Virtualitics

NLQ lets anyone extract insights from data with logical requests instead of coding.

Virtualitics’ NLQ tool runs extended queries on one input—taking a question like “Why are sales up?” and running many routines to find the answer and illustrate it with the right visual.

Instantly find and understand the driving features in your data.

This machine learning routine instantly pulls out the features from your data that are driving results. Ranked according to impact, you’ll know which features matter most and where to focus your attention.

Intelligent Exploration instantly detects insights in the analysis.

Virtualitics’ Insights detects important combinations of characteristics revealing critical trends, highlights them in the visualization, and allows further exploration so you don’t miss anything.

Our patented AI-powered Network Extractor quickly finds hidden communities in categorical and numerical data.

Only Virtualitics automatically discovers behavior and segmentation in complex datasets, making network graphs for deep, mixed-data exploration possible.

Proprietary network visualization capabilities create clear, 3D network graphs.

Virtualitics has perfected graph visualization by producing 3D networks, properly spatialized, that enable you to explore from every angle. And we do it 100X faster than other graphing software.

Virtualitics Insights identifies and displays the significance of communities we discover in your network.

See which characteristics define communities and drive member behavior. Know the magnitude and strength of community connections and find the most impactful path forward.

Our exploratory capabilities are created for complex data sets.

Display up to 12 dimensions at a time in our powerful 3D visuals. AI and ML analysis processes dozens of columns of data at a time, finding the highest-impact features for you to explore in tangible 3D visuals.

There’s more than one way to look at your data.

Virtualitics recommends additional visualizations that highlight insights learned from Intelligent Exploration. Easily consider options, see findings from different angles, and pick the best visuals to share with stakeholders.

Intelligent Anomaly Detection finds statistical outliers and extremes in your data.

Identify, label, and easily share rare events with stakeholders. Anomaly Detection keeps teams focused on impactful trends because they see and avoid distractions, even in large datasets.

AI fails at deployment when it’s not addressing the right issues.

Deploy relevant AI that solves the right challenge. With exploration that took the complexity of your business into account and surfaced the drivers that mattered, you know that your model will be on target.

The Virtualitics AI Platform enables robust iteration so you can deploy high-impact AI.

Embedded AI routines uncover where your model underperforms so you can iterate, test, and deploy robust, high-performing models that successfully address the problem they’re designed for.

Put models into the hands of users with single-step application development and deployment.

Confidently deploy models grounded in viable features with stakeholder support. Make high-performing models accessible to teams who will use recommendations to drive positive action.

Give users clear recommendations so they know what to do next and why.

Along with the AI-generated action, embed the next step directly into the app to streamline operations. Then capture the action taken so that you can continue to measure and refine your AI model.

Keep people in the loop to apply models appropriately.

Leverage interactive Scenario Modeling to test recommendations with different inputs. From generating a new prediction with different data to validating next moves, scenario modeling builds trust and informs decisions.

You don’t have to be a data expert to understand and use AI.

Deliver easy-to-understand breakdowns as dashboards or storytelling flows of your AI model. Show which factors you considered and how the AI applied them to generate the predictions to inspire trust and action.

Get notified when your model operates outside the intended boundaries.

Outside factors and operational changes will impact your model, and there will be scenarios the model wasn’t intended for. Ongoing monitoring and notifications help you monitor and maintain operations.

Continually assess risk and impact so your AI delivers results. AI model development is never one-and-done.

Track your models with monitoring dashboards, and use our patented AI-driven exploration tools against model residuals to identify possible improvements to your model.

Make sure that your model works without racialized or otherwise biased data.

Find bias in your model with intelligent exploration that detects and describes the groups being impacted, and surfaces the dimensions that are driving that impact, so you can identify alternatives.