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Customer Support · head to head

Level AI vs Re:amaze

Level AI logo

Level AI

Customer Support

AI quality assurance and agent assist for mid-market and enterprise contact centres

From
On request
Rated
-
Full reviewWebsite
Re:amaze logo

Re:amaze

Customer Support

Customer messaging for online businesses

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Re:amaze has a free tier, so it costs nothing to try first.
  • Each has a real cost: Level AI pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.; Re:amaze aI resolutions are metered per plan at 5, 10 and 20 a month, with each additional resolution at $0.85
  • They diverge on capability: Level AI covers Automated QA scoring, Re:amaze covers Multi-channel inbox.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Level AI and Re:amaze actually diverge.

Attributes where Level AI and Re:amaze differ
AttributeLevel AIRe:amaze
Starting priceOn requestFree
Pricing modelquotesubscription
Free tierNoYes
PlatformsWebWeb, Ios, Android
FoundedUnknown2012

Identical on both: user rating (Not yet rated), category (Customer Support).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Level AI

  • Automated QA scoring
  • Semantic intent search
  • Agent assist
  • Coaching workflows
  • Custom scorecards
  • Voice of customer analytics
  • Dispute and calibration
  • CCaaS integrations

Only in Re:amaze

  • Multi-channel inbox
  • Live chat
  • FAQ center
  • Chatbots
  • Automation
  • Push campaigns
  • Shopify
  • BigCommerce

What people use each for

The jobs each tool is most often brought in to do.

Level AI

  • A 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding QA headcountnot Re:amaze
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Re:amaze
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Re:amaze
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Re:amaze

Re:amaze

  • Customer service and support for small to mid-size teamsnot Level AI
  • Multi-channel communication management across email, chat, SMS, and voicenot Level AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Level AI

  • Pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.
  • Integration to each contact centre or CRM system is charged as a separate implementation fee, which means a team running voice on one platform and chat on another pays twice before a single interaction is scored.
  • The unit economics do not work below roughly a hundred agents; smaller teams get quoted enterprise minimums that cost more than the QA analyst they were trying to avoid hiring.
  • Automated scores are only as good as the scorecard behind them, and the calibration work to get semantic questions scoring consistently falls on your QA team over several weeks before anyone trusts the output.
  • Transcription and semantic accuracy degrade on heavily accented speech, poor telephony audio and languages outside the main supported set, so multilingual operations often end up running manual QA in parallel for some queues anyway.

Re:amaze

  • AI resolutions are metered per plan at 5, 10 and 20 a month, with each additional resolution at $0.85
  • The flat rate Starter plan at $59 a month caps responded conversations at 500
  • SMS, voice, multiple brands and a custom domain all require the Pro plan at $49 per team member
  • Departments, custom roles, shift management and satisfaction ratings are Plus only at $69 per team member
  • The 10% saving requires annual billing

Pricing, plan by plan

Level AI

On request
  • Level AI$undefined/year
    • Automated QA on all interactions
    • Custom scorecards
    • Semantic search

Re:amaze

Free
  • Basic$29/month
    • Unlimited email inboxes, live chat, social media channels
    • Public/internal FAQ, workflow automation, chatbots
    • Basic reporting and Re:amaze AI Agent
  • Pro$49/month
    • All Basic features plus multiple brand management
    • Live visitor tracking, advanced reporting
    • SMS and voice channels, custom domain, AI Intents
  • Plus$69/month
    • All Pro features plus live screensharing (Peek)
    • Department management, staff performance reporting
    • Shifts/vacation tracking, custom roles, video calls
  • Starter$59/month
    • All Basic plan features for unlimited team members
    • Limited to 500 responded conversations monthly
    • Flat rate billing regardless of team size

Which should you pick?

Choose Level AI if

  • You need automated qa scoring.
  • You also want semantic intent search.
Level AI review

Choose Re:amaze if

  • You need multi-channel inbox.
  • You want to start without paying.
  • You work on Web, Ios, Android.
  • You also want live chat.
Re:amaze review

Questions people ask

Is Level AI or Re:amaze better?
Neither clearly leads. Level AI starts at On request and Re:amaze at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Level AI or Re:amaze?
Re:amaze has a free tier; the other does not. Paid plans start at On request for Level AI and Free for Re:amaze.
Does Level AI or Re:amaze run on more platforms?
Level AI runs on Web. Re:amaze runs on Web, Ios, Android.
Can I use Re:amaze for free?
Yes. Re:amaze has a free tier, so you can try it without paying. Level AI starts at On request.
What is Level AI best used for?
Level AI is most often used for a 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding qa headcount, a regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a sample, a support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contacts, a cx team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactions. Of those, a 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding qa headcount and a regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a sample are not what Re:amaze is typically brought in for.
What can Level AI do that Re:amaze cannot?
Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows. Re:amaze covers Multi-channel inbox, Live chat, FAQ center, Chatbots.

Answered from the vendors’ own pages

Level AI: Does Level AI publish pricing?

No. Quotes are built per deployment from agent count, channel mix and product modules, and integration fees are added on top.

Re:amaze: Is there a free trial for Re:amaze?

Yes, Re:amaze offers a 14-day free trial that includes all Plus plan features. No credit card is required and there are no cancellation fees.

Source
Level AI: Can it replace our QA analysts?

It replaces the sampling and scoring work, not the judgement. Teams typically keep analysts for calibration, disputes and coaching design.

Re:amaze: How much does Re:amaze cost per team member?

Basic costs $29 per team member monthly, Pro costs $49, and Plus costs $69. An annual billing option provides 10 percent savings across all tiers.

Source
Level AI: Does it work without a cloud contact centre platform?

It needs recordings and metadata from somewhere. If your telephony does not expose those through an integration or API, this is not a fit.

Level AI: How long does implementation take?

Expect weeks, not days. Connecting systems is quick; getting scorecards calibrated to the point where team leaders act on the scores takes longer.

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