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Customer Support · head to head

Ameyo vs Level AI

Ameyo logo

Ameyo

Customer Support

Omnichannel contact centre software available on-premise, cloud or hybrid

From
On request
Rated
-
Full reviewWebsite
Level AI logo

Level AI

Customer Support

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

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Ameyo no pricing is published anywhere for any deployment model, so budgeting requires a sales cycle and there is no way to sanity-check a quote against a public rate card.; 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: Ameyo covers Predictive and progressive dialling, 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 Ameyo and Level AI actually diverge.

Attributes where Ameyo and Level AI differ
AttributeAmeyoLevel AI
PlatformsWeb, On-premise, Private cloud, iOS, AndroidWeb

Identical on both: starting price (On request), pricing model (quote), 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 Ameyo

  • Predictive and progressive dialling
  • Omnichannel routing
  • On-premise deployment
  • Omnichannel helpdesk
  • Quality monitoring
  • Ameyo XTRM
  • Compliance controls
  • Supervisor analytics

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.

Ameyo

  • An Indian bank or insurer is barred by data localisation or internal policy from putting customer call recordings in a public cloud, and needs a contact centre platform that installs on its own infrastructure.not Level AI
  • A collections or telesales operation with hundreds of agents needs predictive dialling tuned for high contact volume, which the light cloud phone systems do not provide.not Level AI
  • A BPO serving Indian and Middle Eastern clients needs one platform that can be deployed on-premise for one client and in the cloud for another without retraining supervisors.not Level AI
  • An organisation wants voice, WhatsApp and email handled on a single agent desktop in a market where WhatsApp is the dominant customer channel.not 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 Ameyo
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Ameyo
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Ameyo
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Ameyo

Where each one falls short

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

Ameyo

  • No pricing is published anywhere for any deployment model, so budgeting requires a sales cycle and there is no way to sanity-check a quote against a public rate card.
  • On-premise deployment means you also buy servers, telephony connectivity, professional services and ongoing administration, and the licence is often the smaller half of the true cost.
  • The Exotel acquisition has moved investment towards the newer XTRM cloud line, which creates a real question about how long the classic on-premise product will receive substantial development.
  • It is engineered around large agent counts in low-cost labour markets, so a twenty-seat Western operation gets an interface and an implementation process designed for a very different scale.
  • Self-service is limited: unlike Talkdesk or Five9 there is no meaningful way to trial, configure and launch without vendor involvement, so time to first call is measured in weeks rather than days.

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

Ameyo

On request
  • Ameyo Cloud Contact Centre$undefined/year
    • Voice, omnichannel routing and dialler
    • Per agent licensing
    • No published rate card
  • Ameyo On-Premise$undefined/year
    • Installed on customer infrastructure
    • Perpetual or subscription licensing
    • Professional services and hardware costed separately
  • Ameyo XTRM by Exotel$undefined/year
    • CCaaS line with conversational AI
    • Quoted on application

Level AI

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

Which should you pick?

Choose Ameyo if

  • You need predictive and progressive dialling.
  • You work on Web, On-premise, Private cloud, iOS, Android.
  • You also want omnichannel routing.
Ameyo review

Choose Level AI if

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

Questions people ask

Is Ameyo or Level AI better?
Neither clearly leads. Ameyo 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, Ameyo or Level AI?
Ameyo starts at On request and Level AI at On request.
Does Ameyo or Level AI run on more platforms?
Ameyo runs on Web, On-premise, Private cloud, iOS, Android. Level AI runs on Web.
What is Ameyo best used for?
Ameyo is most often used for an indian bank or insurer is barred by data localisation or internal policy from putting customer call recordings in a public cloud, and needs a contact centre platform that installs on its own infrastructure., a collections or telesales operation with hundreds of agents needs predictive dialling tuned for high contact volume, which the light cloud phone systems do not provide., a bpo serving indian and middle eastern clients needs one platform that can be deployed on-premise for one client and in the cloud for another without retraining supervisors., an organisation wants voice, whatsapp and email handled on a single agent desktop in a market where whatsapp is the dominant customer channel.. Of those, an indian bank or insurer is barred by data localisation or internal policy from putting customer call recordings in a public cloud, and needs a contact centre platform that installs on its own infrastructure. and a collections or telesales operation with hundreds of agents needs predictive dialling tuned for high contact volume, which the light cloud phone systems do not provide. are not what Level AI is typically brought in for.
What can Ameyo do that Level AI cannot?
Ameyo covers Predictive and progressive dialling, Omnichannel routing, On-premise deployment, Omnichannel helpdesk. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.

Answered from the vendors’ own pages

Ameyo: Is Ameyo still a separate product after the Exotel acquisition?

Yes. It is branded Ameyo by Exotel and keeps its own website, product line and roadmap. It has not been folded into the Exotel product.

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.

Ameyo: Can I still deploy Ameyo on-premise?

Yes, and it is one of the few remaining contact centre platforms offering a genuine on-premise install alongside cloud and hybrid.

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.

Ameyo: What does Ameyo cost?

It is quote-only. Nothing is published for cloud or on-premise, and on-premise adds infrastructure and professional services on top of licensing.

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.

Ameyo: Where is it sold?

Primarily India and Southeast Asia, with customers in the Middle East and Africa. It is not a mainstream choice in Europe or North America.

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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