Everything you need to know about Asama

Asama is an AI Infrastructure Engineer that helps the infra & ops team to detect issues in their infrastructure and remediate issues using Agentic AI, which Plans → Codes → Tests → Deploys to solve the detected issue.

Asama is designed for system engineers, hardware engineers, data center engineers, site-ops teams and infra ops & engineering teams who want to debug and resolve issues across GPU/storage/compute servers and network switches.

Click on the "Talk to Founders" button and one of the founders will work with you until you see the value of the product.

Yes, a free trial is available — as a first step, you can book a demo by clicking the "Talk to Founders" button.

Our agentic workflow uses large language models (LLMs) to create multi-step workflows and collaborate with human experts to resolve an issue. Once the problem is detected, our AI agents Plan → Code → Test → Deploy the fix.

Asama's Copilot is an NLP-powered assistant that lets you interact with your infrastructure in English. It shows what's wrong, where, and how to fix it — no dashboards flipping.

Yes, Asama provides a dual-layer approach to hardware health through proactive monitoring and predictive symptom analysis. Real-Time Detection: Asama continuously monitors system logs and telemetry data (such as CPU thermal levels, disk I/O errors, and power fluctuations) and triggers an immediate alert if a component begins to fail or underperform. Predictive Symptom Analysis: our AI identifies anomalies, such as irregular memory usage patterns or latency spikes, that often precede physical failure — letting you address issues before they lead to unexpected downtime.

Yes. Asama is specifically built to maintain a "single source of truth" across diverse, multi-vendor environments. Because heterogeneous infrastructure often suffers from fragmented management tools, Asama provides a unified layer to catch discrepancies that traditional tools might miss.

Yes. For network switches, Asama gives port-level telemetry — tracking metrics like packet loss, CRC errors (indicating bad cables/optics), and unexpected link flaps — and can identify congestion points or misconfigured VLANs before they escalate into network-wide outages. For storage appliances, Asama tracks disk wear levels, NVMe/SSD endurance, and controller latencies, alerting you to "slow-drain" issues where a single failing drive or degraded RAID array might be bottlenecking your entire compute cluster.

Yes. Asama provides continuous vulnerability management by mapping your live hardware inventory against global threat intelligence. While traditional scanners often stop at the operating system level, Asama digs deeper into the hardware and firmware layers.

Yes. You can review a plan and then edit or skip a step. This change is often taken as feedback and added to the context so that our model learns over time.

Yes, we support canary deployment and any other deployment strategy that your organization follows.

Yes. Asama is designed to be "policy-aware," meaning it treats your specific enterprise standards as mandatory constraints for every plan it generates.

Yes. Asama natively supports agentic workflows for OpenStack, allowing it to orchestrate the entire server maintenance lifecycle without manual intervention.

Yes. Asama is fully integrated with the Kubernetes Eviction API, ensuring that all automated remediation actions strictly adhere to your defined Pod Disruption Budgets.

Asama is built with fail-safe mechanisms that prevent cascading issues and ensure human oversight when uncertainty arises. If a step does not achieve the desired outcome, the Asama agent immediately halts the workflow and ingests real-time signals — including system logs, telemetry spikes, and error codes — to understand why the failure occurred. If the failure puts the system in an unstable state, Asama can execute a pre-planned rollback to the last known healthy configuration, then "re-reason" through the problem to generate a new, corrected plan that accounts for the obstacle it just encountered. Asama may also prompt the human expert for more context or specific inputs.

Yes. Asama provides a unified observability and diagnostic layer for both NVIDIA (CUDA/Data Center GPU Manager) and AMD (ROCm/Instinct) ecosystems, monitoring accelerator health throughout their entire lifecycle — from initial "Day 1" burn-in to "Day N" production monitoring. While workloads are running, Asama continuously tracks per-second GPU utilization, VRAM ECC error rates, power draw fluctuations, and thermal throttling events as passive checks in production. Based on the workload schedule, Asama also triggers active "stress tests" and deep hardware diagnostics — such as NVLink/Infinity Fabric interconnect benchmarks and PCIe bandwidth tests — as maintenance-mode active checks, ensuring every card in a cluster performs identically before joining a distributed training run.

We have various plans based on your infrastructure. Refer to our pricing page.

No, we don't have a free plan, but we can sign you up for a POC where we'll show the value of our AI Infrastructure Engineer.

Asama collects data from customers' infrastructure and stores it in data centres in the USA and the EU to support region-specific data localisation.

Yes. Asama supports SSO and SAML-based authentication for enterprise customers.

Yes. You can permanently delete your content and associated data at any time from your workspace settings.

Yes. Asama offers personalized onboarding support to help you get started quickly and make the most out of the platform, available to all enterprise plan users.

Yes. You can reach out to our support team anytime via email at support@asama.ai or via live chat, available directly within the platform after login. We'll help with any questions related to bugs, issues, or troubleshooting.

Yes. Asama offers product training sessions, deep dives, and custom walkthroughs for teams, available to enterprise plan users.