ScienceLogic provides an AI‑driven observability platform that consolidates monitoring of hybrid‑cloud, on‑premise, and network assets into a single data model. The solution uses machine‑learning to detect anomalies, generate root‑cause hypotheses, and trigger low‑code automated remediation, while offering compliance tracking and analytics dashboards. It integrates with over 500 existing tools via pre‑built connectors to give enterprises a unified view and reduce MTTR.
Funding
$21.2M 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.
Founders
Product
Problem
Enterprises and service providers often operate sprawling hybrid IT environments that require dozens of disparate monitoring, networking, and analytics tools. The resulting tool sprawl forces manual data correlation and root‑cause analysis, leading to high mean‑time‑to‑repair (MTTR) and inefficient IT workflows. Limited visibility across cloud, on‑premise, and network layers hampers proactive incident prevention and compliance reporting.
Solution
ScienceLogic delivers an AI‑driven observability platform that unifies hybrid‑cloud, application, and network monitoring into a single data model. The platform continuously ingests telemetry, applies machine‑learning algorithms to detect anomalies, and automatically generates root‑cause hypotheses. Integrated low‑code workflow automation executes remediation steps without human intervention, reducing MTTR and operational overhead. Built‑in compliance modules capture configuration changes for audit readiness, while a centralized dashboard provides real‑time service health, performance trends, and actionable insights for IT teams. The solution also offers a library of pre‑built integrations to stream data from existing tools, enabling rapid consolidation and a single source of truth.
Target Audience
The primary customers are large enterprise IT operations groups, managed service providers, and global system integrators that need consolidated observability, automated incident response, and compliance across complex hybrid environments. Secondary users include government agencies and financial or communications service providers with stringent regulatory and performance requirements.
Features
- Skylar One: real‑time unified UI that aggregates metrics, logs, and events from hybrid‑cloud, on‑premise, and network assets.
- Skylar AI: machine‑learning engine that correlates multi‑domain telemetry to surface anomalies and suggest root‑cause explanations.
- Skylar Automation: low‑code/no‑code workflow builder that triggers remediation scripts, ticket creation, or scaling actions automatically.
- Skylar Compliance: continuous monitoring, versioning, and backup of network configurations for audit trails and rapid rollback.
- Skylar Analytics & Advisor: advanced analytics dashboards and prescriptive recommendations for capacity planning and cost optimization.
- Extensive integrations library: over 500 pre‑built connectors for popular cloud services, SaaS applications, and legacy monitoring tools.
- API‑first architecture with RESTful endpoints for custom data ingestion and export to ITSM or CMDB systems.