Plan
Define infrastructure requirements and deployment intent.
Design infrastructure. Understand cloud and AI economics. Generate production-ready Terraform. Operate Kubernetes with governed AI agents.
CrftInfrai connects architecture, cost, infrastructure generation, validation, and production operations in one decision workflow.
AWS · Azure · GCP · OCI · Terraform · Kubernetes · AI Cost Intelligence · AgenticOps
Stop evaluating AI only by token price. CrftInfrai connects model pricing with workload performance so teams can understand the real economics of AI before scaling.

*Example comparison view for AI model pricing and usage estimates
CrftInfrai connects the decisions teams make before deployment with the governed workflows they need in production.
Define infrastructure requirements and deployment intent.
Understand cloud and LLM costs before deployment.
Create cloud, Kubernetes, or agent infrastructure architecture.
Generate infrastructure configuration and Terraform.
Check architecture, configuration and deployment decisions.
Use governed AI agents for infrastructure operations.
Understand AI economics beyond token price.
Compare matching infrastructure and cost across providers.
Design visually, predict cost, and generate deployment-ready Terraform.
Use AI to turn infrastructure requirements into cloud architecture and Terraform.
Operate Kubernetes with evidence, approvals, GitOps, and verified recovery.
CrftInfrai AgenticOps is not a single chatbot. It is a multi-agent operations platform for Kubernetes, DevOps, SRE, GitOps, platform engineering, cluster upgrades, remediation, approvals, and verified recovery.
Detects unhealthy pods, deployments, namespaces, nodes, and cluster-level degradation signals.
Performs RCA for ImagePullBackOff, CrashLoopBackOff, Pending pods, rollout failures, and scheduling issues.
Generates safe remediation plans with confidence scoring, risk checks, and policy awareness.
Coordinates controlled operational actions such as restart, rollback, scaling, and workload inspection.
Creates GitOps-ready changes and pull requests instead of directly modifying production systems.
Tracks application sync, drift, deployment status, and post-change rollout health.
Plans Kubernetes upgrades with compatibility checks, risk analysis, and pre-upgrade validation.
Builds platform stacks using templates, Terraform generation, GitOps patterns, and operational blueprints.
Verifies whether remediation restored workload, namespace, service, and deployment health.
Adds approval, audit trail, risk scoring, production safeguards, and controlled remediation gates.
Go from idea → production stack with proven blueprints and cost clarity before spend.
Standardize infrastructure decisions across teams and clouds with auditability and cost visibility.
Turn infrastructure into a repeatable system: patterns, guardrails, and predictable Terraform outputs.
Reduce MTTR with AI-assisted Kubernetes RCA, remediation planning, approvals, and recovery verification.
Evaluate architecture before execution.
Expose architecture trade-offs, risk hotspots, and cost impact before anything reaches production.
Bake in repeatable patterns and guardrails so teams ship consistent infrastructure, not snowflakes.
Terraform is generated, transparent, and owned by you. CrftInfrai augments decisions without locking you in.
See cost before commitment. AWS • GCP • Azure • OCI.
Compare providers using real-time pricing APIs with clear per-resource breakdowns.
Predict cost per resource and per cloud. Compare scenarios side-by-side with consistent assumptions.
Model infrastructure across clouds including hybrid, failover, and multi-region architectures.
Plan AI spend before integrating models.
Compare token pricing, tiers, and context lengths across major providers in one place.
Forecast monthly spend from prompts and calls so you can budget before production usage ramps.
Side-by-side pricing for LLMs, Image, Speech, STT/TTS, Vector, and Embeddings.
Design visually. Generate deterministically.
Design resources across AWS, Azure, GCP, and OCI. Connect and configure components visually.
Auto-generate deterministic Terraform from your design. Export or deploy with controlled workflows.
Start with proven blueprints for Kubernetes, databases, networking, and CI/CD. Fully customizable and standards-first.
The operational flow from Kubernetes incident detection to verified recovery.
Identify unhealthy pods, failed rollouts, degraded deployments, node pressure, scheduling failures, and namespace-level issues.
Use diagnosis agents to understand whether the issue is image-related, config-related, resource-related, rollout-related, or scheduling-related.
Produce a safe, explainable remediation plan with evidence, confidence, risk score, and recommended next action.
Trigger approval when the action is risky, production-impacting, destructive, or policy-sensitive.
Generate pull requests for Kubernetes, Helm, Kustomize, ArgoCD, or Terraform changes instead of direct production mutation.
Confirm that the workload, deployment, namespace, and service health actually recovered after remediation.
Repeatable delivery without chaos.
Out-of-the-box support for GitHub Actions, ArgoCD, GitLab patterns, and PR-based infrastructure workflows.
Provision Prometheus, Grafana, Loki, and Tempo using production-ready patterns.
RBAC, secrets handling patterns, and audit-friendly workflows that scale with teams.
Pick a blueprint. Understand cost. Customize with confidence.
Start quickly with proven architectures for Kubernetes, databases, networking, and CI/CD.
Each blueprint includes predicted hourly and monthly cost so you can choose with clarity.
Select “Use Blueprint” to preload the design into the infrastructure studio for customization.
Launch production-ready infrastructure with prebuilt, scalable Terraform blueprints.
Spin up a highly available EKS cluster with PostgreSQL and CI/CD via ArgoCD.
Prebuilt and optimized for cost and performance.
Google Kubernetes Engine setup with managed SQL and GitHub-based CI/CD pipelines.
Prebuilt and optimized for cost and performance.
Azure-native setup with AKS, PostgreSQL, and Prometheus/Grafana stack.
Prebuilt and optimized for cost and performance.
Run microservices using ECS Fargate, ALB, and CloudWatch.
Prebuilt and optimized for cost and performance.
Host a serverless app with Cloud Run and Cloud SQL.
Prebuilt and optimized for cost and performance.
Frontend on Azure Static Apps, backend with Azure Functions and CosmosDB.
Prebuilt and optimized for cost and performance.
Deploy redundant workloads to AWS + GCP with DNS-based failover.
Prebuilt and optimized for cost and performance.
Low-cost Kubernetes setup using Spot or Preemptible VMs.
Prebuilt and optimized for cost and performance.
Explore CrftInfrai's agentic infrastructure platform or see how governed agents can build and operate your infrastructure.