RADCloud
Migration-Native FinOps
RADCloud collapses migration + FinOps into one parallel AI workflow. Migrate smarter. Optimize from Day 0.
Migration-Native FinOps — One Unified AI OS for the Entire Cloud Transition.
5 specialized AI agents — Discovery, Mapping, Risk, FinOps Intel, and Watchdog — work together from Day 0.
AI-powered contextual reasoning translates cloud architectures — not just code conversion, but deep optimization.
Pre-calculates Reserved Instances, Savings Plans, and right-sized compute before a single resource is deployed.
AI-powered contextual reasoning that understands architecture, usage patterns, and cost implications.
Running at ~40% utilization, tied to committed use discounts
Right-sized compute with pre-calculated Savings Plans
VM instances with over-provisioned resources
Right-sized instances with Reserved Instance strategy
Managed relational database (MySQL, PostgreSQL)
Managed relational database with multi-AZ and RI optimization
Object storage buckets with no lifecycle policies
Intelligent tiering + lifecycle policies auto-configured
Managed Kubernetes with idle node overhead
Right-sized nodes with Spot Instance integration
ML platform with expensive always-on endpoints
Serverless inference with auto-scaling, cost-optimized
5 specialized AI agents — working together from Day 0.
Scans your entire GCP infrastructure — configs, billing, committed usage, and dependencies.
Translates every GCP service to its optimal AWS equivalent — flagging the ~15% with no direct counterpart.
Detects deployment risks, data migration hazards, and generates confidence-ranked plans with rollbacks.
Analyzes usage patterns to pre-calculate Reserved Instances, Savings Plans, and right-sized compute — before deployment.
Generates deployment-ready Terraform, migration runbooks, and provides continuous post-migration monitoring.
RADCloud eliminates the sequential model. Parallel execution delivers Day-0 optimized deployment.
Multi-agent AI system replaces months of manual migration planning with intelligent, parallel analysis.
Pre-calculated Reserved Instances and Savings Plans eliminate waste from the very first deployment.
No 90-day wait. FinOps Intel Agent works alongside migration agents from the very start.
RADCloud's Watchdog Agent monitors, detects anomalies, and triggers auto-remediation.
Projected savings with RADCloud's Day 0 optimization vs traditional sequential approach.
Per-service cost comparison: GCP current vs AWS optimized by RADCloud.
FinOps Intel Agent detects waste and pre-calculates fixes. Hover or tap a card.
14 instances oversized by >40%
3.4 TB in expensive storage tiers
Replace expiring GCP commitments with AWS RIs
Post-migration, the Watchdog Agent continuously monitors and auto-applies optimizations when safe.
Watchdog scans for cost anomalies and waste patterns every 15 minutes.
Risk Agent ensures changes won't impact performance or availability.
Auto-applies safe changes: scaling, scheduling, RI purchases, and tier adjustments.
Validates health metrics post-change and auto-rolls back if anomalies detected.
RADCloud generates deployment-ready Terraform, runbooks, and FinOps plans.
The technology powering RADCloud's multi-agent intelligence system.
LLM reasoning backbone powering all 5 agents — shared context store for cross-agent intelligence, infrastructure analysis, and code generation.
AI EngineReal-time pricing data for pre-calculating Reserved Instances, Savings Plans, and right-sized costs.
Cost DataHistorical cost analysis and usage pattern detection for intelligent FinOps recommendations.
AnalyticsML-driven compute right-sizing recommendations integrated into the FinOps Intel Agent.
OptimizationInfrastructure-as-Code generation — converts GCP configs into deployment-ready AWS Terraform.
IaC OutputAutomated extraction and parsing of GCP infrastructure configurations for Discovery Agent.
Ingestion5 specialized agents (Discovery, Mapping, Risk, FinOps Intel, Watchdog) orchestrated with shared context.
Architecture