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Ingenimax.ai

Ingenimax.ai empowers teams to automate and scale cloud-native AI applications with intelligent, seamless deployment and management.

Ingenimax.ai screenshot

Category: Automation

Price Model: Freemium

Audience: Enterprise

Trustpilot Score: N/A

Trustpilot Reviews: N/A

Our Review

Ingenimax.ai: Streamlining Cloud-Native AI Operations with Intelligent Automation

Ingenimax.ai is a powerful platform engineering solution designed for developers and teams building and deploying cloud-native applications at scale, with a strong focus on AI/ML and GenAI workloads. It empowers platform engineering teams to automate infrastructure provisioning, scaling, and management across AWS, GCP, and Oracle Cloud, while seamlessly integrating with popular DevOps tools like GitHub, GitLab, ArgoCD, and CI/CD pipelines such as GitHub Actions and CircleCI. Built on Kubernetes, Terraform, and Helm, the platform simplifies complex operations through AI-driven automation, enabling one-click deployment of AI/ML and GenAI models using KServe, dynamic model hot swapping, and Kubernetes-native routing. With support for self-hosting observability stacks including Prometheus and Grafana, and full compatibility with monitoring tools like DataDog, Ingenimax.ai ensures visibility, security, and performance in production environments. The platform is vendor-agnostic, promotes open standards, and is backed by industry leaders including NVIDIA Inception, making it ideal for teams aiming to reduce technical debt and accelerate delivery. It offers a 14-day free trial with no credit card required, along with free learning resources through its Student Hub and educational discounts for students and institutions.

Key Features:

  • Intelligent agents for platform engineering teams
  • Cloud-native application delivery at production scale
  • Multi-cloud support (AWS, GCP, Oracle Cloud)
  • Automated provisioning, scaling, and management of infrastructure
  • Optimized CI/CD pipelines with reduced build times and improved deployment strategies
  • One-click deployment of AI/ML and GenAI models via KServe
  • Simplified Kubernetes management without manual kubectl or Helm commands
  • Support for deploying vibe coding apps and adding custom integrations
  • Self-hostable observability stack (Prometheus, Grafana)
  • Integration with GitHub, GitLab, ArgoCD, GitHub Actions, CircleCI
  • Support for Kubernetes, Terraform, Helm, and monitoring tools (Prometheus, Grafana, DataDog)
  • Dynamic model/agent hot swapping and Kubernetes-native routing
  • Vendor-agnostic architecture with flexible integration into existing tools
  • Free trial with full access to StarOps platform and ownership of generated assets
  • Technical onboarding support for new users
  • Educational resources, tutorials, and open-source projects via Student Hub
  • Educational discounts for students and academic institutions
  • Comprehensive documentation and best practices
  • Secure data handling with encryption in transit and at rest, and logical account separation
  • Data retention policies aligned with legal and business needs

Pricing: Ingenimax.ai offers a Developer plan (Free Forever), Teams plan ($199/month), and Enterprise plan (Custom Pricing). All plans include basic workflows, advanced observability, custom integrations, and priority support. The Developer plan is ideal for open-source projects and comes with community support. The Teams plan supports up to 5 users, includes private or foundational models, business hours support, 30-day data retention, and advanced observability. The Enterprise plan delivers unlimited agents, full infrastructure automation, complete CI/CD integration, 90-day data retention, managed onboarding, and priority support. A 14-day free trial is available for Starter and Professional plans, and annual billing offers significant savings. No long-term commitment is required, and monthly plans can be canceled anytime.

Conclusion: Ingenimax.ai stands out as a forward-thinking, developer-friendly platform that combines intelligent automation with robust cloud-native capabilities, making it an essential tool for teams looking to accelerate AI-driven application delivery while maintaining control, security, and flexibility.

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