VizX
Elevating Every Dashboard with AI-Driven Design Validation
Make dashboard quality measurable
VizX is an AI-powered design validator tool that scores any dashboard on design quality and interface standards. Upload an image or PDF, and it checks your work against 10 structured UI and UX design principles, then returns an objective score with clear recommendations. No more subjective reviews; just visual excellence you can easily measure.
Take the subjectivity out of design review
Manual design reviews are often subjective, inconsistent, and time-consuming, leading
to expensive rework and delayed timelines. VizX eliminates these issues. It provides you with objective scores and actionable fixes, ensuring every dashboard is high-quality and usable before delivery.
Take the subjectivity out of design review
Manual design reviews are often subjective, inconsistent, and time-consuming, leading
to expensive rework and delayed timelines. VizX eliminates these issues. It provides you with objective scores and actionable fixes, ensuring every dashboard is high-quality and usable before delivery.
Validate any dashboard in three simple steps
Upload
Submit any dashboard as an image or PDF, with the business context and domain that frames the review.
Evaluate
VizX benchmarks the dashboard against the best visualisation design practices and generates an objective score.
Improve
Get specific, actionable recommendations to refine and elevate the dashboard before final delivery.
Upload
Submit any dashboard as an image or PDF, with the business context and domain that frames the review.
Evaluate
VizX benchmarks the dashboard against the best visualisation design practices and generates an objective score.
Improve
Get specific, actionable recommendations to refine and elevate the dashboard before final delivery.
Upload
Submit any dashboard as an image or PDF, with the business context and domain that frames the review.
Evaluate
VizX benchmarks the dashboard against the best visualisation design practices and generates an objective score.
Improve
Get specific, actionable recommendations to refine and elevate the dashboard before final delivery.
Built for enterprise-grade validation
Multi-Format Support
Evaluate any dashboard submitted as a high-resolution image or multi-page PDF.
AI-Generated Insights
Pinpoint specific issues in layout, hierarchy, and accessibility, with clear feedback developers can act on.
Objective Scoring
Score every dashboard against the same 10-principle framework, so the result reflects the work, not the reviewer.
Zero-Retention Privacy
Uploaded dashboards are deleted automatically after processing, ensuring integrity.
What you gain with VizX
Greater confidence
Greater confidence
Consistent standards
Consistent standards
Higher adoption
Higher adoption
Faster delivery
Faster delivery
Build stakeholder trust in delivered insights with a measurable design quality.
Hold every dashboard to the same delivery standards, across every team and project.
Double user adoption with dashboards that are intuitive and easy to act on.
Cut manual design review time by up to 80%, freeing analysts for higher-value work.
Success Stories
Campaign Optimization with Algorithmic Bidding
20%
Surge in net revenue
$10 Million+
Ready to make visual excellence your standard?
See how VizX brings objective scoring to every dashboard you ship.
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Thought Leadership
Rajan Sethuraman
Remadevi Thottathil
Venkat Viswananthan
Prasun Velayudhan
Vivek Singh
Boobesh Ramadurai
Parijat Banerjee
Kaushik Boruah
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The New Shift of Global Capability Centers to Innovation Hubs
Global Capability Centers (GCCs) have been an essential part of corporate strategy for decades, offering access to global talent pools that can enhance a company’s organizational capabilities and provide critical support to sustain periods of rapid growth. Traditionally, these centers were designed as a cost-saving option for companies with large-scale operational needs, serving as offshore or nearshore hubs for many services such as finance, IT, and customer service.
AI is already in 84% of US health insurance firms, so why is consumer trust still falling?
While the tech is present, the strategy often isn’t.
In his recent Forbes article, Parijat Banerjee, Business Head – Financial Services, shares how insurers can use AI and analytics to reduce fraud, personalize experiences, and support value-based care, without turning AI into a “black box.”
What if GenAI doesn’t need a funnel at all?
It’s a bold question, but one that is becoming increasingly relevant. In a recent MarketingProfs article, Boobesh R., Vice President, LatentView Analytics, explains how autonomous AI agents are dismantling traditional, staged funnels and replacing them with dynamic, agent-led journeys.
3 Core Principles to Drive ROI from GenAI Deployments
Gartner predicts that by 2025, at least 30% of GenAI projects will be abandoned mainly due to poor data quality, and failure to deliver business value.
However, another Gartner survey highlights that successful GenAI deployments have led to impressive outcomes: 15.8% revenue growth, 15.2% cost savings, and 22.6% productivity gains. So, what sets apart the companies that succeed with GenAI from those that fall short?
Vivek Singh, Growth Head – Hi-Tech, outlines three key principles to help businesses evaluate, select, and enable GenAI use cases—ensuring risk management, cost control, and transformative results.
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The hype around GenAI is undeniable, with companies rapidly adopting it. But the question on every boardroom’s mind is: when will we see a return on our investment? The answer is more nuanced than simply calculating costs.
Firstly, we must reframe how we perceive ROI in the context of AI/GenAI. While the allure of immediate, transformative results is strong, these technologies are still in their early stages.
Read this article where Prasun Velayudhan, Associate Director at LatentView Analytics, shares insights on what you must focus on for a successful AI/GenAI transformation.
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Read more
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There is high demand and higher supply, yet the two don’t meet for the Indian tech industry. Last year, TCS reported 80,000 vacancies, but the majority of the 1.5 lakh engineering graduates who pass out annually did not suit the job. Similar is the contrast when it comes to the economics of the sector. While the revenue of IT companies has recorded steady growth, entry-level salaries have not kept pace with compensation starting at Rs4 lakh per annum.