Managed Data Analytics Platforms
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Our Managed Data Analytics Platforms simplify, optimize, and scale your data platform, product, and application ecosystem by providing fully managed services. From platform operations to data pipelines and AI/ML environments, we ensure platform uptime, secure data movement, and optimized performance, allowing your teams to be most productive.
We provide comprehensive user administration, including onboarding new users, managing permissions, and overseeing license allocation to ensure proper governance and maximize usage. By developing utilization reports, we help you identify inefficiencies, optimize license consumption, and maximize ROI across your data environment. With timely upgrades and updates, we keep your data infrastructure current, secure, and resilient. This ensures compliance, high availability, and uninterrupted operations while preventing costly downtime.
Our Managed Services are designed for operational excellence, reducing complexity, enhancing security, and unlocking data-driven growth opportunities.
.Benefits
User & License Management
Govern user access, optimize permissions, and maximize platform license utilization.
High Availability & Security
Ensure consistent upgrades, infrastructure security, and uninterrupted data platform uptime.
Operational Efficiency
Automate workflows for optimal performance, real-time insights, and AI-driven innovation.
.Solutions
VSERVE
Revolutionize AI model development with scalable, accurate data enrichment workflows powered by automation for various types of data sets.
IronCloud
Strengthen IT security and compliance across all attack surfaces and industries with centralized management for operational efficiency.
CloudAssist
Centralize and simplify multi-cloud operations with real-time monitoring, planning, budgeting, cost optimization, and automated workflows.
.Client Success
The Integration Challenge Making Sense of Fragmented Cybersecurity Solutions
With an ever-evolving cyber threat landscape, organizations are juggling a growing number of cybersecurity tools and specialized teams to manage them. From basic endpoint detection
The Evolution of Supervised Learning From Data Labeling to Annotation for RLHF
We humans have experienced forms of supervised learning throughout our lives, starting from hearing “good job” from our parents to receiving “employee of the month” awards at work.
The Evolution of Backup From Tape Libraries to AI Innovation Hubs
In the cloud-native era, backup technology has come a long way. Traditional players like Legato Networker (for those who remember) and Veritas NetBackup