Thread AI builds composable AI infrastructure through its core platform, Lemma, which enables enterprises to design, deploy, and scale event-driven, distributed AI workflows and agents. Lemma supports unlimited AI models, APIs, and applications within a single platform and is built with enterprise-grade security, governance, and observability. The platform aims to reduce operational burden and simplify infrastructure compared with traditional RPA, ETL, or workflow engines. Thread AI positions Lemma to help customers rapidly prototype and deploy AI workflows while maintaining scalability and security. Early customers report a 70% improvement in process response times and have expanded AI implementations by 250% to 500%, demonstrating measurable efficiency and scalability gains. The company says the new funding will allow it to expand the composable AI platform and enable customers to deploy AI at scale. Thread AI emerged from stealth to launch Lemma, a composable AI infrastructure platform that unifies disparate systems to build observable, robust, and secure AI-powered workflows. Lemma enables enterprises to prototype and productionize event-driven, distributed workflows spanning AI models, APIs, and applications while providing a native governance and observability layer. The platform targets mission-critical use cases with guarantees around availability, scalability, and security, and is already being used by customers in luxury hospitality, digital marketing, public safety, financial services, defense, energy, and retail. Thread AI emphasizes human-in-the-loop handoffs and constraints like cost to help companies focus on proprietary logic rather than platform engineering. The company says Lemma can connect even physical systems to AI workflows and has driven early customer momentum, including references from VaynerMedia and BRINC Drones. Thread AI plans to hire aggressively and expand its public sector footprint using new funding.

Total raised

$26M

Funding rounds

2

Latest round

Series A

Latest activity

Jun 2025