Liten AI

Traditional log analytics tools fall short when diagnosing complex, cross-system issues due to limited context and lack of reasoning. LitenAI addresses these limitations with AI agents that reason, correlate, and explore operational data through a natural interface.LitenAI agents analyze application…

In modern cloud environments, valuable insights are often buried beneath noisy logs and fragmented metrics. At LitenAI, we’re building AI-powered research agents that autonomously explore operational data, uncover meaningful patterns, and surface hidden trends—without human intervention. In this post, we…

In modern cloud-native systems, subtle error patterns hidden in log data can silently erode reliability—eventually leading to major outages. At LitenAI, we’ve built an intelligent Root Cause Agent that automates the analysis of such issues using natural language prompts, structured…

Among the many emerging capabilities of large language models (LLMs), one of the most powerful is their ability to translate natural language into structured actions via API calls. This concept is formalized as “tools” in the OpenAI API. Model Context…

Our customers often spend significant time cleaning incoming raw data before it can be ingested into clean, structured tables. With LitenAI, these tasks can be performed simply by using natural language prompts. The agent reads the files, removes or modifies…

In this use case, the customer owns an expensive MRI machine that requires regular servicing or repairs. LitenAI assists technicians through a conversational interface, providing expert information sourced from ingested manuals and log data. By consolidating all data into LitenAI…

LitenAI supports uploading packet files in PCAP format, storing all packets in its Smart Lake. For demonstration, a table named pcap has been created in the LogReason Smart Lake. It can ingest large volumes of packet data for analysis. While…

Introduction Contact us to get the latest docker image.All data is local and accessible only to the user. LitenAI does not collect any data from user. Installation Steps Prepare Your Environment Load the Docker Image docker load < litenai.<version>.tar.gz docker image…

At many companies, resolving customer issues can be a time-consuming process. Delays often arise from waiting for responses or scheduling debugging sessions with experts. This impacts customer service level agreements and frustrates both support engineers and customers. LitenAI is an…