Close Cookie Preference Manager
Cookie Settings
By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage and assist in our marketing efforts. More info
Close Cookie Popup
Cookie Settings
By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage and assist in our marketing efforts. More info
Accept All Cookies
Cookie Settings
Cookies Preferences

Solutions

Uncovering Industry Intelligence Where It’s Needed Most

Athinia® provides a set of tools for data analysis in a variety of applications.
Quality
Improve quality by focusing on the parameters that matter most.
Learn More
Sustainability
Empowering companies to track and manage their environmental impact.
Learn More
Supply Chain
Ensure supply chain transparency and availability across all industry players.
Learn More

The Challenge

We’re experiencing a time of rapid growth and ever tighter quality requirements

Leading-edge semiconductor manufacturing processes are so sensitive that traditional quality control and supply management practices are no longer sufficient to maintain high-yielding integration flows. The rapidly increasing number of process variables requires smart and scalable data and analytical capabilities. To remain competitive, companies need to focus time and resources on the parameters that matter most.

The Benefit

Benefits of secure, collaborative data sharing

  • Allow for integrated analysis and control of data by device makers and material suppliers
  • Provide holistic view and predictions of in-fab performance
  • Break silos and increase efficiency to solve the most pressing semiconductor manufacturing challenges
This is some text inside of a div block.

Quality

Solving simple industry problems requires assessing interactions between parameters, requiring more advanced analytical tools.

In traditional statistical analysis, some correlations and interactions among parameters are missed. Via multivariate analysis with Athinia, relevant parameters are identified so that device makers can focus their resources where it matters most.
Athinia’s process & quality analytics tools enable device makers, materials suppliers and equipment makers to:
  • Get greater insight into quality variance earlier in the value chain
  • Minimize deviations and optimizes costs
  • Reduce time to bring new offerings to market

Athinia bridges the gaps between process engineering and data science. The ecosystem provides a wide array of composable templates for self-service, no-code data analytics.

Feature reduction:
  • PCA
  • PLS
  • Linear Correlation
  • TSNE
  • Lasso Regression
Descriptive/Predictive models:
  • OLS Linear Regression
  • Logistic Regression
  • XGBoost Regressor
  • Random Forest
Visualizations:
  • Box Plots
  • Scatter Plots
  • Feature Importance
  • Trend Charts
  • Correlation Matrix

Athinia’s recommendation engine suggests model and surfaces data issues.

  • Customer datasets are tested against hundreds of assumptions, curated and maintained by our data science team
  • Tool clearly identifies limitations in the source data and suggests improvements
  • Suitable algorithms are highlighted and can be deployed with a few clicks
  • Assumptions are tested continuously as the underlying data updates
    CASE STUDY     
This is some text inside of a div block.

Sustainability

Athinia unlocks a new standard for sustainability
management in the semiconductor industry.

There is a strong need for a semiconductor industry-specific common digital
collaboration platform for sustainability data calculation and sharing.
Athinia’s Sustainability module follows standards adopted by SCC members, including the GHG Protocol.

We can rapidly calculate an accurate carbon
footprint with actual manufacturing data​

The Sustainability Data Exchange Module follows the conventions of the Greenhouse Gas (GHG) Protocol for naming, classifying, calculating, and reporting greenhouse gas emissions.

The Athinia Sustainability Module enables device makers and material suppliers to simplify many steps in their sustainability reporting.

Single Product View

Provides details about a selected product & its emissions

Product View

Provides details about a company’s own products – as well as upstream & downstream products

Company View

Provides details about a company’s emissions and supply chain

Request View

Provides details on incoming & outgoing requests for emissions data

See how the module enables device makers to see their carbon footprint by product – including detailed emissions and breakdown across scope 1, 2 and 3 emission types – and even to request factor emission data directly from their suppliers.

See how the modules enables device makers to compute approximations for lifecycle analysis of their products, securely calculate emissions footprint and prepare to share data with their network.

Key Benefits

In minutes, rapidly and efficiently identify the highest carbon footprint contributors in the process.​
Acceleration vs. a typical life cycle analysis, which for just one process costs $10k’s and may take months.
Generate environmental and cost savings by identifying greener alternatives.​
For example, substituting greener chemistries and solvents can also result in higher throughput and lower cost of ownership.
Develop a portfolio of green products with higher value by​ co-optimizing processes driving change across the value chain.​
Small changes in one part of the value chain can affect downstream processes, dramatically influencing the overall footprint.

Athinia’s recommendation engine suggests model and surfaces data issues.

  • Customer datasets are tested against hundreds of assumptions, curated and maintained by our data science team
  • Tool clearly identifies limitations in the source data and suggests improvements
  • Suitable algorithms are highlighted and can be deployed with a few clicks
  • Assumptions are tested continuously as the underlying data updates
This is some text inside of a div block.

Supply Chain

Detect impacts of supply chain disruptions with lead time
KPIs and end-to-end inventory health.

The Athinia Supply Chain module enables fabs and suppliers to monitor inventory health across their ecosystem.

See how the module enables fabs and suppliers to check status, history & forecast of shipments, view overall performance of suppliers and identify best fit matches for inventory reallocation.