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Amnic AI: FinOps Autopilot for All
Amnic AI is a context-aware FinOps OS that simplifies cloud cost management using intelligent agents, helping businesses cut analysis time, eliminate waste, and align teams on financial outcomes.
Reviews (4)
Boobesh K
AI-driven cost insights have reduced cloud spend while security and UI still need improvement
Reviewed on Oct 24, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Amnic - Cloud Cost Observability Platform is for dashboard and costing-related reports, and I am hoping to achieve effective data visualization and cost management with it.
A specific example of how I use Amnic - Cloud Cost Observability Platform for dashboard and costing-related reports is that we are using it with AWS and Azure products. From the AWS point of view, we handle a lot of AI models and multiple providers, and we cannot identify which API model is getting more utilization in the cost report and token-related details. However, this agent takes it forward and identifies which model is getting more utilization tokens and addresses costing purposes as well.
How has it helped my organization?
Amnic - Cloud Cost Observability Platform has positively impacted my organization by reducing my cloud costing significantly. Usually, I pay around 100% of the billing, but after using Amnic - Cloud Cost Observability Platform, that has been reduced to around 60%. I have cleared up unwanted things, unwanted tags, and unwanted services, most of which I managed to address.
Amnic - Cloud Cost Observability Platform helped me identify those unwanted tags and services through its integration with my cloud, which gets the entire base data to AWS Cost Explorer within Amnic - Cloud Cost Observability Platform. There are a lot of features in Amnic - Cloud Cost Observability Platform, and by asking the AI and utilizing those features, I am able to gather the necessary data based on the reports generated.
What is most valuable?
The best features Amnic - Cloud Cost Observability Platform offers are AI Chat and Amnic - Cloud Cost Observability Platform FinOps Autopilot, and these aspects stand out to me the most because they are very helpful for interacting with the AI conversationally, which allows us to obtain the entire data efficiently.
The chat and autopilot features help me in my day-to-day work by providing a quick alternative. For instance, if I need to present my costing report or review the top usage report-related items, I definitely go with the customized dashboard and export, which involves a lot of manual work. However, in the AI Chat, if I ask for the top services usage report, Amnic - Cloud Cost Observability Platform actually provides a proper report along with costing and a well-organized dashboard within a few minutes.
What needs improvement?
Currently, I have not noticed any improvements needed for Amnic - Cloud Cost Observability Platform, but I think it should ensure better security integration with our cloud system. I am the end user, and we need to ensure the security aspects, as I am sharing my entire data with Amnic - Cloud Cost Observability Platform agent. The agent and the AWS account communicate directly, which necessitates additional security considerations. We need to improve security enhancements, especially since every API call is traveling based on that. In case a cyber attack occurs, concerns arise about how Amnic - Cloud Cost Observability Platform would protect customer accounts.
I chose seven out of 10 because there are a lot of tools already available in the market, such as Zero Cloud, and both AWS and Azure also provide their own costing report portals. I see a need for improvement in Amnic - Cloud Cost Observability Platform, particularly in terms of the graphical interface and routing-related features to enhance the customer experience.
Regarding Amnic - Cloud Cost Observability Platform AI capabilities, I am not certain about its governance and security, specifically how it handles the entire costing report data with any specific data source. I question how they manage the data stored in Amnic - Cloud Cost Observability Platform cloud or otherwise in an organization's cloud. If my data is not being shared with anyone, then how is Amnic - Cloud Cost Observability Platform managing that? I understand everything is AI model-based, but it might be dependent on other models or specific backend management, such as VectorDB or RAG-related processes that we are unaware of, and that is something that needs improvement regarding security and governance.
For how long have I used the solution?
I have been using Amnic - Cloud Cost Observability Platform recently for two months.
What do I think about the stability of the solution?
Regarding Amnic - Cloud Cost Observability Platform AI capabilities and the accuracy and reliability of output, I find its accuracy to be fine, but sometimes latency happens. We cannot ensure that during peak times. If I try to generate a report, there may be network glitches or bandwidth issues, which definitely affects the performance. Otherwise, it is good.
