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

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

Higher
adoption

Faster
delivery

Success Stories

Campaign Optimization with Algorithmic Bidding

A large company with $100M+ in PPC spending across 500M+ keywords was stuck using manual spreadsheets, leaving money on the table. LatentView’s automated bidding platform, powered by machine learning, boosted their net revenue by 20% ($10M+) in the first year by optimizing bids, improving efficiency, and handling their massive data volume.

20%

Surge in net revenue

$10 Million+

Boost in net revenue within first 12 months

Ready to make visual excellence your standard?

See how VizX brings objective scoring to every dashboard you ship.

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Thought Leadership

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.

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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.e

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A Marathon Of Innovation: 4 AI Technologies To Watch In 2025

Some might agree that the AI advancements in 2024 looked like a page from a science fiction novel. Those great strides have set a precedence for something far more pivotal. In 2025, AI will fundamentally alter how you operate, make decisions, and connect with customers. While it is critical to think bigger and act bolder, Venkat Viswanathan emphasizes the importance of sticking to the most elemental principle—achieving meaningful, scalable impact. Read more

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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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Changing How We Think About GenAI in the Boardroom: Navigating Short and Long-Term ROI

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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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.

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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.”

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Ever wondered what goes on behind the scenes when you book a stay at a hotel?

Behind those seamless, perfect-looking screens is a whole system trying to keep up with shifting prices, changing demand, and rising expectations.

In this article published on Hospitality Technology, Kaushik Boruah, Business Head - CPG & Hospitality, LatentView, shares how AI is reshaping the hospitality experience.

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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.

Changing How We Think About GenAI in the Boardroom: Navigating Short and Long-Term ROI

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.

A Marathon Of Innovation: 4 AI Technologies To Watch In 2025

Some might agree that the AI advancements in 2024 looked like a page from a science fiction novel. Those great strides have set a precedence for something far more pivotal. In 2025, AI will fundamentally alter how you operate, make decisions, and connect with customers. While it is critical to think bigger and act bolder, Venkat Viswanathan emphasizes the importance of sticking to the most elemental principle—achieving meaningful, scalable impact.
Read more

Back to the Drawing Board: Building India’s Tech Talent Ecosystem

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.

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