Annual Built In Award Recognizes Virtualitics as One of the 50 Best Startups to Work for in Los Angeles

PASADENA, Calif, February 6, 2024 — Virtualitics, a leading provider of Explainable AI-driven data analytics and applications, today announced that it has received a Built In Best Places To Work Award for the third year in a row. The 2024 Built In award recognizes Virtualitics as one of the best startups to work for in Los Angeles. Each year, Built In honors companies of all sizes, awarding both remote-first employers and companies in large tech markets across the country.

“We’re excited to earn our place on the Built In lists for the third consecutive year,” said Michael Amori, CEO and co-founder of Virtualitics. “It’s an honor for Built In to recognize our commitment and pioneering work in revolutionizing AI-optimized decision-making with Explainable AI. Virtualitics’ role in driving transformative business outcomes extends beyond our organization to our customers around the globe. This recognition is a testament to our collective effort and the impactful changes we’re making in the world of AI.”

Best Places to Work is a U.S. awards program that recognizes companies based on criteria including benefits, compensation, diversity/equity/inclusion (DEI) programs, flexible work opportunities, and other people-first offerings. Built In is visited by millions of technology professionals globally every month to learn about the industry, build connections, and find jobs at companies they believe in.

“I’d like to extend our heartfelt congratulations to the 2024 Best Places to Work winners,” said Maria Christopoulos Katris, Built In Founder and CEO. “I am truly inspired by these companies that have risen to the challenge of fostering a positive work environment, maintaining a strong brand, and ensuring employee satisfaction. The future is filled with promise, and we are so excited to see what lies ahead.”

The Virtualitics AI Platform harnesses the power of Explainable AI (XAI) to empower from business leaders, data scientists to data analysts with advanced analytics and applications for optimized decision making. Through an intuitive user interface (UI), end users can safely and effortlessly engage with complex datasets in a single environment. The platform’s AI autonomously generates multidimensional visualizations, uncovers vital insights, and, crucially, interprets these insights in an understandable manner. This ensures that every discovery is not only shared but also thoroughly understood, enabling the launch of transformative applications that drive critical business decisions across organizations. This approach demystifies data, unifying it in a single platform and turning the AI from a black box into a clear, explainable AI companion in data exploration and decision making.

Are you passionate about advancing AI technology and empowering informed, data-driven choices? Please check out the list of open positions at Virtualitics.

This award follows Virtualitics’ August 2023 announcement of a $37 million Series C investment by Smith Point Capital and inclusion on the Inc. 5000 List of Fastest-Growing Private Companies in America.

About Built In’s Best Places to Work

Built In’s annual Best Places to Work program honors companies with the best total rewards packages across the U.S. and in the following tech hubs: Atlanta, Austin, Boston, Chicago, Colorado, Dallas, Houston, Los Angeles, Miami, New York, San Diego, San Francisco, Seattle and Washington DC. Best Places to Work is distinct because its algorithm selects tech companies that build their offerings specifically around what tech professionals value in a workplace.

About Virtualitics

Virtualitics, a leader in delivering Explainable AI decisions for enterprises and government applications. We enable organizations to make AI-optimized decisions through our advanced applications and unparalleled 3D data visualizations. Built on a decade of Caltech research and proven in government and enterprise spheres, we make artificial intelligence safely accessible, visible, understandable, and actionable across applications for analysts, data scientists and business leaders alike, driving transformative business outcomes. For more, visit

Industry Veterans Join High-Growth AI Leader to Accelerate Go-to-Market Scaling and Expand Strategic Focus on National Security and Governmental Solutions.

Pasadena, CA – Nov. XX, 2023 – Virtualitics, Inc., an AI data analytics company, today announced the appointment of Rob Ferguson as Chief Revenue Officer and Rob Bocek as President, Public Sector.

Ferguson has served in key leadership roles at prominent enterprise software companies including Salesforce, where he spent more than a decade, Oracle, and PTC. Ferguson joins Virtualitics to apply his expertise in leading go-to-market teams responsible for helping many of the world’s largest, most influential companies realize success through the adoption of advanced technologies.

“We are pleased to hire someone with the outstanding strategy and execution experience that Rob Ferguson brings to the table,” said Michael Amori, CEO and co-founder of Virtualitics. “Rob will help Virtualitics accelerate our commercial business and build on the strong foundation of success we have already established in the federal government sector.”

“It’s an incredible time to join Virtualitics,” said Ferguson. “The Virtualitics platform is proven in the most demanding, mission-critical environments. I welcome the opportunity to work closely with customers to help them leverage our ongoing innovation in AI data analytics to achieve quantifiable, high-impact results.”

