Infrastructure

AI and cloud infrastructure.

Kaymai is being built with Claude as the intelligence layer and Cloudflare for application infrastructure — static delivery, edge execution, object storage, structured data, and AI observability.

The stack Kaymai is building on.

The decided architecture behind Kaymai's AI workflows. Services that are still under evaluation are marked as such.

Claude API

AI reasoning layer for document understanding, summarization, structured extraction, report generation, and workflow intelligence.

Cloudflare Workers

Backend APIs and workflow execution at the edge.

Cloudflare R2

Object storage for source files and generated workflow outputs.

Cloudflare D1

Structured metadata and application data for workflows.

Cloudflare AI Gateway

Observability and management for AI requests.

Cloudflare Security

Security and edge protection for Kaymai services.

Kaymai participates in the Cloudflare for Startups program.

Architecture flow

From frontend to workflow output.

Workflow inputs move from the frontend through edge APIs and Claude-powered processing into storage, metadata, and dashboard review.

Step 1

Frontend

Step 2

Worker API

Step 3

Claude AI processing

Step 4

R2 storage

Step 5

D1 metadata

Step 6

Dashboard output

Static-first public site

The public website is static today and deployable to Cloudflare Pages or Vercel without a backend service.

Edge-ready product path

Product APIs use edge runtime patterns where they make sense for workflow execution.

Security-conscious growth

The platform prioritizes protected uploads, controlled access, and clear operational boundaries as product scope expands.