Acerta Solutions

AI-Powered Analytics of Automotive Systems, Trusted by OEMs and Tier-1 Manufacturers

Overview

From the drawing board, to the manufacturing plant, to in-field operation, Acerta’s infrastructure is used to extract deep insight from collected machine data. Acerta’s proprietary deep neural networks run on a powerful cloud infrastructure, providing clients with a scalable, fully-managed, highly reliable, and cost-efficient data pipeline.


FIND THE SOLUTION FOR

Pre-Production Design Testing

Acerta’s advanced proprietary technology analyzes the condition of pre-production vehicles in real-time and assists with root cause analysis using all data collected by the vehicle. Deep neural networks are used to detect anomalies and point to the data most associated with the anomaly, instantly providing critical insight that speeds up root-cause analysis. By harnessing the full potential of your collected data with real and actionable insight, you save precious time now and millions of dollars down the road.

Case Studies

Manufacturing Quality Analytics

Acerta’s neural networks analyze in-line and end-of-line data in real time to augment existing processes by detecting more faults and predicting failures, sooner. They synthesize data from each step of manufacturing and assembly lines, and identify variances in data behavior to provide alerts on potential future failures. For manufacturers that collect large amounts of data, Acerta’s solution provides previously unattainable insight and significant improvement in KPIs such as first time pass, scrap rate, down time, and more.

Case Studies

In-Field Monitoring & Prognostics

Acerta’s deep neural networks identify potential asset failures before they happen, providing asset managers with remaining useful life analytics that enables predictive maintenance. It combines real-time data collected from various sources to paint a picture of the system’s behavior and automatically produces a score to describe its condition. If an unusual deterioration is detected, engineers are provided with a real-time feed of any signals descriptive of the anomaly. This allows them to almost immediately identify the source of any issue, thus cutting down costs of maintenance, warranty, and repairs, and to improve their client’s satisfaction and experience.

Case Studies
Pre-Production Design Testing

Pre-Production Design Testing

Acerta’s advanced proprietary technology analyzes the condition of pre-production vehicles in real-time and assists with root cause analysis using all data collected by the vehicle. Deep neural networks are used to detect anomalies and point to the data most associated with the anomaly, instantly providing critical insight that speeds up root-cause analysis. By harnessing the full potential of your collected data with real and actionable insight, you save precious time now and millions of dollars down the road.

Case Studies
Manufacturing Quality Analytics

Manufacturing Quality Analytics

Acerta’s neural networks analyze in-line and end-of-line data in real time to augment existing processes by detecting more faults and predicting failures, sooner. They synthesize data from each step of manufacturing and assembly lines, and identify variances in data behavior to provide alerts on potential future failures. For manufacturers that collect large amounts of data, Acerta’s solution provides previously unattainable insight and significant improvement in KPIs such as first time pass, scrap rate, down time, and more.

Case Studies
In-Field Monitoring & Prognostics

In-Field Monitoring & Prognostics

Acerta’s deep neural networks identify potential asset failures before they happen, providing asset managers with remaining useful life analytics that enables predictive maintenance. It combines real-time data collected from various sources to paint a picture of the system’s behavior and automatically produces a score to describe its condition. If an unusual deterioration is detected, engineers are provided with a real-time feed of any signals descriptive of the anomaly. This allows them to almost immediately identify the source of any issue, thus cutting down costs of maintenance, warranty, and repairs, and to improve their client’s satisfaction and experience.

Case Studies

How Does it Work?

Acquire

Acquire
  • Acerta uses data from any pre-existing data collection system
  • Data is transferred using Acerta’s secure custom API and stored on the cloud
  • All data handling is done using the strictest security standards available

Analyze

Analyze
  • The data is automatically structured and prepared for machine analysis
  • Acerta’s deep neural networks learn the complex relationships between data streams
  • Any anomaly in new data is automatically identified and classified in real-time

Alert

Alert
  • The system notifies engineers whenever an anomaly is detected
  • The signals indicative of the detected anomaly are reported to allow for accelerated root cause analysis
  • The results of the analysis feed back into the system for continuous improvement
Get Started

How Does it Work?

Acquire

Acquire
  • Acerta uses data from any pre-existing data collection system
  • Data is transferred using Acerta’s secure custom API and stored on the cloud
  • All data handling is done using the strictest security standards available

Analyze

Analyze
  • The data is automatically structured and prepared for machine analysis
  • Acerta’s deep neural networks learn the complex relationships between data streams
  • Any anomaly in new data is automatically identified and classified in real-time

Alert

Alert
  • The system notifies engineers whenever an anomaly is detected
  • The signals indicative of the detected anomaly are reported to allow for accelerated root cause analysis
  • The results of the analysis feed back into the system for continuous improvement
Get Started

What Are the Results

CASE STUDY

Gear Tooth Fracture

Acerta’s platform predicted gearbox failure during warranty period, by automatically identifying gear tooth fractures which weren’t detected during end of line testing.

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CASE STUDY

Engine Misfires

Acerta’s platform accurately identified the specific conditions which led to previously undetected engine misfires and alerted the client of each occurrence.

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CASE STUDY

Air Leak

Acerta’s platform automatically identified an air leak in the exhaust system of a vehicle during a road test. The provided insight reduced the root cause analysis from 2 weeks to 60 minutes.

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CASE STUDY

Bearing Failure

Acerta’s platform provided Remaining Useful Life prediction for bearings, which allowed for robust and reliable predictive maintenance.

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See All
Real Time

Real Time

Real-time data collection and AI diagnostics instantly alert you to anomalies and potential malfunctions.

Scalable

Scalable

Our algorithms are built to easily adapt, scale, and improve over time.

Dynamic

Dynamic

Fine-tuned algorithms automatically learn and adjust to reconfigured products and manufacturing processes.

Seamless Integration

Seamless Integration

No new hardware required. Our dedicated APIs let the platform seamlessly augment and integrate into your existing QA structure.

Real Time

Real Time

Real-time data collection and AI diagnostics instantly alert you to anomalies and potential malfunctions.

Scalable

Scalable

Our algorithms are built to easily adapt, scale, and improve over time.

Dynamic

Dynamic

Fine-tuned algorithms automatically learn and adjust to reconfigured products and manufacturing processes.

Seamless Integration

Seamless Integration

No new hardware required. Our dedicated APIs let the platform seamlessly augment and integrate into your existing QA structure.

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