AI ingestion
Turn noisy web pages into predictable Markdown and structured context for downstream systems.
AI-ready web content infrastructure
AIngestor
AI-ready web content infrastructure
Optimize websites for AI
Reduce token costs and make web content LLM-ready for agents, RAG and AI workflows.
Websites were built for humans. AIngestor makes them ready for AI.
pipeline
URL or raw HTML to optimized AI context
85% token reduction
01POST /api/v1/convert
02input: { url: "https://docs.example.com/page" }
03tokens_before: 120000
04tokens_after: 18000
05reduction_percent: 85
06markdown: "# Clean documentation..."
output
Markdown
fit
Agents + RAG
mode
Reader API
Context optimization
Shrink tokens, strip boilerplate, and preserve the parts that matter to agents and retrieval pipelines.
LLM-ready outputs
Ship cleaner inputs for RAG, embeddings, reader APIs, browser agents, and workflow automation.
Launch readiness
Get launch updates and production support notes
Keep the signal tight. Share an email plus the ingestion workflow you want to ship, and we will use that to shape launch docs, migration notes and early support.
Privacy-first by default. Use a lightweight external form action when you are ready, or fall back to direct email while launch routing is still settling.
The capture endpoint is intentionally not wired yet. For launch readiness, route early interest directly to the team mailbox until you choose a hosted form target.
NEXT_PUBLIC_WAITLIST_ACTION_URL=
Current contact target: [email protected]