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Novity

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

As of 1 September 2026, Novity's pricing is not published; the vendor quotes on request. A PARC spin-out that predicts time to failure rather than flagging anomalies, which is the difference between an alert you have to interpret and a number you can schedule a shutdown around. Softwr lists it under Energy. Novity is made by Novity, Inc., available on Web, Cloud.

Overview

What Novity does

Novity was spun out of Xerox PARC and sells TruPrognostics, a prognostics engine for process industry equipment. Rather than training purely on historical failure data, which most plants do not have in useful quantity, it combines physics-based degradation models with machine learning and plant context to diagnose a specific fault mode and forecast remaining useful life. The output is a failure mode, a confidence and a time horizon, which is what a planner needs to move a shutdown rather than raise a work order. The fact that matters for a shortlist is the hybrid modelling approach and its consequence: because the physics carries part of the load, Novity can produce useful prognostics on equipment with little or no run-to-failure history, which is the exact condition that stalls conventional machine-learning predictive maintenance projects. The company reports diagnostic true positive rates above 90 percent and deployments in upstream and midstream oil and gas, LNG terminals and wastewater, and in May 2026 took a strategic investment from Acario Innovation, the corporate venture arm of Tokyo Gas, which points the roadmap towards gas turbines and power generation for data centres. Who buys it: process operators with rotating and reciprocating equipment where an unplanned trip is expensive and where existing vibration monitoring produces alarms nobody trusts. The trade-off is vendor size. Novity is a small venture-backed company, pricing is unpublished, every deployment involves model configuration per equipment class, and you are betting on a company whose exit is more likely than its independence.

What people use it for

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

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about 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.

Cross-shopped

What people choose instead of Novity

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Novity logo
    Novity
    vs
    Augury logo
    Augury

    Augury: Pick Augury if you would rather buy sensors and analysts as one per-machine service than configure models.

  • Novity logo
    Novity
    vs
    AVEVA PI System logo
    AVEVA PI System

    AVEVA PI System: Pick PI System if you first need the data collected and historised before prognostics is a realistic goal.

  • Novity logo
    Novity
    vs
    Cognite Data Fusion logo
    Cognite Data Fusion

    Cognite Data Fusion: Pick Cognite if the wider problem is contextualising plant data rather than predicting one class of failure.

Pricing

What Novity costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

TruPrognostics

On request

  • 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
  • No published list price

Capabilities

Features

  • TruPrognostics engine

    Hybrid physics and machine-learning models producing failure mode and remaining useful life

  • Cold-start modelling

    Produces prognostics on equipment without run-to-failure training data

  • Fault mode diagnosis

    Names the specific degradation mechanism rather than reporting an anomaly score

  • Remaining useful life

    Time-to-failure estimates with confidence bands usable for shutdown planning

  • Existing sensor reuse

    Works from process historian data and installed instrumentation where possible

  • Recommended actions

    Maintenance actions tied to the diagnosed fault mode

  • Historian connectors

    Ingests from process historians and control system data stores

  • Asset class libraries

    Pre-built models for pumps, compressors, turbines and rotating equipment

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

What does Novity actually output?

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

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.

Do we need new sensors?

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

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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Softwr does not host reviews and shows no star rating for Novity, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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