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AI · head to head

C3 AI Suite vs Novity

C3 AI Suite logo

C3 AI Suite

AI

Model-driven application platform for building enterprise AI on top of existing operational systems

From
On request
Rated
-
Full reviewWebsite
Novity logo

Novity

Energy

Hybrid physics and machine learning prognostics that estimate remaining useful life for process equipment

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: C3 AI Suite the commercial model bundles software with heavy professional services, so the licence line in the quote understates the first-year cost by a wide margin and budgets set from the licence alone overrun.; Novity novity is a small venture-backed company with a strategic investor rather than a profitable business, so continuity risk is real and the Tokyo Gas investment signals a likely eventual acquisition that would reset the roadmap.
  • They diverge on capability: C3 AI Suite covers Type system, Novity covers TruPrognostics engine.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which C3 AI Suite and Novity actually diverge.

Attributes where C3 AI Suite and Novity differ
AttributeC3 AI SuiteNovity
PlatformsWeb, LinuxWeb, Cloud
CategoryAIEnergy

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 C3 AI Suite

  • Type system
  • Pre-built applications
  • Model lifecycle
  • C3 Generative AI
  • Multi-cloud deployment
  • FedRAMP and IL environments

Only in Novity

  • TruPrognostics engine
  • Cold-start modelling
  • Fault mode diagnosis
  • Remaining useful life
  • Existing sensor reuse
  • Recommended actions
  • Historian connectors
  • Asset class libraries

What people use each for

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

C3 AI Suite

  • A utility with decades of SCADA history wanting failure prediction on transformers without hiring a data science teamnot Novity
  • A defence agency needing an AI platform accredited for classified environments rather than a commercial SaaSnot Novity
  • An oil and gas operator consolidating condition data from OSIsoft PI, SAP and bespoke historians into one modelnot Novity
  • A bank building transaction monitoring where the vendor supplies both the models and the analysts who tune themnot Novity

Novity

  • A gas processing plant that needs a defensible time-to-failure number before deferring a turnaroundnot C3 AI Suite
  • An LNG terminal with critical compressors and no run-to-failure history to train a conventional modelnot C3 AI Suite
  • A wastewater operator whose existing vibration alarms are ignored because they carry no severity or horizonnot C3 AI Suite
  • A generator operator supplying data centre load where an unplanned trip carries contractual penaltiesnot C3 AI Suite

Where each one falls short

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

C3 AI Suite

  • The commercial model bundles software with heavy professional services, so the licence line in the quote understates the first-year cost by a wide margin and budgets set from the licence alone overrun.
  • Applications are written against C3 proprietary types, so nothing built on the platform ports to a generic Spark or Databricks stack without a rewrite, which makes exit expensive after two or three years.
  • Contracts have historically been large multi-year commitments with a small number of very large customers, which means pricing is negotiated case by case and small buyers get little leverage.
  • Skills are scarce outside C3 itself, so hiring an engineer who already knows the platform is hard and the customer stays dependent on the vendor for extensions.
  • Pre-built applications need substantial configuration against the customer data model before they produce anything, so the marketing claim of a packaged app understates the integration work by months.

Novity

  • Novity is a small venture-backed company with a strategic investor rather than a profitable business, so continuity risk is real and the Tokyo Gas investment signals a likely eventual acquisition that would reset the roadmap.
  • Physics-based models must be configured per equipment class, so each new asset type is an engineering engagement rather than a configuration screen, and rollout speed is limited by Novitys own capacity.
  • Prognostics depend on the quality and sampling rate of your historian data; plants recording ten-minute averages will not get useful remaining-useful-life estimates without new instrumentation.
  • Nothing about pricing is published and there is no self-service entry point, so evaluation always starts with a sales-led pilot on a handful of assets.
  • The deployment footprint is concentrated in oil and gas, LNG and water, so reference customers and pre-built asset models outside those industries are limited.

Pricing, plan by plan

C3 AI Suite

On request
  • C3 AI Suite$undefined/year
    • Platform subscription sized by application and data volume
    • Paid pilot engagement typically precedes a subscription
    • Professional services quoted separately

Novity

On request
  • TruPrognostics$undefined/year
    • Quoted per asset class and monitored equipment count
    • Model configuration and commissioning quoted as a project
    • Typically an annual subscription tied to a pilot then a rollout

Which should you pick?

Choose C3 AI Suite if

  • You need type system.
  • You work on Web, Linux.
  • You also want pre-built applications.
C3 AI Suite review

Choose Novity if

  • You need truprognostics engine.
  • You work on Web, Cloud.
  • You also want cold-start modelling.
Novity review

Questions people ask

Is C3 AI Suite or Novity better?
Neither clearly leads. C3 AI Suite starts at On request and Novity at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, C3 AI Suite or Novity?
C3 AI Suite starts at On request and Novity at On request.
Does C3 AI Suite or Novity run on more platforms?
C3 AI Suite runs on Web, Linux. Novity runs on Web, Cloud.
What is C3 AI Suite best used for?
C3 AI Suite is most often used for a utility with decades of scada history wanting failure prediction on transformers without hiring a data science team, a defence agency needing an ai platform accredited for classified environments rather than a commercial saas, an oil and gas operator consolidating condition data from osisoft pi, sap and bespoke historians into one model, a bank building transaction monitoring where the vendor supplies both the models and the analysts who tune them. Of those, a utility with decades of scada history wanting failure prediction on transformers without hiring a data science team and a defence agency needing an ai platform accredited for classified environments rather than a commercial saas are not what Novity is typically brought in for.
What can C3 AI Suite do that Novity cannot?
C3 AI Suite covers Type system, Pre-built applications, Model lifecycle, C3 Generative AI. Novity covers TruPrognostics engine, Cold-start modelling, Fault mode diagnosis, Remaining useful life.

Answered from the vendors’ own pages

C3 AI Suite: Does C3 publish pricing?

No. Everything is quoted, and the shape of the deal, pilot then subscription, means the first number you see is for a proof of value rather than the platform.

Novity: What does Novity actually output?

A named failure mode and an estimated remaining useful life with a confidence band, not just an anomaly alert.

C3 AI Suite: Can it run in a classified environment?

Yes. C3 supports air-gapped and government cloud deployments, including FedRAMP-authorised environments, which is a large part of why defence buyers choose it.

Novity: Do we need failure history to train it?

No. The physics component is what lets it produce useful prognostics on equipment with little or no run-to-failure data.

C3 AI Suite: Do we own the models we build?

You own the models and the data. The application logic is written in C3 types, so the artefacts are portable in principle and impractical to move in practice.

Novity: Do we need new sensors?

Often not. It reads from your existing historian, but low sampling rates or missing measurements can require additional instrumentation.

Novity: Who backs the company?

It was spun out of Xerox PARC and took a strategic investment from Acario Innovation, the venture arm of Tokyo Gas, in 2026.

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