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Customer Support · head to head

Level AI vs Lusha

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
Full reviewWebsite
Lusha logo

Lusha

CRM

B2B contact and company intelligence

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Lusha 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.; Lusha teams over 5 users must contact sales for configuration; no published per-user limits for standard plans
  • They diverge on capability: Level AI covers Automated QA scoring, Lusha covers Contact database.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Level AI and Lusha differ
AttributeLevel AILusha
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
CategoryCustomer SupportCRM
FoundedUnknown2016

Identical on both: platforms (Web), 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 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 Lusha

  • Contact database
  • Email search
  • Company intelligence
  • Email verification
  • Chrome extension
  • Integrations
  • Salesforce
  • HubSpot

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

Lusha

  • Lead generationnot Level AI
  • Contact researchnot Level AI
  • Email verificationnot 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.

Lusha

  • Teams over 5 users must contact sales for configuration; no published per-user limits for standard plans
  • Unused credits on monthly plans roll over but cap at twice the monthly limit, creating potential waste
  • Annual plans do not roll over unused credits; they reset at cycle end

Pricing, plan by plan

Level AI

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

Lusha

Free
  • FreeFree
    • 40 credits per month
    • Basic prospecting features
    • Browser extension
  • Starter$49.9/month
    • 400 credits per month
    • All Free plan features
  • Professional$69.9/month
    • 600 credits per month
    • All Starter features
  • Premium$399.9/month
    • 3,400 credits per month
    • All Professional features

Which should you pick?

Choose Level AI if

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

Choose Lusha if

  • You need contact database.
  • You want to start without paying.
  • You also want email search.
Lusha review

Questions people ask

Is Level AI or Lusha better?
Neither clearly leads. Level AI starts at On request and Lusha at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Level AI or Lusha?
Lusha has a free tier; the other does not. Paid plans start at On request for Level AI and Free for Lusha.
Does Level AI or Lusha run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Lusha for free?
Yes. Lusha 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 Lusha is typically brought in for.
What can Level AI do that Lusha cannot?
Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows. Lusha covers Contact database, Email search, Company intelligence, Email verification.

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.

Lusha: What does Lusha's Free plan include?

Lusha's Free plan provides 40 credits per month at no cost. It includes basic prospecting features, browser extension access, and CRM integrations. Credits are used for email reveals (1 credit per contact) and phone numbers (10 credits per contact).

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.

Lusha: How do Lusha credits work and what is the credit rollover policy?

Lusha uses a credit system where email reveals cost 1 credit and phone reveals cost 10 credits per contact. On monthly plans, unused credits roll over and accumulate up to twice your monthly credit limit. Annual plans reset unused credits at the cycle's end without rollover.

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.

Lusha: What is the annual pricing for Lusha plans?

Lusha offers annual pricing at a discount: Starter is $449.10/year (4,800 credits annually), Professional is $587.16/year (7,200 credits), and Premium is $3,119.21/year (40,800 credits). Annual plans are cheaper per credit than monthly but do not roll over unused credits.

Source
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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