Lindy AI Review 2026: Pricing, Phone Calls & Alternatives

Lindy is an AI agent builder for knowledge work, not a phone system. It connects to the tools a company already runs, gives you an assistant you talk to in Slack, email or iMessage, and lets you build custom agents that triage inboxes, update CRMs, research prospects, take meeting notes and run scheduled routines. It can place and answer phone calls, but that capability is capped and secondary, and Lindy's own content points voice-first buyers elsewhere.

Published 26 August 2026. Last updated 26 August 2026. All vendor pricing below was read from the vendor's own public pages on that date.

If you landed here asking "what is Lindy", the short answer is: an AI teammate that lives in your workspace. If you landed here asking whether Lindy can replace a receptionist or run an outbound calling operation, the short answer is no, and the section on phone calls explains exactly why in Lindy's own published numbers.

What Is Lindy?

Lindy describes itself on its own homepage as an AI teammate that "connects to all your tools, knows everything about your company, and does real work for the whole team". Flo Crivello is the founder and CEO, confirmed on Lindy's own careers page.

The product has two halves. The first is an assistant you message: it lives in Slack, works over email through Gmail, is reachable on iMessage and in the browser, and ships with more than 40 built-in skills covering research, data analysis and document or dashboard creation. The second is a builder: you compose agents from triggers, actions and integrations, then let them run on a schedule or on an event.

Lindy claims more than 1,000 integrations, including Notion, HubSpot, GitHub, Linear, Stripe, Google Workspace, Microsoft Teams and Zapier, plus support for MCP servers. Meeting recording and transcription across Google Meet, Zoom and Teams is built in. Named use cases on the site include competitor tracking, support-queue triage, funnel analysis, invoice logging, CRM updates from Slack and month-end finance processes.

The honest framing is that Lindy sits in the same category as a general-purpose agent platform, closer to an automation-plus-LLM layer than to a voice agent or a customer service automation product. That category distinction drives everything below.

How Much Does Lindy Cost in 2026?

Lindy publishes list pricing, which is worth crediting. From the Lindy pricing page, verified 26 August 2026:

New teammates joining through Slack get a seven-day free trial before seat billing starts; direct signups are billed immediately, and the trial is one-time per teammate. Phone numbers are a separate line item at $10 per month each, per Lindy's phone-calls documentation, with numbers available in 100+ countries.

How Do Lindy Credits Work?

Credits are Lindy's unit of work, not a token count you can predict from a price list. Lindy's pricing page states that usage varies by task complexity: roughly 2 to 250 credits for everyday tasks, 250 to 1,000 for deeper work, and 1,000 to 2,500 for complex builds. All team members share one pooled credit balance regardless of tier.

Read that carefully before you budget. A Plus seat at 3,000 credits a month covers a comfortable number of everyday tasks and roughly one or two complex builds. It does not cover an agent that runs a heavy research routine every morning. The pooled balance also means one power user can consume the team's allocation, which is a governance question rather than a technical one. Ask Lindy for a credit forecast against your actual intended workflows before committing a team.

Can Lindy Make and Answer Phone Calls?

Yes, with real limits, and this is the section most buyers arrive for. Lindy's documentation states that "Phone calls are available on Pro, Business, and Enterprise plans". The per-plan limits, quoted from the same page:

• Pro: "limited to 30 calls/month, English only, and one call at a time".
• Business and Enterprise: "unlimited concurrent calls and support all languages".

One naming wrinkle to raise with a rep: the documentation names the tiers "Pro, Business, and Enterprise", while the pricing page lists Plus, Pro, Max and Enterprise. The two pages do not use the same tier vocabulary, so confirm in writing which named plan on the order form unlocks unlimited concurrency and non-English calls before you buy on the assumption that yours does.

Calls are billed in credits at 20 credits per minute for US landline and mobile calls, which Lindy puts at approximately $0.19 a minute, with international rates varying by destination. Inbound uses a "Call Received" trigger, outbound a "Make Phone Call" action. Lindy states 30+ languages are available for natural conversation, naming English, Spanish, French, German, Mandarin, Cantonese, Japanese, Korean, Hindi and Arabic among them.

Three things follow that a feature list will not tell you. First, 30 calls a month with one concurrent line is a demo allowance, not an operating capacity. A single-location dental practice takes that before lunch on a Monday. Second, the language restriction on Pro is English only, so the tier most SMBs can afford is also the tier that cannot serve a multilingual market. Third, and most telling, Lindy's own marketing does not fight for the voice use case. In its published roundup of AI voice agents, Lindy writes that "Not every workflow needs voice. For inbox triage, CRM updates, and follow-ups that pile up between calls, Lindy handles them via message", and directs readers to voice-native platforms when call quality or post-call visibility is the deciding factor.

