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Thread AI Secures $20 Million Series A to Transform Enterprise AI Workflows

Thread AI Secures  Million Series A to Transform Enterprise AI Workflows
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Thread AI, a leader in composable AI infrastructure, today announced it has raised $20 million in Series A funding led by Greycroft, with participation from Index Ventures, Scale Venture Partners, Plug-and-Play, Meritech Capital, and Homebrew. Founded by former Palantir executives Angela McNeal and Mayada Gonimah, Thread AI helps enterprises design, deploy, and scale AI-powered workflows through its core platform, Lemma.

Also Read: Upgrading to Smart Meeting Rooms with AI Integrations

Despite the rapid adoption of AI, many organizations struggle integrating AI into complex, evolving environments. They often must choose between rigid, pre-built AI tools that don’t fit their workflows, or costly custom solutions requiring extensive engineering. Thread AI addresses this gap with composable infrastructure that connects AI models, data, and automation into adaptable, end-to-end workflows aligned with each organization’s specific needs.

“Companies today face a frustrating dilemma when implementing AI, either settle for rigid, pre-built applications that force them to fit their business logic into a predefined structure, or invest heavily in talent, infrastructure, and engineering resources to build custom AI workflows from scratch,” said Angela McNeal, Co-Founder and CEO of Thread AI. “Thread AI offers a flexible platform that lets organizations build AI workflows suited to their operations—without compromising scalability or security.”

Also Read: Is LoRa the Backbone of Decentralized AI Networks?

Unlike traditional RPA, ETL, or workflow engines that mirror human workflows or require large infrastructure investments, Thread AI’s Lemma platform allows enterprises to rapidly prototype and deploy event-driven, distributed AI workflows and agents. Lemma supports unlimited AI models, APIs, and applications all within a single platform built with enterprise-grade security. This speeds up deployment, reduces operational burden, and simplifies infrastructure, while maintaining governance, observability, and seamless AI model upgrades. As a result, Thread AI equips enterprises with the flexibility to keep up with today’s rapidly changing AI ecosystem, and the cross-functionality to unlock the power of AI across their entire organization.

“Enterprises need more than AI-powered apps—they need a secure, scalable infrastructure that evolves with their business,” said Mark Terbeek, Partner at Greycroft. “Thread AI provides a powerful, adaptable platform that helps organizations implement AI at scale.”

As companies shift from isolated automation tools to fully integrated AI workflows, they’re seeking horizontal platforms that combine the best elements of RPA, ETL, and orchestration tools. Lemma users report a 70% improvement in process response times, along with significant efficiency gains as AI-powered workflows reduce operational bottlenecks. Early customers have expanded their AI implementations by 250% to 500%, demonstrating Thread AI’s scalability and practical impact.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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