ClearML unveils ClearGPT, a generative AI platform that overcomes the challenges of ChatGPT

ClearML unveils ClearGPT, a generative AI platform that overcomes the challenges of ChatGPT

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Open source AI solutions company ClearML today announced the launch of ClearGPT, a secure, enterprise-grade generative AI platform. The main goal of the platform is to enable organizations to securely and efficiently implement and use state-of-the-art Large Language Models (LLM) at scale.

The company says its signature feature is the customization of LLMs to align with a company’s specific data, operating seamlessly within its network and ensuring comprehensive intellectual property (IP) protection, compliance and knowledge. The tool enables businesses to harness the power of ChatGPT-like LLMs, improving their operations by using artificial intelligence to drive innovation, productivity and efficiency.

ClearGPT aims to enable organizations to accelerate internal and external product development, outperform competitors and help generate new revenue streams.

“Our new platform is a drop-in replacement for (an) LLM chat interface (like ChatGPT) for businesses. It allows enterprises to control and build AI models directly from their organizational data without losing any AI-as-a-service capabilities,” Moses Guttmann, co-founder and CEO of ClearML, told VentureBeat. “Enterprises can use ClearGPT to deploy their model as an API, incorporate it into their internal applications, or otherwise integrate it into their workflow.”


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According to Guttmann, the platform securely handles the entire end-to-end workflow at scale. This includes the secure collection of internal corporate data from sources such as SharePoint, Google Drive or Slack. Customers can then choose a model, train the data, and proceed to the QA phase to test and evaluate the model’s quality.

The platform also ensures that trained models have the same access rights as the original data, creating a secure business environment. This preserves privacy and access control, allowing businesses to harness the power of AI without compromising data security.

“ClearGPT manages the entire process of building and deploying the end-to-end AI model within the organization’s secure network. This means that data is not passed on to third-party companies or vendors, and internal data access privileges are maintained,” Guttmann told VentureBeat. “This process ensures companies retain 100% ownership of the data and any artificial intelligence created by them, unlike other generative AI-as-a-service solutions”.

Mitigate ChatGPT concerns for secure adoption of Generative AI

The company said the inherent limitations of existing solutions, such as ChatGPT, have hindered widespread LLM adoption in the enterprise. Concerns around security, performance, cost, data governance and customization have prevented organizations from realizing the full potential of LLMs within their secure corporate boundaries. ClearGPT aims to address these challenges directly and eliminate the associated risks.

Using public APIs to access generative AI models and xGPT solutions has left organizations vulnerable to data leakage and privacy violations. ClearGPT offers a solution by providing a secure environment within the organization’s network, ensuring complete control and eliminating the possibility of data leakage.

“For an organization to be compliant with ISO 27001, SOC2, HIPAA, GDPR and other compliance standards, it should refrain from sharing sensitive information about its customers and its own sensitive data,” Guttmann told VentureBeat. “Unfortunately, when it comes to AI-as-a-service, there’s no control over what kind of data is transferred outside the enterprise. This means that maintaining compliance is challenging. ClearGPT’s design ensures that no company can disclose private internal data and companies can continue to provide the level of privacy their customers expect.”

Guttmann explained that companies could achieve dynamic AI capabilities by building AI models using internal data and maintaining a continuous flow of new data for model training. This approach ensures that AI models have access to the latest version of organizational data.

AI models are trained and deployed within the company’s secure network, and the ClearGPT platform ensures that customers retain complete ownership of any models developed and refined on the platform.

“We make sure that competitors will never have access to the capabilities you’re developing internally,” Guttman said. “ClearGPT is fully customizable for your company’s unique use cases and can be easily integrated 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 the performance and cost challenges of enterprise AI

Guttmann believes that existing xGPT solutions have consistently posed performance and cost challenges. He said GPT performance in these solutions typically remains opaque and unchangeable. In contrast, ClearGPT sets itself apart by providing real-time feedback and extensive customization options, all while significantly reducing operational costs.

“We offer the unique advantage of continuously improving the performance of our base models internally, ensuring model responses based on up-to-date data and your feedback. (This is) unlike other solutions, where their GPT performance remains fixed and cannot be improved because they work on outdated and inaccurate data,” Guttmann added.

Additionally, the platform supports enterprise-level LLMs, regardless of the model types used. This eliminates the risks and burdens associated with costly and time-consuming maintenance and overhead. As a tangible example, organizations would be able to seamlessly implement an enterprise chat agent that can effectively respond to complex queries using a combination of internal and external enterprise data.

“Our solution empowers an enterprise chat agent that answers even the most complex questions based on internal and external company data,” Guttmann said. “ClearGPT allows companies to combine multiple data sources into a single AI model. This gives the model direct access to numerous data signals and insights. This enables any new AI request to infer and correlate hidden connections between data sources and provide new business insights that would otherwise be non-trivial or impossible to correlate with current business data tools or dashboards.”

What’s next for ClearML?

Guttmann strongly believes that ClearGPT will drive a game-changing transformation in the enterprise AI landscape, as the platform enables enterprise companies to effortlessly develop automated AI-powered processes that would have seemed like science fiction just a few years ago.

He said these advances are achieved by ensuring complete control and ownership of data and models.

“Enterprises will be able to use ClearGPT to drive innovation, productivity and efficiency at scale and develop new internal and external products faster and at lower cost, outperform the competition and create new AI revenue streams,” he said. stated. “As new AI models are released into the market, companies will increasingly create autonomous automated processes where employees only need to supervise the performance of the AI ​​and direct them to the best course of action; this is the beginning of a new era of industrialized AI”.

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