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Capacity vs Level AI

Capacity logo

Capacity

Live Chat

AI-powered customer service automation platform

From
On request
Free plan
No
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
Free plan
No
Full reviewWebsite

The short version

  • Each has a real cost: Capacity two-part pricing, an annual platform fee plus usage, so the bill is not knowable from the tier alone; 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: Capacity covers AI chatbot, 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 Capacity and Level AI actually diverge.

Attributes where Capacity and Level AI differ
AttributeCapacityLevel AI
Pricing modelsubscriptionquote
PlatformsWeb, Mobile, Chat widgets, APIWeb
CategoryLive ChatCustomer Support
Founded2016Unknown

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 Capacity

  • AI chatbot
  • Knowledge management
  • Multi-channel support
  • Analytics
  • Salesforce
  • Zendesk
  • Slack
  • ServiceNow

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.

Capacity

  • Knowledge base and helpdesk deflectionnot Level AI
  • AI agents answering across chat, voice, email and SMSnot Level AI
  • Real-time assistance for human agents on a callnot Level AI
  • Automating multi-step support workflowsnot Level AI
  • Regulated support environments needing the HIPAA packagenot 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 Capacity
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Capacity
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Capacity
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Capacity

Where each one falls short

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

Capacity

  • Two-part pricing, an annual platform fee plus usage, so the bill is not knowable from the tier alone
  • AI usage is metered by channel: per response on chat and email, per minute on voice and per message on SMS
  • Agent Assist and conversation intelligence are charged per hour of agent time on top
  • Live chat, agent assist and conversation intelligence require the Pro tier
  • The HIPAA package and advanced workflows are Enterprise only
  • No prices are published for any tier

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

Capacity

On request
  • Starter$125/month
    • AI chatbot
    • Up to 50 articles
  • Professional$300/month
    • Unlimited articles
    • Advanced AI
  • Enterprise$undefined/month
    • Full customization
    • Dedicated support

Level AI

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

Which should you pick?

Choose Capacity if

  • You need ai chatbot.
  • You work on Web, Mobile, Chat widgets, API.
  • You also want knowledge management.
Capacity review

Choose Level AI if

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

Questions people ask

Is Capacity or Level AI better?
Neither clearly leads. Capacity 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, Capacity or Level AI?
Capacity starts at On request and Level AI at On request.
Does Capacity or Level AI run on more platforms?
Capacity runs on Web, Mobile, Chat widgets, API. Level AI runs on Web.
What is Capacity best used for?
Capacity is most often used for knowledge base and helpdesk deflection, ai agents answering across chat, voice, email and sms, real-time assistance for human agents on a call, automating multi-step support workflows. Of those, knowledge base and helpdesk deflection and ai agents answering across chat, voice, email and sms are not what Level AI is typically brought in for.
What can Capacity do that Level AI cannot?
Capacity covers AI chatbot, Knowledge management, Multi-channel support, Analytics. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.

Answered from the vendors’ own pages

Capacity: How much does Capacity cost?

Capacity does not publish pricing on their website. The company uses a tiered platform model with usage-based add-ons, stating customers pay a platform fee plus usage-based pricing for AI Agents. Interested customers must contact their sales team or use the ROI calculator for custom quotes.

Source
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.

Capacity: What is Capacity's pricing model?

Capacity charges a platform fee for three tiers (Core, Pro, Enterprise) plus usage-based fees for Chat Agents (per response), Voice Agents (per minute), Email Agents (per response), SMS Agents (per message), and Agent Assist features (per hour of agent time).

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.

Capacity: What are Capacity's available tiers?

Capacity offers Core tier (essential tools to launch AI support), Pro tier (most popular, with live chat and conversation intelligence), and Enterprise tier (full suite with advanced compliance, HIPAA compliance available). Pricing requires contacting sales.

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.

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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