AIMS

AIMS

AIOps performance monitoring & analytics for integrations | AIMS.

  • Edit
Get premium to view all results
DateInvestorsAmountRound
-investor investor

€0.0

round
N/A

$2.5m

Late VC
Total Funding000k

Financials

Estimates*

Get premium to view all results
Edit
Revenues, earnings & profits over time
EUR2016201720182019202020212022
Revenues0000000000000000000000000000
% growth-34 %(82 %)--2108 %(19 %)
EBITDA0000000000000000000000000000
% EBITDA margin(118 %)(1 %)111 %-91 %--
Profit0000000000000000000000000000
% profit margin(117 %)(58 %)(63 %)-51 %(270 %)(595 %)
EV0000000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget0000000000000000000000000000

Source: Company filings or news article

Notes (0)
More about AIMS
Made with AI
Edit

AIMS Innovation AS, operating as aims.ai, is a specialized provider in the Artificial Intelligence for IT Operations (AIOps) sector. The company was established in 2011 by founder Marius Wergeland Storsten, who currently serves as the Chief Technology Officer, with Ivar Sagemo leading as CEO. Based in Oslo, Norway, the firm has remained unfunded since its inception and operates as a private entity.

The core of AIMS's business is a cloud-based Software as a Service (SaaS) platform designed to automate and simplify the monitoring of complex, Microsoft-centric enterprise IT environments. The platform serves a clientele ranging from small businesses to large corporations, with named customers including Brinks, Ossur, and de Goudse. Revenue is generated through subscriptions to its service, with reported annual revenue of approximately 2.62 million Norwegian Krone as of year-end 2022.

AIMS's technology works by collecting vast amounts of performance metrics from a client's IT systems, such as Microsoft SQL, Azure services, and Windows Servers. Utilizing machine learning, the platform establishes a detailed 'digital fingerprint' of the system's normal operational behavior. It then uses this baseline to automatically detect and predict anomalies and performance bottlenecks. This process enables IT teams to identify the root cause of issues swiftly, often before they impact end-users, thereby preventing system downtime and reducing time spent on manual troubleshooting. The service provides tailored analytics, reports, and dashboards for different organizational roles, including developers, IT operations staff, and business line owners.

Keywords: AIOps, IT operations management, performance monitoring, anomaly detection, root cause analysis, Microsoft Azure, SQL monitoring, cloud analytics, SaaS, IT automation, infrastructure monitoring, predictive analytics, enterprise software, system performance, bottleneck prevention, downtime reduction, machine learning, business intelligence, IT efficiency, Oslo startup

Analytics
Unlock the full power of analytics with a premium account
Track company size and historic growth
Track team composition and strength
Track website visits and app downloads

Tech stack

Group
Tech stackLearn more about the technologies and tools that this company uses.
Book a Demo