Startup spotlight building AI agents and accelerating innovation with Cohort 5
Explore how developers are using Cloudflare to scale AI workloads and streamline automation. Learn more about what our participants in Workers Launchpad Cohort 4 have built, and check out the latest startups participating in Cohort 5.
Cloudflare's Developer Platform is empowering startups to build and scale AI-driven applications with ease. Two standout examples from Workers Launchpad Cohort #5—Lamatic AI and Skyward AI—demonstrate the platform's capabilities in handling AI workloads.
Lamatic AI: Scalable AI Agent Platform
Lamatic.ai, founded in 2023, enables SaaS startups to integrate AI agents into their products via a no-code visual builder. The platform processes over three million serverless requests monthly using Cloudflare Workers, ensuring low latency and high performance. Key features include:
- Workers for Platforms: Isolates serverless logic per customer, enabling scalable deployments.
- Workers KV: Securely stores encrypted credentials and configurations.
- Queues & Pub/Sub: Manages asynchronous tasks like webhooks and data ETL.
Skyward AI: Automating Compliance with AI Agents
Skyward AI uses Cloudflare's serverless tools to build AI agents for compliance tasks like evidence collection and risk analysis. Their architecture leverages:
- Durable Objects: Maintains real-time session state for compliance workflows.
- AI Gateway: Provides observability across multiple AI vendors.
- Hyperdrive & R2: Reduces database latency by 50% and stores large documents cost-effectively.
Workers Launchpad Cohort #5
Cloudflare's latest cohort includes 25 startups innovating in AI, developer tools, and more. Notable participants:
| Company | Focus |
|---|---|
| Acemate | AI learning for students |
| Lamatic | Managed AI middleware |
| Skyward | AI-native compliance workspace |
Developers building on Cloudflare can share their projects or apply for Cohort #6.
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About the Author
Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.