Which solution did I use previously and why did I switch?
I was not using any other solution before Amnic - Cloud Cost Observability Platform. Usually, AWS provides cost explorer tools, and Azure offers its explorer, but internally, we ran a custom application as an internal solution. That application did not have AI-related features, such as a chatbot and integration, which is why we switched to Amnic - Cloud Cost Observability Platform.
What other advice do I have?
On a scale of one to 10, I would rate Amnic - Cloud Cost Observability Platform a seven.
My advice to others looking into using Amnic - Cloud Cost Observability Platform is that it is a good tool, and I would definitely share it with others. It responds in a very short time, and the reporting is good. When I talk with the business, I must explain the dashboard-related aspects since projection is very important, and Amnic - Cloud Cost Observability Platform is very helpful for visualization.
Vinod Solanke
Cloud cost observability has transformed multi-cloud savings and now drives accountable spending
Reviewed on Oct 22, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Amnic - Cloud Cost Observability Platform is for cloud cost optimization where we identify unused or idle resources, get recommendations, and reduce AWS and Azure costs. Also, I'm using it for cost allocation and chargeback where we assign the cost to team, product, department, and customer, improving accountability of cloud spending. Additionally, we use it for anomaly detection to detect unexpected cost spikes, receive alerts, and conduct root cause analysis for certain increases in cloud billing. Furthermore, we look to Amnic for budgeting and forecasting, FinOps reporting, Kubernetes cost monitoring, and it always aids cross-team visibility to help finance, DevOps SRE, and engineering understand their spending through role-specific areas.
How has it helped my organization?
Amnic - Cloud Cost Observability Platform has positively impacted our organization in many areas including reduced costs, improved financial accountability, faster decision-making, and operational efficiency. It prevents unexpected cost spikes, increases operational efficiency, and strengthens our FinOps culture. Amnic - Cloud Cost Observability Platform helps us gain complete visibility into cloud spending, reduce unnecessary costs, detect anomalies, automate FinOps processes, and improve collaboration between finance and engineering teams, resulting in cost control, enhanced operational efficiency, and more informed business decisions.
Regarding specific outcomes or metrics, our cost-saving metric shows that monthly before using Amnic - Cloud Cost Observability Platform, we spent around $100,000, and after implementing it, we are saving around 50%, which means we save approximately $15,000 monthly. Annually, we are saving around $180,000.
What is most valuable?
The best features Amnic - Cloud Cost Observability Platform offers include AI-powered cost analysis with natural language queries and automated root cause analysis, along with role-specific insights for finance, development, SRE, and management teams. There is also a feature for anomaly detection and automated reporting, along with a separate feature called the X-ray agent that performs cloud cost health checks, which is one of the best features.
The X-ray agent for cloud cost health checks provides a quick assessment report on cloud spending efficiency, highlights wastage and optimization opportunities, and allows us to power on the FinOps agent to easily track, automatically analyze costs, detect anomalies, and provide performance root cause analysis along with action recommendations in natural language, helping organizations optimize spending much faster than traditional dashboards.
Regarding governance and security, Amnic - Cloud Cost Observability Platform has governance benefits that include better accountability, reduced cost waste, and consistent finance control over the organization. However, monitoring compliance with FinOps policies requires attention. As for security, it supports access control, data protection, and compliance. On an organizational level, there is definitely an impact on governance, security, compliance, and operations along with FinOps. Amnic - Cloud Cost Observability Platform strengthens governance by providing budget control, cost optimization, policy enforcement, and cloud spending visibility. From a security perspective, it offers role-based secure cloud integration, data protection, and auditability, which collectively helps organizations maintain control over financial improvements, reduce risks, and enhance compliance across multi-cloud platforms.
