Kanu — The AI Cloud Engineer
Describe what you need in plain English, and this platform writes the application code, the AWS infrastructure to run it, and deploys it — like hiring a cloud engineer who never sleeps.
🔗 Visit Kanu — The AI Cloud Engineer
Description
Standing up a new service usually needs both application code and separate infrastructure work — Terraform, CI/CD, monitoring — often done by different people. Kanu tries to collapse that into one step: you describe what you want in natural language, and it generates both the application and the infrastructure-as-code needed to run it, then deploys directly into your own AWS account.
Under the hood it coordinates three AI agents — one for interpreting intent, one for DevOps execution, one for QA — to design, build, and validate the system. It generates infrastructure-as-code in Terraform, CDK, or CloudFormation alongside the application code, deploys with no data egress from the customer's AWS account, and runs 250+ automated validation checks against the live system. It reads logs, metrics, and traces to diagnose issues, uses a PR-based workflow with human approval gates before changes ship, and carries SOC 2 Type II compliance with full audit trails. It's built for a single-tenant deployment model rather than shared infrastructure. Pricing isn't published — it's quote-based, aimed at enterprise buyers.
💬 Our review
The short version: this is aimed squarely at enterprise teams that already run on AWS and want to compress the app-plus-infrastructure delivery cycle, not at solo developers or small startups — the SOC 2 compliance, single-tenant architecture, and quote-based pricing all signal an enterprise sales motion rather than a self-serve tool.
The no-data-egress, deploy-into-your-own-AWS-account model is the standout differentiator versus a generic AI coding assistant: your infrastructure and data never leave your cloud account, which matters a lot for regulated industries that can't use a shared-tenant AI platform. Against a traditional DevOps consultancy or in-house platform team, Kanu's pitch is speed — three coordinated agents plus 250+ automated checks in place of a slower human review cycle — but the trade-off is trusting AI-generated infrastructure code in production, mitigated here by the PR-based approval gates. Without published pricing, it's hard to judge value directly; this is a tool to pilot on a real workload before committing, not one to compare on price alone.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Tarification non publiée, sur devis pour les équipes entreprise
Pros
Déploie directement dans le compte AWS du client, sans transfert de données
250+ vérifications automatisées contre le système en production
Workflow basé sur PR avec portes d'approbation humaines, conformité SOC 2 Type II
Cons
Tarification non publiée, difficile à évaluer sans démo/devis
Positionnement entreprise, peu adapté aux petites équipes ou solo
Confier de l'infrastructure générée par IA en production demande de la confiance malgré les garde-fous