Bocek has more than 15 years of experience leading teams in emergent defense, intelligence technologies, and enterprise software, bringing a wealth of expertise to Virtualitics. In his new role, Rob will spearhead the company’s initiatives within the U.S. defense and public sector domains, driving strategic business growth and expanding Virtualitics’ footprint in crucial government sectors.

“I’m excited to welcome Rob Bocek as our new president of public sector,” said Amori. “Rob has a deep understanding of our federal clients and has demonstrated excellence in all aspects of his career, beginning with his military service as a Navy SEAL officer to his tenure at Microsoft Federal, and later on, working at multiple defense-focused startups. Like everyone at Virtualitics, Rob is passionate about our mission. His expertise will be pivotal in strengthening our partnerships with government agencies and in furthering our commitment to providing AI-driven solutions for national security and public sector challenges.”

“I’m thrilled to join the tremendous team at Virtualitics, especially at such a crucial time where mission-AI technologies are revolutionizing how leaders are making better decisions with more accurate data,” said Bocek. “Virtualitics’ AI-driven data exploration, visualization and applications will transform the way national defenders, public safety personnel, and first responders assess threats, mitigate risk, and keep us safe.”

About Virtualitics

Virtualitics, Inc., an AI data analytics company, is pioneering the power of AI- and machine learning-guided data exploration to transform organizations. The Virtualitics AI Platform is an advanced analytics solution empowering everyone with faster, ready-to-use AI that is easily understood by analysts and business leaders. The company’s patented technology is based on more than 10 years of research at the California Institute of Technology and has been tested, proven, and leveraged by the federal government and large enterprises.

The rise of generative AI has opened up new ways for enhanced human-machine collaboration and groundbreaking discoveries. With its power to create new content starting from a prompt, such as images, texts, audio, video, or even other types of data, generative AI has the potential to revolutionize data analysis in many diverse fields.

However, despite being lauded as one of the most beneficial technological advancements in history, AI still hasn’t been widely adopted by organizations. There are three main reasons for this:

Resources: One of the primary barriers to AI adoption is the scarcity of expert users. Data scientists have become increasingly in demand as organizations seek to pull meaningful and actionable insights from the millions of bytes of data they produce each day. However, the data science talent pool is small and even when they do get hired, they’re simply juggling too many competing projects to focus on AI adoption.

Trust: While some still fear the doomsday potential of AI, what’s actually hurting trust in AI is confidence in the results it generates. Adding to that distrust is a lack of knowledge, even at a high level, of the proposed solutions and their implications. Hallucinations, for example, occur when generative AI bots return made-up information, but this issue usually stems from an incomplete query or inaccurate dataset. Without the right data science talent to train the model and help encourage AI adoption, it’s challenging to build up trust in the technology.

Usability: Many existing AI tools are challenging to use, typically requiring specialized knowledge and expertise in data science. Increased adoption requires user-friendly tools that analysts and other non-data science experts can leverage to gain a genuine understanding of complex, multidimensional, and heterogeneous data.

Democratizing AI with Intelligent Data Exploration

It’s clear that the barriers to widespread AI adoption ultimately stem from the scarcity of data science experts. Waiting to hire for these skills risks companies being left behind in the race to analyze enterprise data for business-changing insights. Fortunately, addressing these problems can be achieved through Intelligent Exploration, Explainable AI (XAI), and Large Language Models (LLMs). 

An intelligent data exploration platform, such as the one patented by Virtualitics, leverages XAI, Generative AI, and rich visualizations to guide users through the analysis of complex datasets. Low-code or no-code environments that allow users to log in and immediately begin exploring their data for insights are crucial to the adoption of AI inside the organization. Generative AI technology can be used to:

  • Use embedded AI routines to generate multidimensional visualizations based on available data and contextual information.
  • Deliver key insights in natural language augmented with compelling, AI-generated visualizations.
  • Use LLMs to suggest the next steps in the analysis based on user prompts. These prompts can be specific (“I want to understand what drives sales in summer”) or more open-ended (“Tell me something interesting about my data”).

Intelligent exploration leads teams to findings that can be clearly understood, prioritized, and acted upon.

Enabling a Conversational Approach to Data Analysis

Two of the keys to democratizing complex data analysis with Intelligent Exploration are the use of XAI and LLMs.

To be effective, XAI has to strike the right balance between model interpretability and accuracy. It is essential that we do not compromise accuracy while focusing on context-aware explanations, which entails designing explanations that consider the specific context of the analysis conducted.

Additionally, XAI systems must generate explanations suitable for different audiences that don’t require a data expert to interpret them. A few years ago, advancements in Natural Language Processing (NLP) introduced the capability to ask queries using natural language, but these systems faced limitations due to their restricted vocabulary and ad hoc syntax.

LLMs overcome these limitations by presenting results in the form of a narrative, featuring simple language and relevant charts that are generated automatically.

