Logiq.ai provides a unified data platform that automates data collection, management, and observability for engineering teams, enabling them to gain actionable insights from complex workflows. By centralizing operational data and streamlining compliance processes, Logiq.ai reduces costs and enhances data governance across various applications.
Funding
$1.8M 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.
LCFounders
Product
Problem
Engineering teams often struggle with fragmented data collection, complex data management, and limited observability across their applications and infrastructure. This leads to difficulties in gaining actionable insights, increased operational costs, and challenges in maintaining data governance and compliance.
Solution
Apica's Ascent platform provides a unified solution for intelligent data management, offering a centralized platform to collect, control, store, and observe operational data. The platform simplifies data collection through automated agent management, optimizes data pipelines with AI/ML-powered workflow management, and provides limitless storage with indexing for machine data. Apica enables real-time insights through unified monitoring of logs, metrics, events, and traces (MELT), facilitating faster remediation, improved data governance, and significant cost savings.
Target Audience
Apica's primary customers are engineering teams, IT operations, and DevOps professionals seeking to streamline data management, improve observability, and reduce costs associated with complex application and infrastructure environments.
Features
- **Fleet Management:** Automates and manages data collection agents for dynamic scalability.
- **Flow:** Simplifies pipeline control with AI and ML to manage complex data workflows.
- **Lake:** Centralized indexing and storage of machine data.
- **Observe:** Unified MELT data monitoring with dashboarding and integration of synthetic and real data.
- **Telemetry Pipeline:** Collects, optimizes, stores, transforms, routes, and replays observability data.
- **Data Convergence:** Real-time access to converged data for operational and analytical needs.
- **Compliance:** 1-Click compliance and governance with object storage retention and indexing.
- **AIOps:** Applies machine learning and natural language processing to observability data for anomaly detection and root cause analysis.
- **API Observability:** Analyzes API flows, troubleshoots issues, and understands API usage.