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Cybersecurity · head to head

Quantexa vs Spot AI

Quantexa logo

Quantexa

Cybersecurity

Entity resolution and network analytics for financial crime investigation

From
On request
Rated
-
Spot AI logo

Spot AI

Cybersecurity

Cloud video intelligence that runs on your existing cameras through an on-site recorder

From
$99/month
Rated
-

The short version

  • Each has a real cost: Quantexa pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.; Spot AI at roughly $99 per camera per month the all-in rate is high against a perpetual VMS licence: 200 cameras is around $240,000 a year, recurring, where an on-premise system would be largely a one-time cost.
  • They diverge on capability: Quantexa covers Entity resolution, Spot AI covers Camera agnostic.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Quantexa and Spot AI actually diverge.

Attributes where Quantexa and Spot AI differ
AttributeQuantexaSpot AI
Starting priceOn request$99/month
Pricing modelquotePer camera per month, all inclusive
PlatformsWeb, LinuxWeb, iOS, Android

Identical on both: free tier (No), user rating (Not yet rated), category (Cybersecurity).

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 Quantexa

  • Entity resolution
  • Network generation
  • Contextual monitoring
  • Investigation workspace
  • Data fusion
  • Deployment on customer cloud

Only in Spot AI

  • Camera agnostic
  • Intelligent Video Recorder
  • AI video search
  • Operational analytics
  • Cloud management
  • Alerting and clip sharing
  • All-in per-camera pricing

What people use each for

The jobs each tool is most often brought in to do.

Quantexa

  • A bank whose AML alert backlog is dominated by false positives and wants network context to close them fasternot Spot AI
  • Sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholdernot Spot AI
  • Merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposurenot Spot AI
  • A tax or benefits agency looking for organised fraud rings rather than individual claimantsnot Spot AI

Spot AI

  • A manufacturer with hundreds of existing cameras that wants cloud search without replacing any of themnot Quantexa
  • A logistics operator investigating dock door delays and trailer dwell time from footagenot Quantexa
  • A retail chain reviewing incidents across dozens of stores without a VPN into each sitenot Quantexa
  • A safety team detecting forklift near-misses and missing personal protective equipment automaticallynot Quantexa

Where each one falls short

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

Quantexa

  • Pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
  • Output quality is bounded by input data quality, and organisations without governed customer data spend the first phase of the programme fixing feeds rather than catching criminals.
  • Implementation typically requires a systems integrator and runs into quarters rather than weeks, so the business case has to survive a long period with no operational benefit.
  • The platform augments rather than replaces existing transaction monitoring, so you keep paying for the incumbent system alongside it and total compliance technology spend rises before it falls.
  • Skills are scarce; the platform needs people who understand both Spark scale data engineering and financial crime typologies, and those people are hard to recruit and easy to lose.

Spot AI

  • At roughly $99 per camera per month the all-in rate is high against a perpetual VMS licence: 200 cameras is around $240,000 a year, recurring, where an on-premise system would be largely a one-time cost.
  • Reusing existing cameras saves capital but caps quality; AI analytics on a fifteen-year-old analogue camera produces correspondingly poor results and no software fixes the optics.
  • Per-camera monthly billing scales linearly with camera count, so adding coverage is always expensive and there is no volume point where marginal cameras become cheap.
  • The on-site IVR is a single point of failure per location, so an appliance fault takes that site's recording and cloud access with it until it is replaced.
  • It is a subscription with no perpetual option, so an organisation that stops paying loses the platform entirely and is left with cameras and no management system.

Pricing, plan by plan

Quantexa

On request
  • Quantexa Platform$undefined/year
    • Entity resolution and network generation
    • Deployed in customer cloud tenancy
    • Priced by data volume and use case count

Spot AI

$99/month
  • Spot AI$99/month
    • Reference rate of roughly $99 per camera per month
    • Includes the on-site IVR appliance, cloud software, AI and support
    • Monthly, annual and multi-year terms available

Which should you pick?

Choose Quantexa if

  • You need entity resolution.
  • You work on Web, Linux.
  • You also want network generation.

Choose Spot AI if

  • You need camera agnostic.
  • You work on Web, iOS, Android.
  • You also want intelligent video recorder.

Questions people ask

Is Quantexa or Spot AI better?
Neither clearly leads. Quantexa starts at On request and Spot AI at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Quantexa or Spot AI?
Quantexa starts at On request and Spot AI at $99/month.
Does Quantexa or Spot AI run on more platforms?
Quantexa runs on Web, Linux. Spot AI runs on Web, iOS, Android.
What is Quantexa best used for?
Quantexa is most often used for a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster, sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder, merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposure, a tax or benefits agency looking for organised fraud rings rather than individual claimants. Of those, a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster and sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder are not what Spot AI is typically brought in for.
What can Quantexa do that Spot AI cannot?
Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace. Spot AI covers Camera agnostic, Intelligent Video Recorder, AI video search, Operational analytics.

Answered from the vendors’ own pages

Quantexa: Does Quantexa replace our transaction monitoring system?

No. It usually sits alongside it, adding network context to the alerts that system generates and to investigations.

Spot AI: Do I have to buy new cameras?

No. That is the main point of the product: the IVR appliance connects to existing IP and analogue cameras.

Quantexa: Where does our data go?

Into your own cloud tenancy in the normal deployment model. Quantexa does not require you to send customer data to a shared multi-tenant service.

Spot AI: What does it cost?

The reference rate that recurs across pricing breakdowns and Spot AI materials is roughly $99 per camera per month, bundling the appliance, cloud software, AI and support.

Quantexa: How is it priced?

Not publicly. Expect an annual subscription scaled by data volume and number of use cases, plus separate implementation cost.

Spot AI: Is there a perpetual licence option?

No. It is subscription only, and the platform stops working when the subscription does.

Spot AI: Will AI analytics work on my old analogue cameras?

They will run, but detection quality follows image quality. Old low resolution cameras produce poor analytics results.

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