Application & Platform Engineering
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Modern businesses demand resilient and innovative platforms that deliver exceptional performance while meeting evolving business needs. At VentureSoft, our Application and Platform Engineering services combine software development and infrastructure expertise to build and maintain scalable, secure, and efficient platforms that enable the innovative business services.
Whether you start with product concept or an application challenge, we have established, time tested ways to bring PDLC (product development life cycle) and SDLC (software development life cycle) to your environment that focuses on creating reusable tools, frameworks and infrastructure-as-code solutions to streamline workflows, developer productivity, and ensure optimal application performance for your business.
Finally, with Application Portfolio Rationalization, we streamline your IT ecosystem by eliminating redundancies, reducing costs, and aligning applications with strategic objectives, creating a balanced and optimized environment for success.
.Services
End-to-end product lifecycle engineering for scalable and futureready software products.
Custom, iterative development with vendor-neutral technologies tailored to business needs.
Transform legacy systems for scalability, efficiency, and advanced use cases.
Streamline applications for cost savings and strategic alignment.
.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
