Salesforce rebrands its low-code platform to Einstein 1 Studio

Salesforce on Wednesday rebranded its low-code platform, Einstein Studio,  to provide developers a set of tools to customize Einstein Copilot and add new capabilities to it.  

Einstein Studio, now rebranded to Einstein 1 Studio, comes bundled with the company’s Data Cloud at no added cost and features capabilities such as a control panel to expose enterprise data to large language models (LLMs) of their choice, including GPT-4 and Llama 2, and Skills Builder — a tool to add new functions to Copilot basis the requirement or use case.

Salesforce Einstein platform was released in September last year as an open platform that the company developed to enable enterprises to unify their data before developing generative AI-based applications and use cases via low code and no code interface.

In essence, the platform is a combination of the Salesforce Data Cloud, Einstein Copilot, and the Einstein Trust Layer, earlier released as part of the Salesforce AI Cloud. 

Einstein 1 Studio, in contrast, comes with a new feature and another rebranded feature while carrying forward the existing capability of exposing enterprise data to LLMs.

The new feature, which Claire Cheng, vice president of machine learning and AI engineering at Salesforce said was in the works last month, has been launched as the Prompt Builder and has been made generally available.

Prompt Builder, as Cheng had said, allows developers to create reusable LLM prompts without the need for writing code — a capability that was missing from the Einstein 1 platform.

While rebranding the Studio platform, Salesforce has also rebranded its Skills Builder feature to Copilot Builder, which is in beta or public preview.

Generally, software providers publish a beta version of a feature for enterprises to try and weed out bugs before making it generally available to any willing enterprise customer.  

Skills Builder and Copilot Builder don’t seem to be fundamentally different than one another and the company in a statement said that the latter would help developers to add new skills to their Einstein Copilot.

“Builder helps every company configure and customize Einstein Copilot to their business. Salesforce admins and developers can use tools they already have like Apex, Flow, and MuleSoft APIs and new generative AI components like prompts to enable Einstein Copilot to complete tasks in the flow of work,” the company said.

Einstein 1 Studio, also, carries forward Einstein Studio’s capability to allow developers to choose among LLMs available to embed into applications or use cases by exposing enterprise data of their choice.

Salesforce, according to analysts, is better positioned to take advantage of generative AI-led features when compared to its rivals.

“Salesforce has a major advantage over many of its rivals, simply because it captures so much interaction data from its user base, and as such, the models are able to be trained on a massive number of Salesforce-specific tasks and processes, and the related metadata,” said Keith Kirkpatrick, research director at The Futurum Group.

When asked about how Salesforce’s rivals compared to its generative AI capabilities and their release timelines, Kirkpatrick said that Microsoft was also doing a solid job of rolling out its Copilots, taking a very function-specific approach.  

“This allows Copilots to assist or carry out very function-specific use cases, and lets users access data held in other applications or data sources, and interact with it within the flow of work within a familiar Microsoft application,” Kirkpatrick explained.

Microsoft recently announced its Copilot for Finance in public preview, and Service and Sales Copilots are already generally available.