Lindy Pros and Cons

Lindy vs a Dedicated Voice Platform: What Actually Differs?

The two categories optimise for different failure modes. An agent builder optimises for breadth: how many systems can one agent touch, and how easily can a non-engineer wire them together. A voice platform optimises for the first 800 milliseconds: barge-in handling, turn-taking, recovery from a caller talking over the agent, accent robustness, DTMF, warm transfer, and the telephony plumbing that decides whether a call feels human or feels like an IVR.

The practical read: if your bottleneck is that nobody is updating the CRM after calls, Lindy is a good answer. If your bottleneck is that nobody is answering the calls, it is not. Many teams end up wanting both, and that is a reasonable outcome, but they are two purchases rather than one. For the voice-side comparison see our Retell vs Bland vs Vapi comparison and Voiceflow vs Retell vs Vapi.

Is Lindy GDPR Compliant and Does It Offer EU Data Residency?

Lindy publishes a compliance posture. Its documentation lists "AICPA SOC 2, GDPR, HIPAA, and PIPEDA", with Enterprise adding SSO, SCIM and HIPAA under a signed Business Associate Agreement. It states data is "encrypted in transit and at rest, never sold, and never used to train models", and describes itself as SOC 2 Type II certified with AES-256 encryption.

What we could not find is a data-residency commitment. There is no published statement that EU customer data is processed and stored in the EU, and no named EU region. GDPR compliance and EU data residency are different things: the first is a legal posture, the second is a location. For a Lithuanian, Latvian or German controller under procurement review, the second is usually what gets asked. Request the processing locations, the retention periods and the subprocessor list in writing.

If your agent will speak to people rather than only to systems, there is a second obligation. From 2 August 2026, the EU AI Act requires disclosure: Article 50(1) states that providers must ensure people are informed they are interacting with an AI system. Our EU AI Act compliance checklist and GDPR guide for voice agents cover the operational side.

Who Is Lindy Genuinely Best For?

Lindy is a good buy when: your team lives in Slack, your bottleneck is chained work across many SaaS tools, you have one or two people willing to own agent configuration, and phone calls are an occasional convenience rather than a channel you depend on. Sales-ops, RevOps, support triage and finance back-office are the strongest fits, and Lindy's own named use cases line up with exactly those.

Lindy is the wrong buy when the phone is the product. If you are replacing missed calls, running an outbound reactivation campaign, staffing an after-hours line, or serving callers in Lithuanian, Latvian, Estonian or Polish, an agent builder capped at 30 English-only calls a month on its mid tier is not the shortlist. It is also the wrong buy if you need EU data residency documented rather than asserted, or if nobody on your team wants to own the build.

We maintain a separate, more product-level profile at our Lindy provider page alongside the broader AI teammate category overview.

What Are the Best Lindy Alternatives in 2026?

Five real alternatives plus us, sorted by the problem they solve rather than by a leaderboard.

• Zapier and Make. The deterministic route. If your workflow is genuinely a sequence rather than a judgement call, a classic automation tool is cheaper, more predictable and easier to debug than credits against an LLM. Loses on: no reasoning, no natural-language interface, brittle when inputs vary.
• Relevance AI. Agent-team framing with more explicit multi-agent orchestration. Wins if you want to model roles and hand-offs between agents. Loses on: a steeper learning curve than Lindy's Slack-first simplicity. See our Relevance AI profile.
• Glean. Enterprise search and assistant built on your corpus. Wins when the real problem is that nobody can find anything, not that nobody is doing the task. Loses on: it is a knowledge product first, an action product second. See our Glean profile.
• Vapi or Retell. The right category if voice is the actual requirement. Both are developer platforms with per-minute economics and serious concurrency. Loses on: you build and maintain a voice application yourself. See our Vapi review and Retell pricing breakdown.
• Decagon or Sierra. Enterprise conversational AI for customer experience at scale. Wins for large support organisations with a real deflection budget. Loses on: enterprise sales cycles and enterprise minimums; not an SMB purchase. See our Sierra review.
• Ainora. Not an agent builder. A managed, done-for-you voice deployment for European businesses: EU data residency, GDPR and EU AI Act transparency built into the delivery, and genuinely multilingual coverage including Lithuanian, Latvian, Estonian and Polish with mid-call code-switching. We build and tune the agent for you. Loses on: no self-serve signup, no 1,000-integration marketplace, and it does not do the Slack-and-CRM knowledge work Lindy is good at. Hear it at +1 (218) 636-0234 or in Lithuanian at +370 5 200 2620.

If you want the honest one-line version: Lindy and Ainora are not really competitors. Lindy is what you buy when the work between calls is the bottleneck. A voice platform is what you buy when the calls are.

How Should You Trial Lindy?

Frequently Asked Questions