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Customer Support · head to head

Level AI vs Seamless.AI

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
Seamless.AI logo

Seamless.AI

CRM

Sales lead search engine for finding contact and company data

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Seamless.AI 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.; Seamless.AI pro and Enterprise pricing is not published and requires contacting sales.
  • They diverge on capability: Level AI covers Automated QA scoring, Seamless.AI covers Contact search.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Level AI and Seamless.AI differ
AttributeLevel AISeamless.AI
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWebweb, api
CategoryCustomer SupportCRM

Identical on both: 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 Seamless.AI

  • Contact search
  • Real-time search engine
  • Job change alerts
  • Buyer intent data
  • CRM and API integrations
  • Enterprise security

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

Seamless.AI

  • B2B sales teams building prospecting listsnot Level AI
  • Finding verified emails and phone numbers for outreachnot Level AI
  • Tracking job changes among target contactsnot Level AI
  • Identifying accounts showing buyer intentnot 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.

Seamless.AI

  • Pro and Enterprise pricing is not published and requires contacting sales.
  • Free plan is limited to just 50 credits and a single user.
  • Data accuracy for contact details can vary and requires verification before outreach.
  • Credit-based usage model means heavy prospecting can exhaust allotments quickly.

Pricing, plan by plan

Level AI

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

Seamless.AI

Free
  • FreeFree
    • 1 user
    • 50 credits
    • Email and cell phone search
  • Pro$undefined/mo
    • Per-user pricing
    • Unlimited exports
    • Annual credit packages
  • Enterprise$undefined/mo
    • Unlimited users
    • Custom credit allotments
    • Dedicated success manager

Which should you pick?

Choose Level AI if

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

Choose Seamless.AI if

  • You need contact search.
  • You want to start without paying.
  • You work on web, api.
  • You also want real-time search engine.
Seamless.AI review

Questions people ask

Is Level AI or Seamless.AI better?
Neither clearly leads. Level AI starts at On request and Seamless.AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Level AI or Seamless.AI?
Seamless.AI has a free tier; the other does not. Paid plans start at On request for Level AI and Free for Seamless.AI.
Does Level AI or Seamless.AI run on more platforms?
Level AI runs on Web. Seamless.AI runs on web, api.
Can I use Seamless.AI for free?
Yes. Seamless.AI 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 Seamless.AI is typically brought in for.
What can Level AI do that Seamless.AI cannot?
Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows. Seamless.AI covers Contact search, Real-time search engine, Job change alerts, Buyer intent data.

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.

Seamless.AI: Is there a free plan, and what are its limits?

Yes, the Free plan includes 1 user and 50 credits, with access to email and cell phone search, real-time search, and API access.

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.

Seamless.AI: How is usage metered on Seamless.AI?

Seamless.AI uses a credit system where credits are consumed to research contact details; paid Pro plans start with larger annual credit packages than the Free plan.

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.

Seamless.AI: Does Seamless.AI have an API?

Yes, API access is included even on the Free plan, alongside export and integration capabilities on paid plans.

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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