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
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Zero Data Retention: Stateless execution pipelines across AWS
us-east-2and 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.