Driving AI and ML driven automated IT operational decisions at scale across all domains of IT, to reduce tickets, resolve faster, predict outages, improve productivity and cut costs.
Modern day IT environments are becoming dynamic, interconnected and complex.
Data explosion, siloed tools and manual IT operational decisions might be holding you back.Not able to handle and
process fast growing data
Customers care about outcomes & SLAs
(aggregated intelligence) instead of individual metrics
Usage of functional specific tools led to tool
sprawl and management overhead
Lack of automated incident diagnostics and
contextual insights causing long resolution times
Customers have to deal with growing
alerts by adding more people.
Aging infrastructure, out-of-support assets, under or over utilized, non-compliant assets increase risk
Automated data preparation and onboarding, native asset topology intelligence, AI/ML event correlations and predictions, single pane Incident triaging are some of the key innovations that deliver a whole new intelligent and upgrade to your IT
Multiple algorithmic methods to automate data discovery & gap analysis
Built in full stack discovery & mappings for automated alert enrichment
ML driven symptom and stack based correlations provides very targeted & faster noise reduction
Provides single pane of triaging based on on-demand metrics, logs, changes & anomalies
Built in ML pipelines to do anomalies & predictive analytics