Developer & Cloud Infrastructure

Lernowa AI Labs — Cloud & Developer Infrastructure Division

Lernowa AI Labs engineers autonomous cloud remediation agents, high-throughput RAG data pipelines, and Model Context Protocol (MCP) tooling for enterprise engineering teams.


Production Systems & Marketplace Integrations

1. CloudSweep AI — Autonomous AWS FinOps Agent

An event-driven AWS FinOps architecture that identifies idle cloud assets (orphaned EBS volumes, unattached Elastic IPs, stale snapshots), calculates exact monthly waste, and autonomously opens remediation Pull Requests in Terraform/IaC directly in your GitHub repository.

  • Architecture: AWS Step Functions, AWS Lambda, DynamoDB, Cross-Account Read-Only IAM
  • Deployment: Available via AWS Marketplace & Private Cloud Deployment

2. RAG Documentation Scraper & Markdown Chunker Engine

A specialized web extraction and token-chunking pipeline engineered for AI retrieval systems. Strips DOM boilerplate and converts complex technical documentation (GitBook, Docusaurus, ReadMe) into clean, hierarchy-preserved Markdown and JSON chunks ready for vector ingestion (Pinecone, Qdrant, Chroma, pgvector).

  • Ecosystem Availability: Apify Store | RapidAPI Hub | Model Context Protocol (MCP) | n8n Community Nodes

Enterprise Support & Security

  • Zero Data Retention: Stateless execution pipelines across AWS us-east-2 and containerized worker nodes.
  • Custom Integrations & SLA: For enterprise rate limits, private VPC deployments, or custom MCP/API pipelines, use the Request Platform Access portal or contact our engineering team directly.