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Manufacturing · head to head

Augury vs Avathon

Augury logo

Augury

Manufacturing

Machine health monitoring sold as a per-machine annual service including sensors, installation and analyst diagnostics

From
On request
Rated
-
Avathon logo

Avathon

AI

Industrial AI for asset performance and renewables, formerly SparkCognition

From
On request
Rated
-

The short version

  • Each has a real cost: Augury the per-machine annual fee never stops, so over a five to eight year horizon the total exceeds buying sensors and software outright and running the programme yourself.; Avathon the company rebranded from SparkCognition to Avathon and narrowed its focus after repeated reported layoff rounds, so reference checks and roadmap commitments made under the old name need reconfirming.
  • They diverge on capability: Augury covers Halo sensors, Avathon covers Renewable Suite.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Augury and Avathon actually diverge.

Attributes where Augury and Avathon differ
AttributeAuguryAvathon
PlatformsWeb, iOS, AndroidWeb, Cloud
CategoryManufacturingAI

Identical on both: starting price (On request), pricing model (quote), 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 Augury

  • Halo sensors
  • Diagnostics as a Service
  • Named fault diagnosis
  • Process Health
  • CMMS integration
  • Installation included
  • Fleet views
  • Unlimited users

Only in Avathon

  • Renewable Suite
  • Loss attribution
  • Predictive maintenance models
  • Computer vision
  • Digital twin models
  • Work order integration
  • Fleet benchmarking
  • Document intelligence

What people use each for

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

Augury

  • A food plant with 200 similar motors and pumps and no vibration analyst on staffnot Avathon
  • A multi-site manufacturer that needs one reliability picture across plants without standardising their maintenance teamsnot Avathon
  • An operator whose capex budget will not approve sensor hardware but whose opex budget will approve a servicenot Avathon
  • A site trying to move from calendar-based motor overhauls to condition-based intervals with defensible evidencenot Avathon

Avathon

  • A wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm countnot Augury
  • A solar independent power producer detecting inverter and string underperformance that falls below the SCADA alarm thresholdnot Augury
  • A manufacturer with years of historian data and failure records who wants failure prediction models trained on their own historynot Augury
  • A site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zonesnot Augury

Where each one falls short

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

Augury

  • The per-machine annual fee never stops, so over a five to eight year horizon the total exceeds buying sensors and software outright and running the programme yourself.
  • Coverage is aimed at standard rotating equipment; reciprocating compressors, very low-speed machinery and non-rotating assets are poorly served, so you still need a second monitoring approach.
  • Diagnoses depend on Augurys analysts, which means the quality of your programme is set by a vendor queue you do not control and turnaround is not something you can escalate internally.
  • The sensors and the analytics are one system, so leaving Augury means removing the hardware and starting again; there is no path to keep the sensors and change the software.
  • Pricing is unpublished and negotiated per fleet, so buyers have no benchmark and comparable plants can pay materially different per-machine rates.

Avathon

  • The company rebranded from SparkCognition to Avathon and narrowed its focus after repeated reported layoff rounds, so reference checks and roadmap commitments made under the old name need reconfirming.
  • Headcount is in the low hundreds against a product portfolio spanning renewables, vision, predictive maintenance and document AI, which is thin coverage per product line for enterprise support expectations.
  • Model accuracy depends on having enough labelled historical failures, and sites with short data history or poor maintenance record-keeping get generic anomaly detection rather than useful failure prediction.
  • Nothing is published about pricing or asset-count thresholds, so there is no way to judge whether a small fleet is even a viable customer without entering a sales cycle.
  • It sits on top of your SCADA and CMMS rather than replacing them, so the integration and asset-hierarchy mapping work is a real project cost that the software subscription does not cover.

Pricing, plan by plan

Augury

On request
  • Machine Health$undefined/year
    • Flat annual fee per monitored machine
    • Sensors, gateway, connectivity and installation included
    • Unlimited users and unlimited diagnostic reviews

Avathon

On request
  • Avathon$undefined/year
    • Annual subscription sized by asset count or installed megawatts for renewables
    • Separate pricing for vision, predictive maintenance and document products
    • Model development and data onboarding quoted as a professional services project

Which should you pick?

Choose Augury if

  • You need halo sensors.
  • You work on Web, iOS, Android.
  • You also want diagnostics as a service.

Choose Avathon if

  • You need renewable suite.
  • You work on Web, Cloud.
  • You also want loss attribution.

Questions people ask

Is Augury or Avathon better?
Neither clearly leads. Augury starts at On request and Avathon at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Augury or Avathon?
Augury starts at On request and Avathon at On request.
Does Augury or Avathon run on more platforms?
Augury runs on Web, iOS, Android. Avathon runs on Web, Cloud.
What is Augury best used for?
Augury is most often used for a food plant with 200 similar motors and pumps and no vibration analyst on staff, a multi-site manufacturer that needs one reliability picture across plants without standardising their maintenance teams, an operator whose capex budget will not approve sensor hardware but whose opex budget will approve a service, a site trying to move from calendar-based motor overhauls to condition-based intervals with defensible evidence. Of those, a food plant with 200 similar motors and pumps and no vibration analyst on staff and a multi-site manufacturer that needs one reliability picture across plants without standardising their maintenance teams are not what Avathon is typically brought in for.
What can Augury do that Avathon cannot?
Augury covers Halo sensors, Diagnostics as a Service, Named fault diagnosis, Process Health. Avathon covers Renewable Suite, Loss attribution, Predictive maintenance models, Computer vision.

Answered from the vendors’ own pages

Augury: Do I buy the sensors?

No. Sensors, gateways, connectivity and installation are included in the per-machine annual fee.

Avathon: Is this the same company as SparkCognition?

Yes. SparkCognition rebranded to Avathon and refocused on industrial and government asset AI.

Augury: Is there a per-user licence?

No. The web application allows unlimited users; the meter is monitored machines.

Avathon: Which product is most mature?

The renewable energy suite for wind and solar underperformance, which has the longest production deployment history.

Augury: Who does the diagnosis?

Machine-learning models flag issues and Augury vibration analysts review them before a finding is released to you.

Avathon: Does it need my historian data in the cloud?

Generally yes for model training and ongoing scoring, which is a security review item for utility and defence customers.

Augury: What happens if we cancel?

The sensors are part of the service and monitoring stops; you do not retain a usable standalone system.

Avathon: Can it work without historical failure records?

It will still do anomaly detection, but failure prediction models need labelled historical failures to be worth the deployment cost.

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