Firefly provides an agentic cloud automation platform that transforms how platform engineering teams manage multi-cloud infrastructure through continuous discovery, automated codification, and intelligent governance. The platform addresses the fundamental challenge of maintaining control and visibility across sprawling cloud environments where resources are deployed through multiple methods and tools.

At its core, Firefly continuously scans cloud footprints to create a unified inventory of all infrastructure assets, whether managed by code or deployed manually through consoles and APIs. The platform tracks resources across AWS, Azure, GCP and major SaaS providers, building a comprehensive system of record that maps dependencies, ownership, and configuration state. This multi-cloud asset management provides complete visibility into the infrastructure landscape, enabling teams to understand what exists, who owns it, and how components relate to each other.

The automated codification engine converts unmanaged cloud resources into version-controlled infrastructure-as-code using AI agents that understand context, dependencies, and cost implications. Firefly generates standardized Terraform and OpenTofu configurations automatically, enabling teams to achieve 100% IaC coverage without manual translation work. The platform detects drift when resources deviate from their coded baseline and provides context-aware remediation that prioritizes fixes based on cost impact and operational risk.

For governance, Firefly enforces Policy-as-Code throughout the infrastructure lifecycle from development to production. Built-in guardrails validate compliance requirements, cost limits, tagging standards, end-of-life policies, and security configurations before changes reach production. The shift-left approach prevents costly misconfigurations and policy violations rather than discovering them after deployment. The platform integrates FinOps controls directly into the development workflow, enabling teams to block budget-breaking changes and standardize cost allocation through automated tagging.

The disaster recovery capabilities transform backup and restoration from manual processes into continuous, code-based operations. DR-as-Code captures entire environment configurations with dependencies, enabling rapid redeployment from one region to another using versioned snapshots. The approach supports RTO requirements and business continuity planning through point-in-time recovery and comprehensive change tracking.

Firefly orchestrates IaC workflows with secure plan-to-apply cycles that include validation, policy checks, and approval gates. Teams can use Firefly runners or integrate with existing CI/CD pipelines while maintaining consistent governance across all deployment paths. The platform provides self-service provisioning capabilities that empower developers while maintaining centralized control over compliance and cost.

The Thinkerbell AI assistant enables conversational interactions with infrastructure operations while operating with full context awareness of resources, dependencies, and policies. The AI agents act with precision within defined guardrails, supporting self-healing infrastructure through automated detection and remediation of configuration issues.

Enterprise customers leverage Firefly to reduce engineering time spent on manual configuration tasks, eliminate cloud waste through automated cleanup of idle resources, and maintain compliance across global infrastructure footprints. The platform manages over 13 million cloud resources, has detected over 500,000 configuration drifts, and helps organizations identify millions in potential cost savings annually.