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Customer Support · head to head

Gladly vs Level AI

Gladly logo

Gladly

Customer Support

Radically personal customer service

From
$180/month
Rated
-
Level AI logo

Level AI

Customer Support

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

From
On request
Rated
-

The short version

  • Each has a real cost: Gladly no pricing is published at any level, and the pricing page states no per agent cost, per conversation rate, minimum commitment or feature tiers; 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.
  • They diverge on capability: Gladly covers Lifelong conversation, Level AI covers Automated QA scoring.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Gladly and Level AI actually diverge.

Attributes where Gladly and Level AI differ
AttributeGladlyLevel AI
Starting price$180/monthOn request
Pricing modelsubscriptionquote
PlatformsWeb, Ios, AndroidWeb
Founded2014Unknown

Identical on both: free tier (No), 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 Gladly

  • Lifelong conversation
  • Omnichannel support
  • Customer timeline
  • Task management
  • Knowledge base
  • IVR
  • Shopify
  • Salesforce

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

What people use each for

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

Gladly

  • Customer service built around a single customer record rather than ticketsnot Level AI
  • Handling support conversations across voice, messaging and emailnot Level AI

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 Gladly
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Gladly
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Gladly
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Gladly

Where each one falls short

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

Gladly

  • No pricing is published at any level, and the pricing page states no per agent cost, per conversation rate, minimum commitment or feature tiers
  • The pricing page presents outcome statistics in place of any cost information
  • Every route to a figure goes through a demo or sales conversation

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.

Pricing, plan by plan

Gladly

$180/month
  • Hero$180/month
    • All channels
    • Customer timeline
    • Knowledge base
  • Superhero$210/month
    • Everything in Hero
    • Custom reporting
    • Advanced rules

Level AI

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

Which should you pick?

Choose Gladly if

  • You need lifelong conversation.
  • You work on Web, Ios, Android.
  • You also want omnichannel support.

Choose Level AI if

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

Questions people ask

Is Gladly or Level AI better?
Neither clearly leads. Gladly starts at $180/month and Level AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Gladly or Level AI?
Gladly starts at $180/month and Level AI at On request.
Does Gladly or Level AI run on more platforms?
Gladly runs on Web, Ios, Android. Level AI runs on Web.
What is Gladly best used for?
Gladly is most often used for customer service built around a single customer record rather than tickets, handling support conversations across voice, messaging and email. Of those, customer service built around a single customer record rather than tickets and handling support conversations across voice, messaging and email are not what Level AI is typically brought in for.
What can Gladly do that Level AI cannot?
Gladly covers Lifelong conversation, Omnichannel support, Customer timeline, Task management. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.

Answered from the vendors’ own pages

Gladly: How much does Gladly cost?

Gladly does not publish pricing on its website. The vendor directs prospective customers to request a demo or contact the sales team for custom pricing tailored to organizational needs.

Source
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.

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.

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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