AI based Infrastructure cost observability, management and prediction platform to help in cost optimization and budget planning. It provides in-depth cost insights visualization, detailed cost analysis and distribution, resource utilization reporting, alerts, savings recommendation, trend anomaly and prediction. The platform is secure and can run completely within organization premises.
Automatically detect unused resources and enables quick optimization. It provides cost analysis to get savings, anomalies, trends and prediction to better plan the infrastructure budget.
AI cost informations based on the usage of AI resources such as APIs and GPUs.
Provides in-depth cost insights across your infra with intuitive visualization.
AI based anomaly detection and trends based on historical and real time cost data.
Supports cost forecasting to help efficient budget planning for datacenters.
GenAI based Cost assistant which can answer cost queries, get quick insights and take prompt actions.
Provides the cost observability for VM and Container/Kubernetes based deployments covering various resources such as cpu, gpu, memory, storage, network and more.
Custom report generation and support standard cost specifications like FOCUS v1.1
Supports various settings to get notifications and alerts on cost or budget policy
Analysis and gives exact distribution of the costs to specific teams, projects, or business units based the resource usage
Enables chargeback or showback to improve cost awareness and accountability
Secured at code level and platform level to ensure the data security. Supports NIO (No internet Operation)
Runs on CPU or GPU. CostSense is optimized for resource utilization and can be deployed locally with AI features running on both CPU and GPU.
Price information from cloud and local resources can be added.
Supports external integrations for visualization, data storage and other features to extend and customize the capabilities (victoriametrics, prometheus, cortex and thanos as TSDB)
CostSense is highly configurable and can be customized (example: configure pre-existing PromQL compliant TSDB)
Get a comprehensive view of cost in real-time, from the data center (on-prem, cloud or hybrid) for the spending of different resources (cpu, storage, network, memory, gpu, backup and more). The user can get the cost for the applications, clusters and different segment of users (different teams, dev, production etc)
As a large number of AI applications are getting developed, the cost associated with AI (APIs, Services and Infrastructure like GPU) impacts its successful deployments. It can be complex to get a granular view of various costs associated with AI resources. Getting detailed AI cost insights along with saving recommendations for each application improves the accessibility and usage of AI solutions.
Users can get deviations in the expenses quickly to control the overall budget. One can set various thresholds and policies to receive alerts accordingly. This helps to find out application anomalies and specific resources eating up the cost. Along with immediate cost savings, the application also can be optimized which can provide higher business value.
Infrastructure cost is a critical aspect for organization level budget planning. The cost trends and forecasting can provide sufficient insights and inputs for the same. The user can get quarterly, half-yearly or annual budget predictions and trends for any custom time window. A detailed cost analysis at various levels (team, department, business unit etc) can help to get fine tuned budget information for financial and capacity planning.
Organizational level infrastructure cost saving provides higher profitability and business sustainability. Cost Sense can provide real-time resource utilization, cost insights and also various saving recommendations. AI based automation also can be done on top of these recommendations for faster actions for cost savings.
Optimized Data Center capacity planning enables smooth application development, testing, trials and production without any hindrance of infrastructure at the same time with optimized cost. The trend, anomaly and forecasting along with cost distribution and real time monitoring can provide inputs for effective and accurate capacity planning.
Custom reporting and compliance CXOs can create or get custom reports on cost with different granularity. This helps in clear communication, analysis and decision making among the stakeholders. These reports can also help in financial and other compliances and transparent operations.
Our collaboration models are flexible and rely on mutual value creation. This enables us to find suitable timeline, costing and deliverable to resolve the customer challenges.
Our industry associations, research and technology engagements make our products and solutions up-to-date to ensure the competency and at the same time, simplified.
We utilize AI and Security research to the best and enhance the capability of our products and solutions. This is natural as we have a dedicated verticals for AI and Security research.
Optimize your cloud spend and maximize ROI with AI-driven insights. Contact us today to start your journey towards cost efficiency.