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Customer Support · head to head

Level AI vs Telesign

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
Telesign logo

Telesign

Telecommunications

Phone number verification and fraud scoring rather than general purpose messaging

From
On request
Free plan
No
Full reviewWebsite

The short version

  • 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.; Telesign risk scoring is probabilistic, so tuning thresholds trades fraud caught against genuine users blocked, and somebody has to own that trade-off continuously.
  • They diverge on capability: Level AI covers Automated QA scoring, Telesign covers Phone number verification.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Level AI and Telesign differ
AttributeLevel AITelesign
Pricing modelquotePer message and per verification, priced by destination country
PlatformsWebWeb, APIs, Java, Python, JavaScript, PHP, C#
CategoryCustomer SupportTelecommunications

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 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 Telesign

  • Phone number verification
  • Phone number intelligence
  • Risk scoring
  • Published SMS rate card
  • Delivery routing

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

Telesign

  • Consumer platforms blocking fake account creation at signupnot Level AI
  • Fintechs and marketplaces checking SIM swap history before a high value actionnot Level AI
  • Businesses suffering promotion and free trial abuse from disposable numbersnot Level AI
  • Products needing passcode delivery optimised for completion rather than lowest costnot 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.

Telesign

  • Risk scoring is probabilistic, so tuning thresholds trades fraud caught against genuine users blocked, and somebody has to own that trade-off continuously.
  • No voice pricing is published at all: every one of the 233 destinations in its public rate card lists voice as quote only, so voice cost cannot be modelled in advance.
  • It is a verification and risk product, so a business that also needs general purpose messaging will run a second vendor for that traffic.
  • Number intelligence quality varies by country because it depends on operator data availability, and coverage in some markets is thinner than the global claim implies.
  • The underlying carrier assets belong to its sibling companies rather than to Telesign, so network questions route back to a parent whose principal business is not developer APIs.

Pricing, plan by plan

Level AI

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

Telesign

On request
  • Telesign$undefined/month
    • SMS prices published for 233 destination countries
    • Every voice destination listed as quote only
    • Enterprise agreements normally tied to volume commitments

Which should you pick?

Choose Level AI if

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

Choose Telesign if

  • You need phone number verification.
  • You work on Web, APIs, Java, Python, JavaScript, PHP, C#.
  • You also want phone number intelligence.
Telesign review

Questions people ask

Is Level AI or Telesign better?
Neither clearly leads. Level AI starts at On request and Telesign at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Level AI or Telesign?
Level AI starts at On request and Telesign at On request.
Does Level AI or Telesign run on more platforms?
Level AI runs on Web. Telesign runs on Web, APIs, Java, Python, JavaScript, PHP, C#.
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 Telesign is typically brought in for.
What can Level AI do that Telesign cannot?
Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows. Telesign covers Phone number verification, Phone number intelligence, Risk scoring, Published SMS rate card.

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.

Telesign: Who owns Telesign?

Proximus, the Belgian telecommunications operator. It acquired Telesign in 2017 through its subsidiary BICS and has owned it outright since February 2021. Telesign now sits in Proximus Global alongside BICS and Route Mobile.

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.

Telesign: Did Telesign go public?

No. A merger with the North Atlantic Acquisition Corporation special purpose vehicle was announced in December 2021 at around 1.3 billion dollars and terminated on 1 July 2022, so it remained within Proximus.

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.

Telesign: Is Telesign a cheaper way to send one-time passcodes?

No, and that is not its purpose. It routes for verification completion and adds a risk judgement about the number. If you only need cheap message delivery, compare rate card vendors instead.

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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