About Lamatic's managed middleware and collaborative builder allows SaaS teams to embed and iterate intelligent AI agents into their products an order of magnitude faster than alternative approaches. Designed for high availability, scalability, and low latency, Lamatic’s architecture enables developers to build AI-driven applications that remain performant under heavy load.

Key Features

• Instant GenAI Deployment: Build and deploy GenAI agents on the Edge in seconds as a GraphQL API or custom widget.

• Optimized Performance: Drag and drop models, apps, data, and agents to refine workflows and reduce latency.

• Seamless Integration: Launch 10x faster with a fully managed GenAI tech stack and serverless Edge deployment.

• Reliability & Insights: Ensure accuracy with testing, real-time tracing, and actionable reports for data-driven decisions.

How they use Cloudflare 🔗 Dedicated GraphQL APIs: Deploy per-customer GraphQL API endpoints using Cloudflare Workers, ensuring low-latency, high-speed data processing. ⚡ Scalability & Performance: Lamatic.ai distributes workloads across Cloudflare’s global network rather than relying on a centralized cluster, reducing technical overhead as they scale.

🛠 AI-Driven Workflows: Support for AI-based applications, including Retrieval-Augmented Generation (RAG) workflows, with fast, token-efficient data processing.

🔐 Secure and Persistent Data Storage: Leverages Cloudflare KV for encrypted credential storage, decrypting only at execution time for enhanced security.

🔄 Asynchronous Task Processing: Uses Cloudflare Queues to efficiently orchestrate AI workflows, handle webhooks, and distribute workloads with minimal bottlenecks.

Lamatic.ai has seamlessly integrated Cloudflare’s serverless technology to scale AI-driven SaaS applications efficiently. At the core of Lamatic’s architecture is Cloudflare Workers, which enables the deployment of dedicated GraphQL API endpoints per customer. This approach processes requests closer to end users, reducing latency and improving performance while offloading computational strain from centralized servers. This has allowed Lamatic.ai to scale to millions of serverless requests and thousands of API endpoints.

Lamatic.ai uses a layered architecture to scale AI services efficiently. By leveraging Cloudflare Workers, each customer gets a dedicated serverless environment, ensuring high performance, security, and reduced technical overhead. Sensitive credentials are stored securely in Cloudflare KV storage, encrypted until needed for execution, enhancing security with a just-in-time authentication model.

Cloudflare Queues optimizes asynchronous task processing, improving data retrieval for Retrieval-Augmented Generation (RAG) workflows. This minimizes latency spikes and ensures efficient AI agent performance even during high request volumes.

Together, these Cloudflare technologies enable Lamatic.ai to cost-effectively handle high AI request volumes with low latency and robust security, making it an ideal platform for SaaS teams embedding AI features into their products.

Why Cloudflare?

"Cloudflare’s Workers for Platforms has been a huge unlock for us—scaling dedicated per-customer workloads without the overhead of traditional cloud infrastructure is invaluable." Aman, Cofounder & CTO, Lamatic.ai

"Cloudflare’s distributed network has allowed Lamatic to maintain high availability, low latency, and robust security—all while managing millions of serverless requests." Aman,Cofounder & CTO, Lamatic.ai