• Faster Time-to-Resolution: Reduce SLA times and quickly solve customer issues, even complex ones that typically require engineering intervention.


• Operational Efficiency: Free your engineers to focus on development, not support. LitenAI empowers customer support to operate independently, increasing productivity.


• Scalable Solutions: Handle growing support needs without additional headcount. LitenAI scales with your operations, ensuring efficiency at every stage.


• Proactive Issue Detection: LitenAI identifies issues before they escalate, providing consistent and high-quality support.


• Knowledge Capture and Reuse: Integrate customer documents, logs, and metrics to create a comprehensive knowledge base that grows more efficient with use.


• Better Team Morale: Empower your support and engineering teams to do their best work, boosting morale and collaboration.

LitenAI is a Silicon Valley startup developing an advanced multi-agent platform that automates the observation, analysis, and visualization of petabyte-scale data. The platform's data lake ingests structured data, logs, and metrics, enabling rapid big data searches. It also imports domain-specific documents in various formats, including text, PDFs, HTML, and media files, to build a comprehensive knowledge base. This resource empowers LitenAI’s agents to generate unique insights by combining structured data with securely integrated domain expertise. The company’s founders bring extensive experience in AI and data applications, with a proven track record in delivering large-scale distributed software solutions.

CORE FEATURES

• LitenAI platform enables 100x efficiency by automating engineering support and debug using natural language interface on the public cloud or on-premise.


• LitenAI agents are domain trained with customer specific actions and tools.


• LitenAI data lake integrates unstructured knowledge from customer documents with structured logs and data for an accelerated petabyte scale storage.


• It can be used on a standalone installation or, within your Jupyter notebooks or, can be accessed from a Slack chat using Liten bots.


• Its cloud engineering domain GenAI platforms are domain trained, use best in class data and AI tools. As customers use the tool, it learns to become more efficient.