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The exemplary advancements in generative AI platforms have prompted businesses to leverage them for greater efficiency and operational streamlining. Consequently, data security and output accuracy have become major priorities, especially for organizations sensitive to output inaccuracies and misinformation. In this regard, Virtuous AI combines predictive and generative AI services defined by data privacy, explainability and accuracy. It envisions a future where each business is supported by their own internal, private AI trained on data from the company.
Unlike contemporary black box AI models, where it is impossible to retrace the output back to its source, the company’s core foundational AI model features built-in explainability, providing higher data transparency, traceability, and governance.
“By focusing on explainability, we can delineate the reason behind a generated output and help build trust, mitigate bias, and ensure data security,” says Chris Patton, head of product at Virtuous AI.
The company, through a rigorous journaling process, documents the AI training process as it propagates through the model. This approach bolsters transparency, ensuring the AI model’s training is thoroughly annotated. What differentiates this approach is the fusion of recommender systems with large language models. This synergy harnesses the best of both worlds, combining the creativity of large language models with recommender systems’ precision and accuracy. Virtuous AI also provides a set of application programming interfaces (APIs), allowing businesses to upload relevant production data and internal documentation into their AI model, which they can use according to their requirements.
Virtuous AI employs a three-layered data safety system. The firm implements hard data partitions in its SaaS solutions to isolate AI models trained on individual company data, preventing integration with other datasets. The built-in controls monitor information security levels, ensuring that users can only access the portion of the model trained on their authorized data. The third security layer involves on-premise hosting, which limits data access to client’s employees.
The firm follows a rigorous onboarding process to ensure client interests align with the company’s capabilities. It begins with a discovery phase, where it identifies the client’s challenges and creates a customized AI roadmap for them. Virtuous AI then conducts training sessions for the client’s developers on how to effectively leverage the platform. The firm engages in code development, and collaborates with the client’s development team to implement projects identified during the discovery phase.
Virtuous AI has worked with several companies to enhance their operational efficiency. In one noteworthy instance, the firm supported a technology company that developed hardware and software solutions with multiple products in its catalog. The client’s goal was to equip each support agent with the ability to resolve any customer issue. Virtuous AI aided the client in training the AI model on the data provided by the latter, which included product documentation, knowledge base articles, and materials regarding potential errors. The AI platform correspondingly enabled support agents to ask questions about customer issues and receive accurate responses that referenced the base documentation. Resolving customer queries accurately and quickly resulted in positive customer feedback and fruitful partnerships.
By focusing on explainability, we can delineate the reason behind a generated output and help build trust, mitigate bias, and ensure data security.
Virtuous AI’s distinctive focus on explainability has established it as a reliable solution provider in the generative AI sector. By highlighting the reasoning behind the generative model’s output, the company has assisted clients in better governing, auditing, and detecting biases in the generated responses, improving precision and accuracy.
Virtuous AI appoints Chris Happ as new CEO to transform enterprise AI with "AI in a Box"
Tuesday, July 16, 2024
LOS GATOS, Calif., -- Virtuous AI is proud to announce the appointment of Chris Happ as its new Chief Executive Officer. Happ's appointment on June 1, 2024, marks a pivotal turn as Virtuous AI emerges from the beta phase, ready to implement a robust go-to-market strategy.
Foremost of the developments that Happ will spearhead is Virtuous AI's groundbreaking new "AI in a Box" platform.
"AI in a Box" overcomes two primary challenges of AI adoption in the enterprise – complex technology and AI expertise. "AI in a Box" offers a complete AI technology platform for enterprises that does not require deep AI expertise or exorbitant investments to deploy. With "AI in a Box," businesses of all sizes can have a custom AI proof of concept solution in just 90 days.
Leading the charge on innovations like this is a primary mark of Happ's proven track record in building and growing companies. He co-founded and served as CEO at blueSolutions before exiting to Hubwoo (HBW.PA), building a global customer list including ExxonMobil, Chevron, Visa, AIG, and Pfizer. Happ also co-founded and led Goby to significant growth and eventual exit to Conservice. As CEO at MarketTime, he led the firm to 780% revenue growth over three years landing them on the Inc 5000 list of fastest-growing private companies in America.
"Chris's vision and expertise make him the perfect leader to position VAI at the forefront of enterprise-class AI solutions," said Rory Donovan, the founder of Virtuous AI. "His appointment underscores our commitment to delivering cutting-edge AI technology to our clients."
Donovan initially led the Virtuous AI team as CEO during product development. His groundbreaking graduate research in neuro-prosthetics led to the development of a highly efficient brain-computer interface. This breakthrough resulted in a new AI model architecture that has outperformed others in both accuracy and efficiency.
Now, as Chief Technology Officer, Donovan will focus on his passion: advancing AI model architecture. With Donovan's original product now complete, Virtuous AI has confidently brought on Happ as a visionary commercial leader with over 25 years of experience in growing and scaling innovative, high-growth B2B software companies.
"I'm proud to join the exceptional team at Virtuous AI during this landmark time," said Happ. "Virtuous AI offers a standout solution for the obstacles enterprises face as they adopt AI. Our technology, combined with unlimited market opportunity, mark the start of more exciting B2B enterprise developments ahead."
Company
Virtuous AI
Management
Chris Patton, Head of Product
Description
Virtuous AI distinguishes itself by offering ethical and transparent AI services. They provide specialized "whitebox" ML models developed by seasoned experts, ensuring interpretable predictions.