Amnic - Cloud Cost Observability Platform's AI capabilities, including natural language queries, root cause analysis, anomaly detection, and cost optimization recommendations, provide accurate and reliable output. The platform's automated reporting, forecasting budget insights, and multi-cloud intelligence certainly have a business impact. Anomaly detection is one of the best features we rely on when using Amnic - Cloud Cost Observability Platform, coupled with RCA control, cost optimization, forecasting, and natural language AI, which provide easier access to FinOps insights.
What needs improvement?
In terms of improvements needed for Amnic - Cloud Cost Observability Platform, I think mostly if we add more AI features and improve broader cost service integration, including deeper integration with more cloud-native third-party tools and support for additional SaaS cost management, it could enhance the platform. We can also add more customizable dashboards for personalized KPIs to enhance visibility, along with providing role-based views for finance and engineering executives. Lastly, enhancing forecasting with AI-based predictions, automation remediation, and more granular cost insights would be beneficial, along with adding multi-cost governance and user training or adoption tutorials to aid new users.
Additionally, the best thing would be to add playbooks, tutorials, and FinOps guidelines where new users in the industry can easily understand what we are using and how to use it. Adding multi-cloud governance capability would also be greatly appreciated and helpful for any organization.
I chose 8 out of 10 primarily because there are more areas to add on. I believe Amnic - Cloud Cost Observability Platform can reach 10 out of 10, but it needs to improve in specific areas such as global governance across regions and cloud providers since larger organizations seek control over financial factors. This is crucial as significant costs can increase operational overhead, prompting them to look for certain features. If basic training, AI automation integration, and multi-cloud scaling are included in Amnic - Cloud Cost Observability Platform, it could definitely improve and reach 10 out of 10.
Regarding any additional improvements needed for Amnic - Cloud Cost Observability Platform that I haven't mentioned, it would help us greatly if we could receive optimization support from Amnic - Cloud Cost Observability Platform, as the current support model is something that could improve for future users and organizations.
For how long have I used the solution?
I have been using Amnic - Cloud Cost Observability Platform for one year.
What do I think about the stability of the solution?
Amnic - Cloud Cost Observability Platform is stable.
What do I think about the scalability of the solution?
In terms of scalability, Amnic - Cloud Cost Observability Platform supports multi-cloud scalability, large enterprise support, growing data volume, user scalability, and AI at scale, which are features we are definitely looking for.
How are customer service and support?
Amnic - Cloud Cost Observability Platform provides multi-level technical support, including technical assistance, FinOps guides, training and documentation, and issue resolution. However, customer success relies heavily on the support provided, so I feel that there should be additional personnel with improved expertise within customer support.
On a scale of 1 to 10, I would rate customer support as a 7 because Amnic - Cloud Cost Observability Platform needs to improve in certain areas. I have already mentioned that technical support needs smoother operations and customer support must ensure higher ROI. Faster resolution is required, and if better user training is added, it would significantly help us. Thus, I assign a rating of 7, acknowledging areas for improvement.
Which solution did I use previously and why did I switch?
Before using Amnic - Cloud Cost Observability Platform, we utilized a multi-cloud optimizer, specifically IBM Apptio, which was quite costly. We switched because organizations are continually seeking better solutions, and Amnic - Cloud Cost Observability Platform proved to be a more viable option.
What was our ROI?
I have seen a return on investment with Amnic - Cloud Cost Observability Platform primarily through cost savings. It effectively saves costs, which is one of the best aspects, and it also saves us time.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing has been positive. I have been working in this organization for around one year and five months, and I have extensive experience in FinOps and cost optimization with various tools. I can confidently say that Amnic - Cloud Cost Observability Platform is one of the best tools we are currently using in our organization.
What other advice do I have?
On a scale of 1 to 10, I would rate Amnic - Cloud Cost Observability Platform as 8+, because although there are many areas to improve, it helps us minimize unnecessary costs that we were spending. So specifically, I would add the 8.
Amnic - Cloud Cost Observability Platform is deployed in our organization on both on-premises and public cloud. For the public cloud part, we use Azure, AWS, Google, and also have on-premises solutions.