The AI-Friendly Future

Intelligent data exploration not only enables organizations to take advantage of their data without waiting to hire more data scientists, it also plays a critical role in augmenting trust in AI solutions, fostering a more widespread, fair, and ethical use of AI. This increased trust will contribute to more responsible deployment and wider acceptance of AI solutions across various domains, positively impacting society as a whole.

By enhancing resource allocation, providing transparent and interpretable AI solutions, and developing user-friendly tools, intelligent exploration platforms like Virtualitics pave the way for wider AI adoption and for all organizations to reap the benefits of these transformative technologies. By leveraging XAI, Generative AI, and rich visualizations to guide users through the analysis of complex datasets, Virtualitics is creating a future where teams are prepared to make AI-guided data analysis not only attainable but a powerful ally.

About the author

Ciro Donalek is a leading expert in Artificial Intelligence and data visualization. As a Computational Staff Scientist at Caltech he successfully applied Machine Learning techniques to many different scientific fields, co-authoring over a hundred publications featured in major journals (e.g., Nature, Neural Networks, IEEE Big Data, Bioinformatics). He holds several patents in the fields of AI and 3D Data Visualization, co-authoring the ones that define the Virtualitics AI platform.

Dr. Donalek is passionate about teaching and public outreach and has given many invited talks around the world on Machine Learning, Immersive technologies and Ethical, Interpretable and Explainable AI. He holds a Ph.D. in Computational Sciences / Artificial Intelligence (University Federico II of Naples, Italy) and an MS in Computer Science (University of Salerno, Italy). He is married with two children.

Virtualitics Adds Former Intelligence Leader, Reinforcing Commitment to Serving the US Department of Defense and Intelligence Community.

Pasadena, CA – November, 2023 – Virtualitics, Inc., an Artificial Intelligence and Data Exploration company, today announced the appointment of Cynthia “Didi” Rapp, a renowned former national intelligence executive, to the company’s Board of Advisors. 

Virtualitics harnesses an AI platform to transform data science into actionable intelligence, enhancing operational readiness, optimizing investments, and bolstering mission support for the federal government. This strategic appointment reinforces Virtualitics’ dedication to supporting the vital work of the US Department of Defense and the Intelligence Community.
Rapp brings to Virtualitics a wealth of knowledge and experience with decades of dedicated public service, predominantly with the Central Intelligence Agency (CIA). Beginning her career as a geographic analyst, Rapp’s expansive expertise spans intelligence issues from the Cold War and counterterrorism to the intricacies of the multipolar world and renewed Russian aggression.

A distinguished leader with deep management acumen, Rapp has held various pivotal roles in her career. Notably, she managed the content and senior-level review of the President’s Daily Brief (PDB), the Intelligence Community’s premier analytic product. She oversaw the CIA’s Middle East analytic program, progressing through numerous executive positions, including the Deputy Chief Operating Officer responsible for the agency’s day-to-day operations. In her final analytic tenure, she served as the Director for Analysis, responsible for the quality of all-source analysis and leading the entire analytic cadre. Rapp concluded her CIA tenure serving as the Chief of Staff for the agency’s first female director.
“Virtualitics is immensely honored to have Ms. Rapp join our advisory board,” said Michael Amori, Virtualitics CEO and co-founder. “Her unparalleled perspective and vast experience in intelligence analysis align with our mission to deliver cutting-edge AI solutions. As we continue to expand our work with the Department of Defense and the Intelligence Community, Ms. Rapp’s guidance will be invaluable.”
Rapp has received numerous accolades throughout her long career, including two Presidential Rank awards and the Director’s Award for Distinguished Service. Additionally, she has been honored with the Distinguished Career Intelligence and National Intelligence Exceptional Achievement medals.
“I am honored to join the Virtualitics board of advisors at this exciting time in the company’s next phase of growth,” said Cynthia Rapp. “Having witnessed firsthand the transformative power of artificial intelligence and data exploration, I’m deeply inspired by Virtualitics’ commitment to illuminating complex datasets for the defense and intelligence sectors. With my decades of service and their innovative and explainable approach to AI, we’re poised to shape AI-driven analytics, ensuring actionable insights to safeguard our nation.”

Virtualitics combines AI and data exploration to enhance US defense and intelligence operations. Since 2017, Virtualitics has collaborated with key defense institutions on projects from operational readiness to intelligence analysis. The company’s dedication to AI-driven analytics has not only garnered the trust of government agencies but has also inspired two esteemed former military leaders to join their federal advisory board. 
Virtualitics recently raised a $37 million Series C investment from Smith Point Capital and was named to the Inc. 5000 List of Fastest-Growing Private Companies in America list.

