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Open-source AI solutions company ClearML today announced the launch of ClearGPT, a secure and enterprise-grade generative AI platform. The primary goal of the platform is to enable organizations to securely and efficiently deploy and use state-of-the-art large language models (LLMs) at scale.
The company claims its distinguishing feature is the customization of LLMs to tailor to an enterprise’s specific data, operate seamlessly within its network, and ensure comprehensive intellectual property (IP) protection, compliance, and knowledge. The tool enables companies to harness the power of ChatGPT-like LLMs and improve their operations by using AI to drive innovation, productivity, and efficiency.
ClearGPT aims to enable organizations to accelerate the development of internal and external products, outperform competitors and help generate new revenue streams.
“Our new platform is a drop-in replacement for [an] LLM chat interface (such as ChatGPT) for large enterprises. It enables enterprises to manage and create AI models directly from their organizational data without losing AI-as-a-service capabilities,” Moses Guttmann, co-founder and CEO of ClearML, told VentureBeat. “Companies can use ClearGPT to deploy their model as an API, embed it into their internal applications, or otherwise integrate it into their workflow.”
According to Guttmann, the platform securely handles the entire end-to-end workflow at scale. This includes securely collecting internal company data from sources such as SharePoint, Google Drive, or Slack. Customers can then choose a model, train the data, and move on to the QA stage to test and assess model quality.
The platform also ensures that the trained models have the same access rights as the original data, creating a secure operating environment. This preserves privacy and access control, enabling companies to harness the power of AI without compromising data security.
“ClearGPT handles the entire end-to-end AI model building and deployment process within the organization’s secure network. This means that data is not passed on to a third party or vendor, and internal data access privileges are preserved,” Guttmann told VentureBeat. “This process ensures companies retain 100% ownership of the data and any AI created from it , unlike other generative AI-as-a-service solutions.”
Mitigation of ChatGPT ensures safe generative AI adoption
The company said the inherent limitations of existing solutions, such as ChatGPT, have hindered the widespread adoption of LLMs across the enterprise. Concerns about security, performance, cost, data management and customization have prevented organizations from taking full advantage of the potential of LLMs within their secure corporate boundaries. ClearGPT aims to directly address these challenges and eliminate associated risks.
Using public APIs to access generative AI models and xGPT solutions has left organizations vulnerable to data breaches and privacy violations. ClearGPT provides a solution by providing a secure environment within the organization’s network, ensuring full control and eliminating the possibility of data leaks.
“For an organization to comply with ISO 27001, SOC2, HIPAA, GDPR and other compliance standards, it must refrain from sharing sensitive information and sensitive data of its customers,” Guttmann told VentureBeat. “Unfortunately, with AI-as-a-service, there is no control over the type of data transferred outside the company. This means it is challenging to maintain compliance. ClearGPT’s design ensures that no company leaks private internal data and that companies can continue to provide the level of privacy their customers expect.”
Guttmann explained that enterprises can achieve dynamic AI capabilities by building AI models using internal data and maintaining a continuous stream of new data for model training. This approach ensures that the AI models have access to the latest version of the organization data.
Training and deployment of AI models takes place within the enterprise’s secure network, and the ClearGPT platform ensures that customers retain full ownership of every model developed and refined on the platform.
“We make sure competitors never get access to the capabilities you’re developing internally,” said Guttman. “ClearGPT is fully customizable to the unique use cases of the enterprise and integrates easily with any business application. We designed ClearGPT as low-code to enable rapid internal adoption by CxOs, business units and knowledge workers – so no AI experience [is] needed.”
Address enterprise AI performance and cost challenges
Guttmann believes existing xGPT solutions have consistently presented performance and cost challenges. He said GPT performance in these solutions typically remains opaque and unadjustable. ClearGPT, on the other hand, stands out for providing real-time feedback and extensive customization options, while significantly reducing operational costs.
“We offer the unique advantage of continuously improving the performance of our base models internally, so that model responses are based on new data and your feedback. [This is] unlike other solutions, where their GPT performance remains fixed and cannot be improved because they work with outdated, inaccurate data,” adds Guttmann.
In addition, the platform supports enterprise-level LLMs regardless of the model types used. This eliminates the risks and burden associated with costly, time-consuming maintenance and overhead. As a tangible example, organizations could seamlessly deploy an enterprise chat agent capable of answering complex questions effectively using a combination of internal and external corporate data.
“Our solution empowers you to power a business chat agent that answers even the most complex questions based on internal and external business data,” said Guttmann. “With ClearGPT, enterprises can combine multiple data sources into one AI model. This gives the model direct access to numerous data signals and insights. This allows each new AI request to infer and correlate hidden relationships between data sources and provide new business insights that are otherwise non-trivial or impossible to correlate with current business data tools or dashboards.”
What’s next for ClearML?
Guttmann firmly believes that ClearGPT will lead a revolutionary transformation in the enterprise AI landscape as the platform empowers enterprise companies to effortlessly develop automated AI-driven processes that seemed like science fiction just a few years ago.
He said this progress is being achieved while ensuring full control and ownership of data and models.
“Companies will be able to use ClearGPT to drive innovation, productivity and efficiency at scale and develop new internal and external products faster and at a lower cost, outsmart the competition and create new AI revenue streams,” he said. “With the introduction of new AI models to the market, companies will increasingly build self-contained automated processes where employees only need to monitor AI performance and direct it to the best path of action; this is the beginning of a new industrialized AI era.”
