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Customer Support · head to head

Level AI vs Rasa

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
Rasa logo

Rasa

Live Chat

Open-source framework for building conversational AI

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Rasa 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.; Rasa free Developer Edition caps conversations at 1,000 external or 100 internal per company per month
  • They diverge on capability: Level AI covers Automated QA scoring, Rasa covers NLU engine.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Level AI and Rasa differ
AttributeLevel AIRasa
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWebOn-premise, Cloud deployment, Docker, Kubernetes
CategoryCustomer SupportLive Chat
FoundedUnknown2016

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 Rasa

  • NLU engine
  • Dialogue management
  • Multi-language support
  • Testing tools
  • Slack
  • Teams
  • Custom channels
  • API

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

Rasa

  • Developers self-hosting an open source conversational AI framework before needing enterprise scalenot 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.

Rasa

  • Free Developer Edition caps conversations at 1,000 external or 100 internal per company per month
  • Rasa Pro and the Business Plan (Pro plus Studio) are not priced on the site and require contacting sales

Pricing, plan by plan

Level AI

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

Rasa

Free
  • Free Developer EditionFree
    • One bot per company
    • Up to 1,000 external conversations per month or 100 internal conversations per month
    • Free Rasa license for local or production use
  • Rasa Pro$undefined/mo
    • Pro-code framework with CALM dialogue understanding
    • Language-agnostic NLU, enterprise search, multi-LLM management
    • Kubernetes support
  • Enterprise$undefined/mo
    • Full access to Rasa Platform and Premium Support
    • 24/7/365 support with Customer Success Manager
    • Business reviews and guidance

Which should you pick?

Choose Level AI if

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

Choose Rasa if

  • You need nlu engine.
  • You want to start without paying.
  • You work on On-premise, Cloud deployment, Docker, Kubernetes.
  • You also want dialogue management.
Rasa review

Questions people ask

Is Level AI or Rasa better?
Neither clearly leads. Level AI starts at On request and Rasa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Level AI or Rasa?
Rasa has a free tier; the other does not. Paid plans start at On request for Level AI and Free for Rasa.
Does Level AI or Rasa run on more platforms?
Level AI runs on Web. Rasa runs on On-premise, Cloud deployment, Docker, Kubernetes.
Can I use Rasa for free?
Yes. Rasa 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 Rasa is typically brought in for.
What can Level AI do that Rasa cannot?
Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows. Rasa covers NLU engine, Dialogue management, Multi-language support, Testing tools.

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.

Rasa: Does Rasa offer a free version?

Yes. Rasa offers a free Developer Edition with one bot per company, up to 1,000 external conversations per month, and free community support.

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.

Rasa: What support is included with Rasa's free tier?

The free tier includes community forum support with responses from Rasa community members. Paid tiers add premium support with enhanced response times.

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.

Rasa: What is the difference between Rasa Pro and Enterprise?

Rasa Pro includes the pro-code framework with advanced NLU and multi-LLM management. Enterprise adds full platform access, 24/7 support, dedicated Customer Success Manager, and business reviews.

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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