Thread AI collects $ 20 million for its AI-driven workflow automation platform

Thread AI Inc., a startup that helps to automate business tasks with the help of artificial intelligence, has collected 20 million US dollars in financial resources.

The company announced round A on Thursday. It was led by Greycroft with the participation of Skala Venture Partners, Plug-and-Play, Meritech Capital and Homebrew. Index Ventures, the largest investor in the previous round of Thread AI, also took part.

Thread Ai started last year by the employees of the former Palantir Technologies Inc. Mayada Gonimah (picture left) and Angela McNeal (right). It offers a platform called Lemma that can automate complex, multi -stage tasks, e.g. B. the basic cause of equipment failures. With a drag-and-drop interface, customers can put together automation workflows from pre-packed software components. It is advertised as a simpler alternative to the existing automation technologies on the market.

“Today, companies are exposed to a frustrating dilemma when they implement AI, either with rigid, pre-built applications that force them to supply their business logic in a predefined structure, or invest in talent, infrastructure and technical resources to create user-defined AI workflows from a row,” said McNeal.

The platform from Thread AI is based on an open source technology called serverless workflow or SWF. It is a programming language that is aimed at creating workflows for task automation. SWF contains reliability functions with which workflows can automatically restore certain types of technical problems. It also has a relatively simple syntax to facilitate development.

The platform from Thread Ai uses a Updated version From SWF with additional functions. The company has added improvements that make it easier to integrate AI models into automation workflows. In addition, these AI models can use external applications such as databases to process user requirements.

Troubleshooting hardware misalignments are one of the tasks that AI promises to facilitate customers. With the platform, a manufacturer can create an automation workflow that collects data from device sensors, creates error warnings and tries to fix the problem with AI. The workflow could also be configured in such a way that technicians can be resolved automatically.

In addition to text data such as sensor protocols, Lemma can take multimodal inputs. For example, it could enrich equipment default warnings with film material from production line cameras. The platform automatically encrypts the files that absorb and remove sensitive data in order to reduce the risk of a violation.

Thread AI also offers other cyber security functions. According to the company, its user -defined SWF implementation contains authentication functions that are not included in the original version. There is also an automatic scan mechanism for susceptibility to security that helps companies recognize weaknesses in their infrastructure.

According to the company, its platform helped customers accelerate some business processes by 70%. In order to expand the introduction of the product, the company will invest its new financing round in the expansion of its commercial team.

Photo: Index company