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unSkript

unSkript offers an Agentic-AI platform that automates root cause analysis and issue remediation for IT support, significantly reducing mean time to resolution by 40% and improving first-call resolution rates by 30%. By proactively monitoring system health and leveraging generative AI for real-time troubleshooting, it minimizes downtime and enhances operational efficiency for managed service providers.

Los Altos Hills, United StatesFounded 20208700+ followers
Updated 4 months ago

Funding

$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Managed service providers (MSPs) often face challenges in rapidly identifying the root cause of IT issues and implementing effective remediation strategies, leading to prolonged downtime and increased operational costs. Reactive approaches to IT support result in delayed issue detection, impacting service level agreements (SLAs) and customer satisfaction.

Solution

unSkript offers an Agentic-AI platform designed to automate root cause analysis (RCA) and issue remediation for IT support, enabling MSPs to proactively maintain system health and minimize downtime. The platform leverages generative AI to correlate signals from health checks and diagnostics, identify root causes, and suggest executable remediation steps. By continuously learning from historical fixes and user interactions, the AI improves its ability to resolve incidents, allowing IT teams to focus on strategic tasks. The platform's interactive interface provides a human-in-the-loop option, ensuring control over the execution of fixes.

Target Audience

The primary target audience consists of managed service providers (MSPs) seeking to improve their SLA levels, reduce support costs, and enhance operational efficiency through AI-powered automation.

Features

  • Proactive, always-on health checks to detect issues before they escalate into incidents
  • Agentic AI-driven automated RCA that correlates diverse signals from health checks and failure diagnostics
  • Generative AI-based remediation providing executable steps to fix problems
  • Interactive human-in-the-loop interface for controlled execution of fixes
  • Continuous learning from historical fixes to improve AI performance over time
  • Real-time troubleshooting and remediation powered by generative AI
This profile is AI-generated and may contain inaccuracies.