My advice to others looking into using Amnic - Cloud Cost Observability Platform is that it is one of the best applications due to its design and features aimed at helping organizations measure right-sizing cost effectiveness. The platform includes valuable features such as visibility, cost analysis, alerts, custom reports, anomaly detection, and budgeting features that I can confidently recommend.
Samarth Narula
Daily cost insights have enabled precise anomaly detection and automated root cause analysis
Reviewed on Oct 22, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Amnic - Cloud Cost Observability Platform is to detect anomalies, identify the major cost areas, and analyze why those cost areas have occurred.
A recent specific example of how I have used Amnic - Cloud Cost Observability Platform for anomaly detection and cost analysis occurred after one of our deployments, where we observed significant compute costs. I used Amnic - Cloud Cost Observability Platform to provide anomaly detection for the costs we were experiencing and to perform a root cause analysis about why this cost was happening. It identified the inter-region data transfer costs and outbound data transfer costs that resulted from the new deployment. We were then able to make appropriate changes and reduce these costs by deploying resources in the same region.
I use Amnic - Cloud Cost Observability Platform daily for cost exploration, generating cost reports, detecting different types of anomalies, and forecasting the budget. Based on these forecasts, we can maintain appropriate budget allocation. These are the different use cases I have on a daily basis with Amnic - Cloud Cost Observability Platform.
How has it helped my organization?
Amnic - Cloud Cost Observability Platform has positively impacted my organization, particularly with EKS cost monitoring. Previously, we struggled with monitoring Kubernetes costs. Amnic - Cloud Cost Observability Platform allows us to obtain cluster-level costs, node-level costs, and even namespace and pod-level cost details.
Since using Amnic - Cloud Cost Observability Platform, I have seen specific outcomes in our cost optimization efforts. We identified underutilized EC2 instances and reduced compute costs by shifting those EC2 instances to lower instance family types so that we would not be paying as much per hour for compute costs. These improvements were possible because Amnic - Cloud Cost Observability Platform analyzes the patterns of our usage and peak times over a month. It suggested that even during peak times, we were only maximizing 50% CPU utilization for a particular EC2 instance. This analysis provided us with specific EC2 instances where we could instantly reduce costs.
What is most valuable?
In my experience, the best features Amnic - Cloud Cost Observability Platform offers are anomaly detection and performing root cause analysis through prompts. Additionally, it generates different types of reports for different personas. For example, if I want to share a client report with the client's CTO, I can prompt it to generate the report accordingly. If I am sharing the report with a developer, I can generate the report in a way that provides specific details, instance IDs, and other information where modifications need to be made.
I value how the prompt-based root cause analysis works for my team because it creates reports in a manner that is understandable for a specific role, with details tailored to that role and how they view the information. A CTO is not interested in looking at instance IDs in AWS; instead, the CTO is more concerned about the services that are driving costs and why those services are incurring those costs. For a developer, however, the focus is on knowing the specific instance IDs so they can examine those instances, understand how they are being used, and determine what applications are deployed on them. This enables developers to perform optimal deployment and scaling of those resources.
What needs improvement?
I think Amnic - Cloud Cost Observability Platform can be improved by adding more agents, although it already has many effective agents for prompting. This could take the platform to another level and enable people to automatically change instance types for certain allowed instances through Amnic - Cloud Cost Observability Platform policies. A new feature they could build is to move toward more agentic loop engineering where the system continuously monitors and reduces costs without requiring human review, though certain policies would need to be in place to control which optimizations are permitted. We would want to ensure that only certain things are optimized and not everything, because if something is critical, we would not want the system to reduce the instance type below a certain threshold due to deployment considerations that could cause problems.
For how long have I used the solution?
My experience with Amnic - Cloud Cost Observability Platform has been approximately one year.
What other advice do I have?
I would rate Amnic - Cloud Cost Observability Platform a nine out of ten.
I chose nine out of ten because there is always room for improvement.
