Drive sustained impact from your applications with an end-to-end approach to XOps
Get StartedDrive sustained impact from your applications with an end-to-end approach to XOps
Drive sustained impact from your applications with an end-to-end approach to XOps
The plethora of Ops disciplines in the market have left businesses reeling under the pressure of managing all of them at once. Bringing all these Ops practices - BizOps, DevSecOps, DataOps, MLOps, AIOps and CloudOps, under one umbrella is a dream. But where there are expectations of cost optimization, on-demand scaling and elastic applications, they are met with the reality of clunky code, too many APIs, inconsistent integration and standalone reporting. This is because most support vendors lack the cross-functional skill set and integration models to handle all of them at once. You need a solid XOps orchestration that goes beyond the traditional 'keep the lights on' approach and works end-to-end to support and derive value from your business assets. Build robust applications and products that continue to provide value over time by embedding support best practices in the development phase itself. Harness the power of automation to drive a proactive maintenance practice that saves costs and time in the long run.
You need a solid XOps solution that goes beyond the traditional 'keep the lights on' approach and works end-to-end to support and derive value from your business assets. Build robust applications and products that continue to provide value over time by embedding AI support solutions in the development phase itself. Harness the power of automation to drive a proactive maintenance practice that saves costs and time in the long run.
The modern supply chain, to a large extent, makes extensive use of advanced technologies to transform its existing processes. The problem arises when it is time to operationalize at scale. Embrace digital supply chain analytics transformation that facilitates cross-functional/cross-company orchestration and improves access to information, streamlines decision-making, and provides actionable insights
Navigate your cloud journey to derive value faster and cost-effectively with our DataOps and ModelOps best practices. Plan, build, and maintain your technology infrastructure to action out insights with our expertise in multi-cloud decision analysis, lift-and-shift implementation, and asset maintenance & support.
Leverage our automation and AI solutions to accelerate insight generation by managing your infrastructure, from optimizing repetitive processes, continuous application health checks to pipeline management, and log analytics, so you can resolve issues quickly.
Integrate our end-to-end ML model management accelerator to enable MLOps at scale. Operationalize ML models at unprecedented speed, access robust tools and capabilities for seamless pluggability, and proactively maintain the MLOps infrastructure for frictionless last-mile delivery.
Cross-skilled team of operations engineers, data scientists, cloud engineers, data engineers, system administrators, and web developers
AI-first approach to XOps leveraging automation to monitor, maintain, optimize, and modernize technology assets
Proactive issue prevention and anomaly detection to reduce tickets raised by 60%
See how we helped a world-leading CPG company achieve end-to-end improvements.
From improved compliance with security standards in CloudOps and identifying patterns to minimize repeat issues in AIOps, to using accelerators in MLOps and DataOps and enhancements across applications in DevSecOps and BizOps, we were able to deliver a range of benefits.
40% personnel cost savings
60% reduction in manual effort using MLWorks accelerator
60% reduction in production deployment time
Find out how we helped a leading fast-food company build an automated web scrapping platform to generate prescriptive recommendations for action based on competitor moves.
Using unified visibility for competitor prices, interactive visualization and automation, we helped them derive multiple benefits.
Increased competitor price visibility by 15X
Reaction time to competitor action reduced from 4 months to 24 hours
Daily process run time reduced from 10 hours to 2 hours
How we unlock business value from our services
XOps: The right approach for production business applications
BizOps – Ensure resilient and stable business applications
MLOps: A set of essential practices for scaling ML-powered applications