Furnishing a home can be a daunting task, especially if you’re living in a place with a few funny angles and oddly shaped nooks. IKEA, the furniture retailer known for their DIY kits, can provide you with some great easy-to-assemble pieces to fill your space, but for unique layouts, prefab furniture isn’t always going to be a perfect fit. These are the times when bringing in a custom or niche-focused solution delivers the perfect fit. When you finally have all your furniture, the result will be a blend of unique and off-the-shelf pieces that all work beautifully together. Similarly, every organization functions better when they have the right mix of IKEA-like DIY data analytics tools, such as self-service BI software, and custom solutions like AI-guided analytics that are capable of exploring complex data and discovering insight hiding in unusual places.

Data exploration requires more than one tool

The applications used every day to run businesses create and capture thousands of data points every second. As a result, there is a deep treasure trove of information buried in these systems…but not a lot of resources or skills to analyze it all.

Fortunately, there has been a ton of innovation in the BI technology space, making it easier for data consumers to now create their own reports and dashboards. This means they can get answers to some of their recurring questions without waiting for an inundated data scientist or analyst to find space in their project queue. In other words, they’ve now got their very own IKEA of business analytics at their fingertips.

What’s also great about self-serve analytics is that it allows consumers to create their own reports within the boundaries set by experts. When data analysts are freed from creating and maintaining BI dashboards and spreadsheets for data consumers, they’re able to use their time and skills towards putting the correct guardrails in the self-serve software. This will minimize problems that come from using the wrong data, but it does limit the scope of inquiry…and that means some insights go unseen.

This leads us to the custom solution that complements self-serve data work: AI-guided analytics. Platforms like Virtualitics give analysts the ability to dive deeper into data and find insights that will set your business apart. Deep exploration of complex data does require advanced analytic skills, but by leveraging AI-powered Intelligent Exploration solutions, data analysts can become stronger strategic advisors.

3 benefits of AI-guided data exploration

Some influencers believe the data analyst role will be made extinct by self-service analytics…but it’s not. A house decked out entirely in IKEA furniture may function, but it will still have those odd nooks and crannies that require a different solution to reach the home’s full potential.

This is why organizations that reduce their analyst teams in the sole pursuit of analytic solutions that are using AI to facilitate self-service reports and dashboards risk going backward. Not just because the consequences get real when consumers use the wrong data for business decisions, but also because you’ll miss strategic opportunities if your analysts aren’t empowered to go searching for big business-changing insight.

Opportunities like improved reporting, strategic decisions, and accurate root cause analyses.

1. Improved reports

Sorting through all the data to find important signals requires skills and tools that are beyond the reach of the typical data analyst. This leads to reports that are lacking in valuable information, and without the right solution, an analyst doesn’t know to look for the missing insight. With Intelligent Exploration platforms, AI does a lot of the heavy lifting of sorting through wide and complex datasets. Virtualitics uses machine learning to instantly pull out the features from your data that are driving results and impacting success.

This can be a game-changing capability for organizations that rely on equipment to stay operational. Reports that help identify weakening machinery before it breaks or fails, while also keeping users aware of resource constraints and inventory, are key to minimizing downtime.

2. Strategic decisions

Multidimensional data often goes untapped because analysts can’t explore it and data science teams don’t have the bandwidth to use code to find the information and attempt to apply a visualization that would adequately communicate it. Virtualitics makes it easy to visualize and compare all this complex data and also automatically generates insights from it for analysts.

Imagine a luggage retailer wants to improve its target marketing in the APAC region. It can be difficult to know where to begin to make sense of the data they have, but Virtualitics can guide a data analyst to an insight that shows a relationship between the time of day and the size of orders in this region. This leads to strategic timing to send out email offers and potentially triggers bigger orders as a result.

3. Accurate root cause analyses

Knowing where to prioritize resources can be incredibly difficult, especially when your retail operations, for example, are spread out across many different locations. Virtualitics’s exploratory environment enables analysts to do deep analysis on complex, interrelated data sets like this and use natural language to ask questions that will guide them closer to the answer. 

For example, instead of constructing a series of customer segmentation analyses trying to get to the key factors that drive sales (Is it staffing? How about inventory volume? Does store square footage make a difference?) analysts can simply ask “What’s driving sales?” Virtualitics will evaluate the entire width of the dataset and rank each feature’s importance in driving sales and generate a visualization that illustrates the top three. This enables analysts to not only see which features are truly behind sales but also which ones work in concert.  

Blended data analysis is better

Differentiation is key in home design and in business. Sometimes it means doing something drastically different and sometimes it means a more nuanced take on an old problem. An analyst empowered with both self-service analytics and an Intelligent Exploration platform will gain the bandwidth and capabilities to deck your organization out with insights that will propel your business forward.