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Developer Tools · head to head

Cortex vs Spot AI

Cortex logo

Cortex

Developer Tools

Internal developer portal that scores service ownership and maturity rather than just cataloguing services

From
On request
Free plan
No
Full reviewWebsite
Spot AI logo

Spot AI

Cybersecurity

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

From
$99/month
Free plan
No
Full reviewWebsite

The short version

  • Each has a real cost: Cortex pricing is quote only, so a platform team cannot build a business case or compare against the true cost of self-hosted Backstage without entering a sales cycle first.; 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: Cortex covers Service catalogue, Spot AI covers Camera agnostic.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cortex and Spot AI differ
AttributeCortexSpot AI
Starting priceOn request$99/month
Pricing modelquotePer camera per month, all inclusive
PlatformsWeb, APIWeb, iOS, Android
CategoryDeveloper ToolsCybersecurity

Identical on both: 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 Cortex

  • Service catalogue
  • Scorecards
  • Initiatives
  • Self-service templates
  • Query language
  • Eng intelligence
  • Integrations layer
  • On-call and ownership mapping

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.

Cortex

  • A platform team that needs to prove to leadership how far a Kubernetes or framework migration has actually progressed across hundreds of servicesnot Spot AI
  • An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot Spot AI
  • Enforcing production readiness standards on new services at creation time rather than at incident reviewnot Spot AI
  • Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot Spot AI

Spot AI

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

Where each one falls short

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

Cortex

  • Pricing is quote only, so a platform team cannot build a business case or compare against the true cost of self-hosted Backstage without entering a sales cycle first.
  • The catalogue is only as accurate as the metadata you supply, so an organisation with inconsistent repository conventions spends its first quarter cleaning data before any scorecard means anything.
  • Scorecards create political friction: publishing a per-team grade turns an engineering standard into a performance metric, and teams will game the rules rather than fix the underlying issue.
  • It is closed source and hosted, so organisations with strict data residency or air-gap requirements have limited options compared with running Backstage themselves.
  • Value scales with organisation size, so a company with fifty engineers and thirty services will find the catalogue tells them nothing they did not already know while still paying an enterprise contract.

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

Cortex

On request
  • Cortex$undefined/year
    • Service catalogue and ownership mapping
    • Scorecards and initiatives
    • Self-service templates

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 Cortex if

  • You need service catalogue.
  • You work on Web, API.
  • You also want scorecards.
Cortex review

Choose Spot AI if

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

Questions people ask

Is Cortex or Spot AI better?
Neither clearly leads. Cortex 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, Cortex or Spot AI?
Cortex starts at On request and Spot AI at $99/month.
Does Cortex or Spot AI run on more platforms?
Cortex runs on Web, API. Spot AI runs on Web, iOS, Android.
What is Cortex best used for?
Cortex is most often used for a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services, an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions, enforcing production readiness standards on new services at creation time rather than at incident review, replacing a self-hosted backstage that is consuming a full-time engineer or two just to stay upgraded. Of those, a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services and an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions are not what Spot AI is typically brought in for.
What can Cortex do that Spot AI cannot?
Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates. Spot AI covers Camera agnostic, Intelligent Video Recorder, AI video search, Operational analytics.

Answered from the vendors’ own pages

Cortex: How is Cortex different from Backstage?

Backstage is an open source framework you build and staff. Cortex is a hosted product with scorecards and initiatives out of the box and no platform team required to keep it running.

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.

Cortex: Is pricing published?

No. Cortex requires a sales conversation and prepares a custom proposal.

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.

Cortex: Can it self-host?

It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.

Spot AI: Is there a perpetual licence option?

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

Cortex: What is the main adoption risk?

Bad or missing service metadata. The catalogue and every scorecard on top of it inherit whatever quality your repositories already have.

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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