Chaturtham provides an AI‑driven platform that continuously collects telemetry from AWS, Azure, and GCP and uses reinforcement‑learning to rightsize and migrate workloads in real time. The solution automates autoscaling, cost anomaly detection, and policy enforcement, delivering dashboards and APIs for integration with CI/CD and cloud‑governance tools to reduce cloud spend for enterprise DevOps and finance teams.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises running workloads on public cloud platforms often experience fragmented resource allocation, leading to idle compute capacity and inflated operational expenditures. Traditional manual scaling and static reservation policies fail to adapt to fluctuating demand, resulting in persistent cost inefficiencies.
Solution
Chaturtham delivers an AI‑driven optimization engine that continuously ingests telemetry from AWS, Azure, and GCP, then applies reinforcement‑learning and predictive analytics to rebalance workloads in real time. The platform automatically rightsizes instances, migrates workloads across regions, and enforces cost policies without requiring manual intervention. Integrated dashboards surface utilization metrics, cost forecasts, and actionable recommendations, while secure APIs enable seamless incorporation into existing CI/CD pipelines and cloud‑governance tools. By eliminating idle capacity and aligning compute supply with demand, Chaturtham reduces cloud spend and improves overall infrastructure efficiency.
Target Audience
Primary customers are cloud cost managers, DevOps engineering teams, and CTOs of mid‑size to large enterprises that operate workloads across AWS, Azure, or Google Cloud and seek automated cost‑efficiency solutions.
Features
- Real‑time telemetry collector that aggregates CPU, memory, network, and storage metrics across multi‑cloud environments
- Reinforcement‑learning based autoscaling engine that predicts workload peaks and proactively adjusts instance types and counts
- Cross‑cloud orchestration layer supporting AWS EC2, Azure VM, and GCP Compute Engine with automated workload migration
- Cost anomaly detection module that flags unexpected spend spikes and suggests remediation actions
- Role‑based policy engine allowing finance or DevOps teams to enforce budget caps, tag‑based allocation rules, and compliance constraints
- Interactive web console with heat‑map visualizations, utilization trends, and exportable reports in CSV/JSON formats
- RESTful and CLI integrations for CI/CD tools, Terraform, and Kubernetes operators, enabling infrastructure‑as‑code workflows
- End‑to‑end encryption of telemetry data in transit and at rest, meeting SOC 2 and ISO 27001 standards