Credo AI debuts with an integration center for built-in responsible AI

CredoAI Inc., an artificial intelligence management software startup, today announced that it is making its new integration center generally available.

The company says it is now becoming simple for enterprises to connect AI systems and applications with its specialized Credo AI platform, which helps automate risk management and governance. The startup, which made headlines in late July when it closed a $21 million funding round, is on a mission to help companies deploy AI responsibly through an automated management platform that helps ensure models comply with key regulations such as EU regulations Artificial Intelligence Act, NIST and ISO.

Credo AI software provides organizations with a simple window through which they can monitor the compliance of all their AI initiatives. It aims to address both how AI models collect data and suggest controls that can be integrated to develop stronger guardrails to ensure they don’t go off the rails.

What’s unique about the Credo AI management platform is that it doesn’t offer a one-size-fits-all approach, as it understands that every company and organization has different priorities when it comes to security and compliance. That’s why the startup works with each of its clients to help understand their AI values ​​and priorities, so it can better understand what tools they need to ensure their AI projects are aligned with those goals.

With today’s launch of Credo AI Integrations Hub, the startup provides enterprises with a simple way to integrate management automation tools with popular AI development tools such as Amazon SageMaker, Amazon Bedrock, MLFlow, Microsoft Azure Machine Learning, Weights & Biases, Hugging Face and Collibra. as well as business platforms such as Jira, ServiceNow, Salesforce, Microsoft Dynamics 365, Databricks and Asana.

Credo AI enables you to combine all AI initiatives across the above platforms into a centralized management platform where you can easily enforce policies and compliance across each of them. It helps ensure that nothing is missed on any of these platforms and only relevant data flows into management processes.

In this way, Credo AI claims to eliminate the burden of managing data science and engineering teams by automating compliance checks for all AI models, enabling them to focus on the real capabilities of AI rather than worrying about risk.

To customize their management processes, customers can upload and categorize all the documentation they need to prove that their AI systems meet all the safety, security, integrity and regulatory requirements they must comply with. The platform can also connect to the core datasets on which each model is based, ensuring they meet the same requirements, the company says.

Another advantage is that the Credo AI Integration Center also makes it easy to generate documentation that shows how a client’s AI systems meet specific management requirements.

Credo AI founder and CEO Navrina Singh said Integrations Hub is the industry’s first specialized AI management tool that can be integrated with existing business and AI platforms. “It enables companies to embed responsible AI management as a key part of their business,” she said. “Not as an afterthought, but as a business imperative.”

Singh said she believes companies have valid reasons for wanting to simplify AI management. The company recently contracted International Data Corp. conducting a survey that shows that over 500 executives around the world believe that responsible practices are the key to improving metrics such as revenue, customer satisfaction, profitability and shareholder value through artificial intelligence. Additionally, he points to an independent study by McKinsey Co. that shows 91% of organizations feel “ill-prepared” to meet the challenges of generative AI.

While all companies in these surveys have dedicated governance, risk management and compliance tools, they are concerned that they are not practical for AI use cases because they were designed primarily for legacy software and applications. According to Singh, off-the-shelf management tools specifically tailored to AI technology are needed.

“The rapid evolution of AI means that organizations need governance solutions that not only ensure accountability, but also maximize the ROI of their AI and LLM investments,” the CEO said.

Photo: SiliconANGLE/Microsoft Designer