News from the AI & ML world
DeeperML
@siliconangle.com
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Thread AI Inc., a startup specializing in AI-powered workflow automation, has secured $20 million in Series A funding. The investment round was spearheaded by Greycroft, with significant contributions from Scale Venture Partners, Plug-and-Play, Meritech Capital, and Homebrew. Index Ventures, a major investor from the company's previous funding round, also participated. Founded last year by former Palantir Technologies Inc. employees Mayada Gonimah and Angela McNeal, Thread AI offers a platform called Lemma that simplifies the automation of complex, multi-step tasks, such as identifying the root causes of equipment failures.
The Lemma platform features a drag-and-drop interface that allows users to construct automation workflows from pre-packaged software components. This user-friendly design aims to provide a more accessible alternative to existing automation technologies, which can be cumbersome and require extensive technical expertise. According to McNeal, Thread AI addresses the common dilemma businesses face when implementing AI: choosing between rigid, prebuilt applications that don't fit their specific needs or investing heavily in custom AI workflow development.
Thread AI's platform is built upon Serverless Workflow (SWF), an open-source programming language designed for creating task automation workflows. The company has enhanced SWF with additional features, making it easier to integrate AI models into automation processes. These AI models can also leverage external applications, such as databases, to handle user requests. A practical application of Lemma is troubleshooting hardware malfunctions. For instance, a manufacturer could create a workflow to collect data from equipment sensors, identify error alerts, and use AI to attempt to resolve the issue automatically. If the problem persists, the system can notify technicians. The platform also incorporates cybersecurity measures, including enhanced authentication features and an automatic vulnerability scanning mechanism.
ImgSrc: d15shllkswkct0.
References :
The Lemma platform features a drag-and-drop interface that allows users to construct automation workflows from pre-packaged software components. This user-friendly design aims to provide a more accessible alternative to existing automation technologies, which can be cumbersome and require extensive technical expertise. According to McNeal, Thread AI addresses the common dilemma businesses face when implementing AI: choosing between rigid, prebuilt applications that don't fit their specific needs or investing heavily in custom AI workflow development.
Thread AI's platform is built upon Serverless Workflow (SWF), an open-source programming language designed for creating task automation workflows. The company has enhanced SWF with additional features, making it easier to integrate AI models into automation processes. These AI models can also leverage external applications, such as databases, to handle user requests. A practical application of Lemma is troubleshooting hardware malfunctions. For instance, a manufacturer could create a workflow to collect data from equipment sensors, identify error alerts, and use AI to attempt to resolve the issue automatically. If the problem persists, the system can notify technicians. The platform also incorporates cybersecurity measures, including enhanced authentication features and an automatic vulnerability scanning mechanism.
ImgSrc: d15shllkswkct0.
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References :
- Gradient Flow: Workflow, Not Wizardry: The Real Levers of AI Success at Work
- SiliconANGLE: Thread AI raises $20M for its AI-powered workflow automation platform
Classification:
- HashTags: #AIWorkflow #Automation #EnterpriseAI
- Target: Enterprises
- Product: Workflow Automation
- Feature: Workflow Automation
- Type: AI
- Severity: Informative