InsightFinder
Financials
Estimates*
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | <1m | 1.1m | 1.4m | 2.7m |
% growth | - | 17 % | 29 % | 100 % |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$500k | Seed | ||
N/A | $225k | Grant | |
N/A | $750k | Grant | |
* | $2.0m | Seed | |
N/A | $500k | Grant | |
$2.0m | Seed | ||
N/A | $725k | Debt | |
$2.0m | Seed | ||
* | $10.0m | Series A | |
Total Funding | AUD27.8m |
Related Content
Recent News about InsightFinder
EditInsightFinder operates in the IT and AI sectors, offering an AI-driven platform designed to optimize system performance for enterprises. The company specializes in proactive incident detection and resolution, leveraging advanced machine learning (ML) and large language models (LLMs) to identify and prioritize system anomalies before they escalate into significant issues. InsightFinder serves a diverse range of clients, including large enterprises and IT operations teams, who require robust solutions for maintaining system health and efficiency.
The market InsightFinder operates in is highly competitive, focusing on IT operations, DevSecOps (Development, Security, and Operations), and AI observability. The company's business model revolves around a subscription-based service, where clients pay for access to the platform's features and capabilities. This model ensures a steady revenue stream while allowing clients to benefit from continuous updates and improvements to the platform.
InsightFinder makes money by offering tiered pricing plans that cater to different levels of service needs, from basic monitoring to comprehensive, AI-driven incident management solutions. The company also integrates with leading observability solutions and open-source monitoring tools, providing a versatile and comprehensive approach to IT system management.
Keywords: AI-driven, IT optimization, incident detection, machine learning, large language models, proactive resolution, DevSecOps, system performance, anomaly detection, subscription-based.