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Who We Are

Elite AI Consulting
Platform

We at VIRTUALWAYS are at the forefront of innovation in artificial intelligence, dedicated to transforming industries, businesses and enhancing human experiences through cutting-edge technologies.

With a deep-rooted commitment to pushing the boundaries of what's possible in AI, we specialize in harnessing the power of machine learning, natural language processing, and computer vision along with a full suite of web and software development experience to deliver intelligent solutions to solve complex modern-day problems.

We cater to diverse sectors worldwide, delivering tailored solutions that optimize processes, drive growth, and enhance customer experiences. Our team brings 4+ years of hands-on expertise spanning ML model development, MLOps, data engineering, and real-time system design.


Machine Learning & AI95%
Full-Stack Development90%
Data Science & Analytics88%
Cloud & DevOps85%
Blockchain75%
🎯 Mission
To empower industries and enhance human experiences by pioneering intelligent solutions with cutting-edge AI technologies.
👁 Vision
Redefine the future of innovation by transforming complex challenges into opportunities through advanced ML, NLP, and computer vision.
⚡ Expertise
4+ years of ML engineering. Production systems at scale — from radar-based fall detection to post recommendation engines to NSFW classifiers.
🤝 Approach
We operate as embedded technical partners. We lead teams, architect systems, and own end-to-end delivery from POC to production.
🏆 Track Record
26+ projects delivered. 12 happy clients. A 40% performance boost achieved on search and profile-ranking systems through microservice-based scaling.

Our Team

The People Behind
the Work

TR
Trikal
CEO & Founder

Visionary leader driving VIRTUALWAYS' mission to pioneer intelligent solutions and transform industries globally through cutting-edge AI technologies.

LeadershipAI StrategyVision
VB
Vikral Bhagor
CTO

4+ years in ML model development, MLOps, data engineering, and real-time system design. Led teams of 10+ engineers across ML and backend projects at scale.

MLOpsPySparkKafkaDVC

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