Thread AI Launches Platform to Simplify Enterprise AI Workflows

Company raises $6 million in seed funding, led by Index Ventures, as customer momentum builds

Thread AI, a new company founded by former Palantir AI Product and Engineering leads Angela McNeal and Mayada Gonimah, emerged from stealth today to announce the launch of its composable AI infrastructure platform, Lemma. This AI workflow solution brings together disparate or previously incompatible systems into one observable, robust, and secure place so that enterprises can effectively implement and execute with AI.

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“Innovation runs deep at VaynerMedia, and we believe that AI is a fundamental tool to make our jobs more productive, augmenting teams to become more efficient and effective than ever before”

With Thread AI’s Lemma platform, companies can easily build mission-critical, automated workflows while seamlessly incorporating important constraints, like cost and human-in-the-loop handoffs. This means companies can focus on investing in proprietary logic and accelerating feature delivery without wasting time on platform and architecture decisions that slow development and execution. Thread AI is already working with some of the leading brands in luxury hospitality, digital marketing, public safety, and financial services.

In addition to its launch, Thread AI announced that it has raised $6 million in seed funding. The round was led by Index Ventures. Greycroft and notable angels, like Datadog CEO Olivier Pomel, former Roblox CTO Dan Sturman, and Homebrew also participated. Funds will be used to fuel growth as the company seeks to hire aggressively in the coming months and expand its public sector footprint.

The Need for Lemma

The average enterprise has more than 100 software products today– some cutting-edge, some legacy. Although advancements in AI have opened endless possibilities for innovation and optimization, incorporating AI across a business to deliver integrated workflows is not without serious challenges and risk. Enterprises are concerned about deploying AI safely and securely, and they must understand exactly how their data is being used and where it’s going.

“Enterprises are eager to adopt AI but struggle navigating a fragmented landscape of tools and addressing critical security and governance concerns,” said Angela McNeal, co-founder of Thread AI. “Today, enterprises that are trying to leverage AI for workflow automation with a human-in-the-loop component typically are limited to two bad choices: either build the supporting infrastructure from the ground up, which is time-intensive and challenging, or purchase an application layer service with a single solution to a specific workflow, which doesn’t scale. Maya and I knew we could develop something better.”

It takes complex and purpose-built infrastructure to seamlessly connect different AI data-models, to orchestrate across dozens of different systems and authentication policies, and to provide concise interfaces for the right guardrails, all of which require specialized knowledge and significant time to build in-house. Lemma solves for this, enabling enterprises to build scalable, safe, and robust AI-powered workflows without having to develop and maintain complex infrastructure across MLOps, ETL, and Orchestration stacks.

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“Angela and Maya are leveraging their deep AI technical expertise to solve a critical enterprise infrastructure problem. By bringing together previously scattered systems, Lemma delivers value that could not be recognized otherwise,” said Shardul Shah, Partner at Index Ventures. “We are thrilled to support them as they help enterprises get the most from AI, securely.”

Lemma allows organizations to prototype and productionize event-driven, distributed workflows that span AI models, APIs, and applications, all in one platform. This enables faster time to value while cutting down operational overhead and infrastructure complexity. It also increases productivity and efficiency across organizations, systems, and processes by safely and securely leveraging AI in workflow automation. The platform natively provides a governance layer for all AI models being operationalized within an organization, creating an additional level of observability.

“Innovation runs deep at VaynerMedia, and we believe that AI is a fundamental tool to make our jobs more productive, augmenting teams to become more efficient and effective than ever before,” said Ben Allison, SVP, Head of Media Operations at VaynerMedia. “Thread AI’s open, flexible platform is a perfect fit, as it allows us to tailor AI workflow solutions to our specific needs, while mitigating risk and meeting stringent security requirements.”

Early Customer Success Underscores Widespread Need for Lemma

Thread AI is experiencing surging demand across diverse sectors. The Lemma platform’s ability to connect and integrate even physical systems to AI workflows has sparked particular interest from companies with complex hardware footprints, including defense contractors and energy sector leaders. Thread AI is also engaging with Fortune 500 companies across Retail and Financial services sectors. No matter the industry, the Lemma platform provides mission critical level guarantees for always being available, scalable, and observable, with the goal of democratizing mission critical AI infrastructure for all kinds of AI powered workflows.

“Thread AI’s Lemma Platform transformed AI for us from a large, complex problem set, to being as simple as curling an API,” said Colin Bell, EVP of Cloud for BRINC Drones. “Now that we can develop customer facing AI features in just days, we’ve recommended their platform to several partners to help the industry fundamentally change how they approach AI.”

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