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CRM · head to head

Affinity vs Level AI

Affinity logo

Affinity

CRM

Relationship intelligence platform for professionals

From
$2000/year
Free plan
No
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

The short version

  • Each has a real cost: Affinity enterprise tier requires custom quote, pricing not transparent; 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: Affinity covers Contact management, 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 Affinity and Level AI actually diverge.

Attributes where Affinity and Level AI differ
AttributeAffinityLevel AI
Starting price$2000/yearOn request
Pricing modelsubscriptionquote
CategoryCRMCustomer Support
Founded2013Unknown

Identical on both: free tier (No), platforms (Web), 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 Affinity

  • Contact management
  • Deal tracking
  • Intelligence engine
  • Relationship mapping
  • Integration aggregation
  • Gmail
  • Outlook
  • LinkedIn

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.

Affinity

  • Deal sourcing and pipeline management for venture capital and private equitynot Level AI
  • Automatic capture of email and meeting activity into relationship recordsnot Level AI
  • Finding warm introductions through existing relationship networksnot Level AI
  • Investor relations and fundraising trackingnot Level AI
  • Portfolio company support and reportingnot 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 Affinity
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Affinity
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Affinity
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Affinity

Where each one falls short

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

Affinity

  • Enterprise tier requires custom quote, pricing not transparent
  • Scale tier API calls capped at 100000 per month
  • All plans charge per user annually

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

Affinity

$2000/year
  • Essential$2000/year
    • Activity capture (email and calendar)
    • Relationship scoring and interaction history
    • Deal pipeline tracking
  • Scale$2300/year
    • Automatic meeting capture (Notetaker)
    • AI Chat conversational access
    • Affinity Ascend agent platform
  • Advanced$2700/year
    • Third-party data enrichment (PitchBook, Dealroom, Crunchbase)
    • Company growth insights
    • Packaged integrations (Slack, Salesforce, Box)
  • Enterprise$null/year
    • Fund-level permissions
    • Enterprise SSO
    • Custom data retention

Level AI

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

Which should you pick?

Choose Affinity if

  • You need contact management.
  • You also want deal tracking.

Choose Level AI if

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

Questions people ask

Is Affinity or Level AI better?
Neither clearly leads. Affinity starts at $2000/year and Level AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Affinity or Level AI?
Affinity starts at $2000/year and Level AI at On request.
Does Affinity or Level AI run on more platforms?
Both run on Web, so platform support will not decide this one for you.
What is Affinity best used for?
Affinity is most often used for deal sourcing and pipeline management for venture capital and private equity, automatic capture of email and meeting activity into relationship records, finding warm introductions through existing relationship networks, investor relations and fundraising tracking. Of those, deal sourcing and pipeline management for venture capital and private equity and automatic capture of email and meeting activity into relationship records are not what Level AI is typically brought in for.
What can Affinity do that Level AI cannot?
Affinity covers Contact management, Deal tracking, Intelligence engine, Relationship mapping. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.

Answered from the vendors’ own pages

Affinity: How much does Affinity CRM cost per user?

Affinity CRM pricing starts at 2000 USD per user per year for the Essential plan, 2300 USD for Scale, and 2700 USD for Advanced. Enterprise tier requires custom pricing.

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.

Affinity: What is the API call limit on Affinity's Scale tier?

The Scale and Advanced tiers provide 100000 API calls per month. Enterprise tier customers receive unlimited API access.

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.

Affinity: Which Affinity tier includes Notetaker and MCP integration?

The Scale tier (2300 USD per user per year) includes automatic meeting capture via Notetaker and Model Context Protocol server integration for AI tool connections.

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.

Affinity: When does Affinity offer Enterprise SSO capabilities?

Enterprise SSO (single sign-on) capability is included only in the Enterprise tier, which requires custom pricing and is designed for established firms with multi-fund complexity.

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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