy local pick.

But Lindy is the smarter buy for one specific job: the operator who lives in their inbox and runs on Gmail, Slack and HubSpot, and who's comfortable with offshore data. For inbox triage, meeting notes and CRM follow-up, Lindy works out of the box in a way Relevance AI doesn't — you'd build that yourself on Relevance AI, and many owners won't. On that narrow capability, Lindy genuinely competes. The honest caveat: its 2/5 Australian Fit means it cannot be a category Top Pick under our framework, no matter how well it runs your inbox. Recommended for the use-case; not the category winner.

The honest truth: both are capable, both bill in US dollars, and neither is a perfect Australian fit. But one keeps your data in Sydney and goes deeper, and the other doesn't. For most Australians, that settles it — Relevance AI. Choose Lindy only when the job is narrow, the inbox is the pain, and onshore data isn't a requirement.

Frequently asked questions

Which is better for Australians?

Relevance AI, for most businesses. It scores 20/25 to Lindy's 17, it's Sydney-built, it lets you keep data onshore, and it goes deeper on multi-agent work. Pick Lindy only when the job is narrow — inbox, meetings, CRM — and offshore data is acceptable.

Which is cheaper in AUD?

Relevance AI, easily. It's free to trial and about A$27/month (US$19) to commit. Lindy has no free tier and a real entry price closer to A$140/month (US$99.99 Pro), since its headline feature only unlocks on Pro.

Do either bill in AUD?

No — both bill in US dollars, so both carry currency risk. Neither states clearly how GST is handled at the Australian checkout, so confirm the GST treatment on a written invoice before you commit.

Can I keep my data in Australia?

Only with Relevance AI, which lets you pick AU (Sydney) hosting at signup. Lindy publishes no Australian or APAC data region anywhere — if onshore storage is a hard requirement, that effectively settles it for Relevance AI.

Is there a free plan or free trial?

Relevance AI has a free tier (200 actions/month) to learn on. Lindy offers only a 7-day, card-free trial — too short to properly test the tool.

Sources

This comparison draws on The AI Directory Australia's underlying reviews of Relevance AI (20/25, AU Fit 4/5) and Lindy (17/25, AU Fit 2/5), each scored against our five-criteria framework and verified against the vendors' own pricing, security and product pages on 13 June 2026. Both vendors bill in USD; confirm live pricing and GST treatment before you buy. Where a vendor doesn't publish a figure — Lindy's exact usage allowances, either vendor's GST handling at the Australian checkout, Lindy's data region, or Australian support hours — we've said so plainly rather than guess; get those points in writing from the vendor before you commit.

• Relevance AI — Pricing: https://relevanceai.com/pricing
• Relevance AI — Security & data residency (docs): https://relevanceai.com/docs/admin/security
• Lindy — Pricing: https://www.lindy.ai/pricing
• Lindy — Security & compliance: https://www.lindy.ai/security

Read next

• Full reviews: Relevance AI (20/25) and Lindy (17/25)
• Category guide: The best AI automation tools in Australia (2026 roundup)

The AI Directory Australia is an independent editorial publication. Read our Methodology and Affiliate Disclosure.