Upload files
Teams upload documents, recordings, notes, or operational files.
AI automation infrastructure for modern teams.
AI automation infrastructure for modern teams.
Kaymai helps startups and small teams process files, summarize documents and media, automate internal reports, and organize workflow outputs through a secure AI-powered cloud dashboard.
Kaymai workflow dashboard
Synthetic product preview
File
meeting-recording.mp4
1Upload file
2AI processing
3Summary
4Report
5Secure output
Output
SummaryAction itemsDecisionsBlockers
Storage
Secure workspace
Report
Ready for review
How Kaymai works
A clear workflow from raw operational inputs to structured outputs that teams can review and reuse.
Process with AI
Kaymai prepares summaries, extracts key points, and structures useful outputs.
Generate reports
Outputs can become internal reports, meeting notes, task lists, or workflow records.
Store securely
Processed files and outputs are organized inside a planned secure cloud workspace.
Teams waste too much time on repetitive digital operations.
M
Manual file processing
Important files still get uploaded, renamed, summarized, and moved by hand.
S
Scattered workflow tools
Operational work is spread across folders, chats, spreadsheets, and one-off tools.
S
Slow internal reporting
Meeting notes, status reports, and updates take too long to prepare manually.
Product
One dashboard for AI-assisted workflow automation.
Kaymai is designed as a secure product surface for file intake, AI processing, reports, workflow status, and team review.
F
File upload and processing
Collect documents, recordings, notes, and operational files in one workflow-ready workspace.
A
AI summarization for documents, audio, and video
Turn long files into concise summaries, key points, decisions, blockers, and follow-up actions.
A
Automated internal reporting
Convert processed information into structured reports for operations, meetings, and team updates.
W
Workflow triggers
Start repeatable workflows from file uploads, scheduled tasks, or manual review actions.
S
Secure object storage
Keep source files and generated outputs organized for later review and team access.
T
Team dashboard
Give teams one place to review workflow status, outputs, summaries, and planned automation tasks.
Modules
Planned product modules
The planned product is organized around practical modules that turn raw files into reviewable workflow outputs.
Planned
I
Intake
File uploads, metadata, source organization, and workflow entry points.
Planned
A
AI Processing
Summarization, extraction, formatting, and structured output generation.
Planned
R
Reports
Meeting notes, operational summaries, decisions, blockers, and action items.
Planned
W
Workspace
Secure storage, output history, review status, and team visibility.
Planned
A
Automation
Planned workflow triggers, scheduled processing, and repeatable task chains.
Planned
O
Observability
Planned status tracking, processing logs, and workflow health indicators.
Use cases
Built for practical team workflows.
Kaymai focuses on everyday operational work that small teams need to complete reliably.
Meeting and video summarization
Problem: Recordings are long and hard to review.
Kaymai output: Summaries, decisions, blockers, and action items.
Document intelligence
Problem: Important information is buried inside PDFs, notes, and reports.
Kaymai output: Key points, structured notes, and reusable internal knowledge.
Startup operations automation
Problem: Founders and small teams repeat manual admin and reporting work.
Kaymai output: Recurring summaries, workflow records, and operational reports.
Internal knowledge workflows
Problem: Team knowledge is scattered across chats, files, and folders.
Kaymai output: Organized summaries and searchable workflow outputs.
Why Kaymai
Why teams would use Kaymai
Kaymai is positioned for small teams that need a focused automation layer before building complex internal systems.
L
Less manual work
Reduce repetitive file handling, summarization, and reporting.
M
More structured outputs
Turn messy inputs into readable summaries, reports, and action lists.
C
Cloud-native foundation
Designed to grow from a simple dashboard into scalable workflow infrastructure.
E
Early-stage flexibility
Built with a focused roadmap and lightweight architecture for fast iteration.
Infrastructure
Designed for Cloudflare-native infrastructure.
Kaymai is planned around a lightweight, scalable, and secure cloud architecture using intended Cloudflare-native deployment patterns.
Intended architecture
C
Cloudflare Pages
Static frontend deployment for fast global delivery.
Intended architecture
C
Cloudflare Workers
Planned backend APIs and workflow execution at the edge.
Intended architecture
C
Cloudflare R2
Planned object storage for files, media, and generated outputs.
Intended architecture
C
Cloudflare D1
Planned structured data layer for workflow metadata.
Intended architecture
C
Cloudflare AI / AI Gateway
Planned AI-assisted processing, model routing, and observability.
Intended architecture
C
Cloudflare security tools
Planned protection, DNS, analytics, and application security.
Step 1
Frontend
Step 2
Worker API
Step 3
AI processing
Step 4
R2 storage
Step 5
D1 metadata
Step 6
Dashboard output
Roadmap
Product roadmap
The roadmap is intentionally early-stage and focused on validating the product experience before expanding the platform.
- 01
Public landing page and early contact
- 02
Workflow dashboard prototype
- 03
AI file processing demo
- 04
Secure team workspace
- 05
Cloudflare-native deployment
- 06
Early access pilot
Build with Kaymai.
For startup programs, partnerships, or early access, contact Kaymai.
contact@kaymai.space