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Haptik vs Level AI

Haptik logo

Haptik

Live Chat

Conversational AI platform for customer engagement and support

From
On request
Free plan
No
Level AI logo

Level AI

Customer Support

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

From
On request
Free plan
No

The short version

  • Each has a real cost: Haptik no pricing is published, and no tier, cost structure or minimum is disclosed; 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: Haptik covers Conversational AI, 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 Haptik and Level AI actually diverge.

Attributes where Haptik and Level AI differ
AttributeHaptikLevel AI
Pricing modelsubscriptionquote
PlatformsWeb, Mobile, Messaging apps, VoiceWeb
CategoryLive ChatCustomer Support
Founded2013Unknown

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated).

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 Haptik

  • Conversational AI
  • Multi-channel support
  • Intent recognition
  • Analytics
  • WhatsApp
  • Facebook
  • Slack
  • API

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.

Haptik

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

Where each one falls short

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

Haptik

  • No pricing is published, and no tier, cost structure or minimum is disclosed
  • The only routes to a figure are a demo request or an enterprise sales email

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

Haptik

On request
  • Starter$100/month
    • Basic chatbot
    • 1 channel
  • Professional$300/month
    • Advanced AI
    • Multi-channel
  • Enterprise$undefined/month
    • Custom solutions
    • Dedicated support

Level AI

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

Which should you pick?

Choose Haptik if

  • You need conversational ai.
  • You work on Web, Mobile, Messaging apps, Voice.
  • You also want multi-channel support.

Choose Level AI if

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

Questions people ask

Is Haptik or Level AI better?
Neither clearly leads. Haptik starts at On request and Level AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Haptik or Level AI?
Haptik starts at On request and Level AI at On request.
Does Haptik or Level AI run on more platforms?
Haptik runs on Web, Mobile, Messaging apps, Voice. Level AI runs on Web.
What is Haptik best used for?
Haptik is most often used for building conversational ai assistants for customer support, automating customer conversations across messaging channels. Of those, building conversational ai assistants for customer support and automating customer conversations across messaging channels are not what Level AI is typically brought in for.
What can Haptik do that Level AI cannot?
Haptik covers Conversational AI, Multi-channel support, Intent recognition, Analytics. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.

Answered from the vendors’ own pages

Haptik: How much does Haptik cost?

Haptik does not publish pricing. The platform uses a custom enterprise pricing model requiring direct contact with sales.

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.

Haptik: How can I get Haptik pricing?

Contact Haptik by requesting a demo or emailing [email protected] to receive personalized pricing based on deployment scale, features needed, and organizational requirements.

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.

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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