Thread AI provides Lemma, a composable AI orchestration platform for building and managing AI workflows and agents. This platform allows teams to prototype and productionize AI solutions using low-code interfaces or APIs, significantly reducing infrastructure complexity. Lemma ensures secure adoption through features like data encryption, PII redaction, and unified governance across all operationalized models.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face challenges in deploying and managing AI solutions due to the lack of unified standards for data models, the need for human oversight, and the complexity of integrating AI across diverse software products and cloud providers. This complexity increases operational overhead and slows down feature delivery.
Solution
Thread AI's Lemma platform provides a composable AI orchestration solution that enables organizations to design, implement, and manage mission-critical workflows. Lemma integrates AI models, APIs, databases, ETL systems, and applications into a single platform, reducing infrastructure complexity and accelerating time to value. The platform supports human-in-the-loop guardrails, dynamic workflow planning, and a flexible AI API gateway, allowing businesses to connect and orchestrate AI across different products, platforms, and cloud providers.
Target Audience
Lemma is designed for enterprises that maintain mission-critical systems with highly repetitive tasks or high labor costs, and builders of all technical skill levels.
Features
- Composable nodes and templates for building workflows within the Lemma console
- Support for REST and gRPC APIs with flexible authentication policies and security protections
- Human-in-the-loop interfaces for real-time oversight and corrections
- Dynamic workflow planning and execution for non-deterministic, multi-step processes
- Non-Human Identity (NHI) management layer for monitoring and governing AI models
- Agnostic to model service or cloud provider, ensuring adaptability and avoiding vendor lock-in
- ETL support for tabular, non-tabular, and unstructured data
- Streaming, batch, and interactive execution modalities
- Data encryption at rest (AES-256) and in transit (TLS)
- Automatic vulnerability scanning for continuous threat detection