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AI · head to head

Avathon vs Banana

Avathon logo

Avathon

AI

Industrial AI for asset performance and renewables, formerly SparkCognition

From
On request
Rated
-
Banana logo

Banana

AI

ML inference at scale

From
$1200/month
Rated
-

The short version

  • Each has a real cost: 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.; Banana banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time
  • They diverge on capability: Avathon covers Renewable Suite, Banana covers GPU inference.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Avathon and Banana actually diverge.

Attributes where Avathon and Banana differ
AttributeAvathonBanana
Starting priceOn request$1200/month
Pricing modelquotesubscription
PlatformsWeb, CloudCloud, Api
FoundedUnknown2021

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

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 Avathon

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

Only in Banana

  • GPU inference
  • Auto-scaling
  • Docker deployment
  • Low latency
  • REST API
  • Python SDK
  • Cloud support
  • Api support

What people use each for

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

Avathon

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

Banana

  • Historically, serverless GPU inference for machine learning modelsnot Avathon
  • Migration reference for teams that ran models on Banana before the 2024 shutdownnot Avathon

Where each one falls short

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

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.

Banana

  • Banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time
  • The vendor's own sunset notice names limited runway, retention problems and GPU supply constraints as the reasons for closing
  • The banana.dev site still displays pricing tiers, but every tier links to the sunset notice rather than to a purchase

Pricing, plan by plan

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

Banana

$1200/month
  • Team$1200/month
    • 10 team members
    • 5 projects
    • 50 max parallel GPUs
  • Enterprise$null/custom
    • Custom seat limit
    • Custom GPU configuration

Which should you pick?

Choose Avathon if

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

Choose Banana if

  • You need gpu inference.
  • You work on Cloud, Api.
  • You also want auto-scaling.

Questions people ask

Is Avathon or Banana better?
Neither clearly leads. Avathon starts at On request and Banana at $1200/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Avathon or Banana?
Avathon starts at On request and Banana at $1200/month.
Does Avathon or Banana run on more platforms?
Avathon runs on Web, Cloud. Banana runs on Cloud, Api.
What is Avathon best used for?
Avathon is most often used for a wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm count, a solar independent power producer detecting inverter and string underperformance that falls below the scada alarm threshold, a manufacturer with years of historian data and failure records who wants failure prediction models trained on their own history, a site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zones. Of those, a wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm count and a solar independent power producer detecting inverter and string underperformance that falls below the scada alarm threshold are not what Banana is typically brought in for.
What can Avathon do that Banana cannot?
Avathon covers Renewable Suite, Loss attribution, Predictive maintenance models, Computer vision. Banana covers GPU inference, Auto-scaling, Docker deployment, Low latency.

Answered from the vendors’ own pages

Avathon: Is this the same company as SparkCognition?

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

Banana: How much does Banana's Team plan cost?

The Team plan costs $1,200 per month plus the cost of compute resources at cost with zero markup applied.

Source
Avathon: Which product is most mature?

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

Banana: What is the maximum team size on Banana's Team plan?

The Team plan includes 10 team members and supports a maximum of 5 projects with up to 50 parallel GPUs.

Source
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.

Banana: Does Banana offer an Enterprise plan with custom pricing?

Banana offers an Enterprise plan with custom pricing plus at-cost compute, including SAML SSO, automation API, and dedicated support.

Source
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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