Customer Support · head to head
Cresta vs Level AI
Cresta
Customer Support
Real-time AI coaching and autonomous agents that sit on top of an existing contact centre platform
- From
- On request
- Rated
- -
Level AI
Customer Support
AI quality assurance and agent assist for mid-market and enterprise contact centres
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Cresta cresta depends on the CCaaS platforms it integrates with, and NICE, Genesys and Five9 are all shipping native real-time assist and auto-QA of their own, so at renewal you may be paying twice for capability your platform vendor will bundle at a discount.; 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: Cresta covers Real-time agent assist, 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 Cresta and Level AI actually diverge.
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 Cresta
- Real-time agent assist
- Autonomous AI Agent
- Conversation intelligence
- Automated quality management
- Behavioural coaching
- Knowledge surfacing
- Multilingual deployment
- Supervisor dashboards
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.
Cresta
- A 1,500-seat telecommunications sales centre that wants conversion lift from live agent prompting without migrating off an incumbent Genesys deploymentnot Level AI
- An insurance contact centre replacing manual QA sampling of two per cent of calls with automated scoring of every call for regulatory evidencenot Level AI
- A retail support operation deploying autonomous voice agents on high-volume order status calls while keeping humans on complex claimsnot Level AI
- A contact centre director who needs to prove which specific agent behaviours drive outcome differences, rather than relying on post-call survey scoresnot 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 Cresta
- A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Cresta
- A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Cresta
- A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Cresta
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cresta
- Cresta depends on the CCaaS platforms it integrates with, and NICE, Genesys and Five9 are all shipping native real-time assist and auto-QA of their own, so at renewal you may be paying twice for capability your platform vendor will bundle at a discount.
- Pricing is not published and contracts are seat-based and annual at enterprise scale, which in practice means six-figure commitments and a procurement cycle measured in months rather than weeks.
- Real-time guidance only pays back where conversation outcomes are measurable and repeatable, so support teams handling long, varied, low-volume cases rarely recover the licence cost.
- Deploying real-time assist requires agents to accept on-screen prompting mid-call, and contact centres with strong union representation or experienced tenured agents frequently see adoption resistance that no amount of model quality fixes.
- Automated quality scoring changes what agents are measured on, and organisations that switch from human QA without rewriting their evaluation rubric and appeals process create industrial-relations problems that surface months after go-live.
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
Cresta
On request- Cresta$undefined/year
- AI Agent
- Agent Assist
- Conversation Intelligence
Level AI
On request- Level AI$undefined/year
- Automated QA on all interactions
- Custom scorecards
- Semantic search
Which should you pick?
Choose Cresta if
- You need real-time agent assist.
- You work on Web, API.
- You also want autonomous ai agent.
Choose Level AI if
- You need automated qa scoring.
- You also want semantic intent search.
Questions people ask
- Is Cresta or Level AI better?
- Neither clearly leads. Cresta 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, Cresta or Level AI?
- Cresta starts at On request and Level AI at On request.
- Does Cresta or Level AI run on more platforms?
- Cresta runs on Web, API. Level AI runs on Web.
- What is Cresta best used for?
- Cresta is most often used for a 1,500-seat telecommunications sales centre that wants conversion lift from live agent prompting without migrating off an incumbent genesys deployment, an insurance contact centre replacing manual qa sampling of two per cent of calls with automated scoring of every call for regulatory evidence, a retail support operation deploying autonomous voice agents on high-volume order status calls while keeping humans on complex claims, a contact centre director who needs to prove which specific agent behaviours drive outcome differences, rather than relying on post-call survey scores. Of those, a 1,500-seat telecommunications sales centre that wants conversion lift from live agent prompting without migrating off an incumbent genesys deployment and an insurance contact centre replacing manual qa sampling of two per cent of calls with automated scoring of every call for regulatory evidence are not what Level AI is typically brought in for.
- What can Cresta do that Level AI cannot?
- Cresta covers Real-time agent assist, Autonomous AI Agent, Conversation intelligence, Automated quality management. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.
Answered from the vendors’ own pages
Cresta: Does Cresta replace my contact centre platform?
No. It is designed to sit on top of NICE, Genesys, Five9, Amazon Connect and similar platforms, which is why it is chosen where a full CCaaS migration is not feasible.
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.
Cresta: What does it cost?
Cresta does not publish pricing. Contracts are seat-based and annual, and at the enterprise scale it sells into they are typically six figures per year.
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.
Cresta: Is it viable for a contact centre under 100 seats?
Rarely. The commercial model, implementation effort and required outcome measurement all assume several hundred seats or more.
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.
Cresta: Who owns Cresta?
It is an independent venture-backed company, having raised roughly 282 million USD in total including a 125 million USD Series D in November 2024 co-led by World Innovation Lab and the Qatar Investment Authority.
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.
Related pages
Other head to heads
- Cresta vs Observe.AI
- Cresta vs Assembled
- Cresta vs Balto
- Cresta vs Playvox
- Cresta vs Alvaria
- Cresta vs UJET
- Cresta vs Sprinklr Service
- Cresta vs Calabrio ONE
- Cresta vs Dixa
- Cresta vs Dialpad Contact Center
- Cresta vs Forethought
- Cresta vs Jira Service Management
- Cresta vs Plain
- Cresta vs Richpanel
- Cresta vs Salesforce Service Cloud
- Cresta vs Zoho Desk
- Cresta vs Klaus
- Cresta vs Kapture CX
- Cresta vs Verint
- Cresta vs Ameyo
- Cresta vs LiveAgent
- Level AI vs Observe.AI
- Level AI vs Assembled
- Level AI vs Balto
- Level AI vs Playvox
- Level AI vs Alvaria
- Level AI vs UJET
- Level AI vs Sprinklr Service
- Level AI vs Calabrio ONE
- Level AI vs Dixa
- Level AI vs Dialpad Contact Center
- Level AI vs Forethought
- Level AI vs Jira Service Management
- Level AI vs Plain
- Level AI vs Richpanel
- Level AI vs Salesforce Service Cloud
- Level AI vs Zoho Desk
- Level AI vs Klaus
- Level AI vs Kapture CX
- Level AI vs Verint
- Level AI vs Ameyo
- Level AI vs LiveAgent