Regarding Amnic - Cloud Cost Observability Platform's AI capabilities, I believe it is secure because it only has read permissions, so it is not a significant concern. We can definitely rotate the secrets when required.
Regarding Amnic - Cloud Cost Observability Platform's AI capabilities, I find it quite accurate, with 99.5% accuracy in its output.
My advice to others considering Amnic - Cloud Cost Observability Platform is that it is a great product that definitely helps with anomaly detection and root cause analysis, which are very critical when you encounter a significant cost increase and need to provide an explanation.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
reviewer2867937
Cost visibility has transformed how our teams optimize workloads and reduce cloud expenses
Reviewed on Jul 03, 2026
Review provided by PeerSpot
What is our primary use case?
In my previous organization, we had an EKS cluster where many workloads were running, and some of the workloads were not being properly utilized due to scheduling issues. We wanted to leverage that to cut costs, and Amnic - Cloud Cost Observability Platform helped significantly in this area.
Cost saving is one major benefit, and time savings are another because redevelopment did not happen. Developers started utilizing the workloads properly, which saved costs and time in both ways.
There was an instance where people were looking to grow the team for this. Once Amnic - Cloud Cost Observability Platform was involved, a lot of money was saved on resources and other aspects.
What is most valuable?
Amnic - Cloud Cost Observability Platform is a cost observability platform where data observability and log platforms are different, but it proved helpful for my use case in my previous organization, though it is not applicable to my current situation.
Amnic - Cloud Cost Observability Platform offers many features, but one of the good aspects I appreciate is that you can connect to any cloud-based solutions without leaving your footprint or compromising security. This is a really cool feature.
When tools come with their own data agents, we prefer not to get into agents being installed in our environment and figuring out what is working or not working. Amnic - Cloud Cost Observability Platform does not work that way. The team was initially hesitant, but it worked effectively because they only needed a configuration for it. This was one of the cool features.
People have started looking into data observability in recent times. When Amnic - Cloud Cost Observability Platform arrived with the cost observability platform features, it had really cool capabilities, and being on the technical side, it really helped most of the team.
What needs improvement?
Over the last year, Amnic - Cloud Cost Observability Platform might have made many changes, but one thing I identified is that if I am not really used to workloads for different kinds of tech stacks, and new technologies come, it would be helpful if Amnic - Cloud Cost Observability Platform provides those feature evolutions or comparable parity.
Amnic - Cloud Cost Observability Platform's governance and security are really good at this point in time, but with the AI world, things may change drastically. However, as of now, it is good.
Regarding Amnic - Cloud Cost Observability Platform's AI capabilities, any AI tools will rely on past data presentations and prospects, so I would say there is about ninety-five to ninety-nine percent reliability, but manual intervention and checks still need to be there.
What do I think about the stability of the solution?
Amnic - Cloud Cost Observability Platform is stable.
What do I think about the scalability of the solution?
Amnic - Cloud Cost Observability Platform's scalability is a tough question to answer, but for our use case, it was really good, so I would say it is better and good.
How are customer service and support?
The customer support from Amnic - Cloud Cost Observability Platform was really nice.
Which solution did I use previously and why did I switch?
We have not used any other solutions before Amnic - Cloud Cost Observability Platform.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup costs, and licensing has been really good with a TAM involved, and it was a really good experience when we were introduced. Overall, the team was very supportive.
Which other solutions did I evaluate?
I did not evaluate other options before choosing Amnic - Cloud Cost Observability Platform.
What other advice do I have?
The team was very helpful and guided us on how to leverage the tool, and it was pretty good.
Amnic - Cloud Cost Observability Platform is deployed in the on-premises cloud in my organization.
If you are figuring out how your resource costs can be saved through real-time basis analysis, Amnic - Cloud Cost Observability Platform is a really good tool. However, if your workloads are frequent, it may not be needed.
Amnic - Cloud Cost Observability Platform is a good tool, and companies can leverage it in a better way.
I would rate this review an eight out of ten.