File upload and processing
Collect documents, recordings, notes, and operational files in one workflow-ready workspace.
Product
A planned cloud dashboard for AI-assisted workflow automation.
Kaymai is designed to help small teams upload files, process content with AI assistance, generate summaries, prepare operational reports, and manage workflow outputs from one secure cloud dashboard.
One dashboard for AI-assisted workflow automation.
AI summarization for documents, audio, and video
Turn long files into concise summaries, key points, decisions, blockers, and follow-up actions.
Automated internal reporting
Convert processed information into structured reports for operations, meetings, and team updates.
Workflow triggers
Start repeatable workflows from file uploads, scheduled tasks, or manual review actions.
Secure object storage
Keep source files and generated outputs organized for later review and team access.
Team dashboard
Give teams one place to review workflow status, outputs, summaries, and planned automation tasks.
Workflow model
From input to useful output.
Kaymai's product vision is intentionally practical: receive an input, run a clear processing step, then return an output that can be reviewed, stored, or reused.
01
Upload files or media
02
Run AI-assisted processing
03
Review generated summaries
04
Route outputs into team workflows
Dashboard detail
Designed around reviewable workflow outputs.
Kaymai is not positioned as a black-box automation layer. The intended product experience keeps humans in the review loop while repetitive preparation work is handled by the system.
Review queue
Processed outputs can be reviewed before they become reports, task lists, or reusable internal knowledge.
Output history
Teams can refer back to summaries, generated reports, source files, and workflow status in one organized workspace.
Operational context
Metadata, source type, workflow status, and review notes help teams understand where each output came from.
Modules
Planned product modules
Kaymai's intended product modules map the full workflow from intake to processing, reports, storage, automation, and observability.
Planned
Intake
File uploads, metadata, source organization, and workflow entry points.
Planned
AI Processing
Summarization, extraction, formatting, and structured output generation.
Planned
Reports
Meeting notes, operational summaries, decisions, blockers, and action items.
Planned
Workspace
Secure storage, output history, review status, and team visibility.
Planned
Automation
Planned workflow triggers, scheduled processing, and repeatable task chains.
Planned
Observability
Planned status tracking, processing logs, and workflow health indicators.
Interested in the product direction?
Contact Kaymai for startup programs, partnerships, or early access conversations.
Contact Kaymai