Infrastructure intelligence for your engineering team.
Agents analyse your AWS environment continuously. IAM, cost, compliance, drift, architecture patterns. Findings arrive as pull requests in GitHub, messages in Slack, checks in your CLI, and context inside your IDE. Not a dashboard you have to visit. Intelligence where you already work.
Your team reviews. Your team executes. We provide the analysis and the context.
What you get
Pull Requests
Findings arrive as reviewed PRs in your GitHub repo. Specific changes, specific context. Review and merge.
Slack Integration
Findings surface in your channels where the conversation already happens. Ask questions, get answers.
CLI Checks
Run the same agents against a branch, a stack, or a new service before it ships. On-demand intelligence at deploy time.
IDE Context
Infrastructure context inside Claude Code via MCP. Your AI coding tools understand your environment, not just your code.
Pattern Analysis
What is running, why it was built that way, and what should not be repeated. The operational knowledge your codebase cannot tell you.
Compliance Mapping
Findings mapped to ISO 27001, PCI, APRA CPS234. Not generic alerts. Framework-specific context your team can act on.
What is included
The Analysis
- Continuous AWS environment scanning
- IAM configuration and drift detection
- Architecture pattern identification
- Cost anomaly detection and rightsizing
- Infrastructure documentation from live resources
The Delivery
- Findings as GitHub pull requests
- Slack integration for your engineering channels
- CLI checks before deployment
- IDE context via Claude Code MCP
- Prioritised findings with remediation guidance
The Context
- Compliance framework mapping (ISO, PCI, APRA)
- Operational knowledge encoded into findings
- What to ignore and what to prioritise
- Architecture guidance and advisory
- Roadmap reviews to ensure everything is on track
Under the hood
Specialist agents that never stop working. They run read-only against your AWS accounts continuously and surface what matters. No changes made to your environment without your team reviewing first.
How it works
Your environment is analysed continuously. Findings arrive where your engineers work. Your team decides what to act on.
Scan
Agents read your AWS environment. What is running, how it is configured, what has changed.
Analyse
Findings prioritised by impact. Mapped to compliance frameworks. Context provided for each.
Deliver
Pull requests, Slack, CLI, IDE. Findings arrive where your engineers already work.
Advise
Our team explains the why. What to fix first, what to watch, what patterns to break.
What our customers say
We have leaned very heavily on their expertise, both during the initial design and conception of these new systems as well as while we rolled them out into production.
They shared their knowledge and upskilled our own team and that of our other partners.
Read case studySee what the Lens finds in your environment.
Walk us through your AWS setup. We will show you what the first analysis covers.
Case Studies
Real results from companies we work with