VizAI

Designing Autonomous Dashboards with Agentic AI

Eliminate manual wireframing and accelerate dashboard delivery

VizAI is an AI-powered dashboard wireframing platform that transforms plain-language business requirements into interactive, tool-ready BI dashboard designs within minutes. Each design is validated, ensuring high-quality, consistent dashboards while eliminating manual wireframing and reducing rework.

Transform your design process

Designing a dashboard manually takes hours. Every time the requirements change, your team has to start over. Every BI tool needs its own version. And different people build it in different ways, so nothing matches. This results in slow projects and a lot of repeated work.

VizAI makes it simple. Tell it what you need in plain language, and it builds a working, interactive dashboard in minutes. Each one is consistent, checked for quality and ready to show your stakeholders.

Transform your design process

Designing a dashboard manually takes hours. Every time the requirements change, your team has to start over. Every BI tool needs its own version. And different people build it in different ways, so nothing matches. This results in slow projects and a lot of repeated work.

VizAI makes it simple. Tell it what you need in plain language, and it builds a working, interactive dashboard in minutes. Each one is consistent, checked for quality and ready to show your stakeholders.

From idea to dashboard in three simple steps

Designed for how BI teams actually work

Multi-Tool Support

VizAI builds dashboards using the design patterns of Power BI, Tableau, and Looker.

Built-In Quality Scoring

Every dashboard receives a score, making design quality quantifiable.

Production-Ready Code

Get real, usable code (HTML, CSS, JS, React); not just a static picture.

Save and Reuse

Save any dashboard and come back to it later with all its details intact.

What you gain with VizAI

Higher Design Quality

Highger
Quality Design

Consistent
output

Quicker
Stakeholder
Alignment

Fully
Automated
Wireframing

Faster
Development

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 speed up your dashboard design?

See how VizAI turns your requirements into working dashboards.

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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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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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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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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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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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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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