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

Prompt
Tell VizAI what you need in plain language. It turns your request into KPIs, visuals, and a layout.

Generate
A multi-agent system builds the dashboard — structure, style, and interactivity — for your chosen BI tool.

Optimize
VizAI checks the design against your requirements, then refines it until it's ready.

Prompt
Tell VizAI what you need in plain language. It turns your request into KPIs, visuals, and a layout.

Generate
A multi-agent system builds the dashboard — structure, style, and interactivity — for your chosen BI tool.

Optimize
VizAI checks the design against your requirements, then refines it until it's ready.

Prompt
Tell VizAI what you need in plain language. It turns your request into KPIs, visuals, and a layout.

Generate
A multi-agent system builds the dashboard — structure, style, and interactivity — for your chosen BI tool.

Optimize
VizAI checks the design against your requirements, then refines it until it's ready.
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
Consistent
output
Quicker Stakeholder Alignment
Quicker
Stakeholder
Alignment
Fully Automated Wireframing
Fully
Automated
Wireframing
Faster Development
Faster
Development
The built-in score keeps every dashboard measured against design best practices.
Every dashboard follows the same standards, so quality holds across teams and projects.
Teams agree sooner by reviewing a working dashboard instead of a static sketch.
Wireframe generation is 100% automated, eliminating hand-built layouts.
VizAI can reduce dashboard development time by 40%.
Success Stories
Campaign Optimization with Algorithmic Bidding
20%
Surge in net revenue
$10 Million+
Ready to speed up your dashboard design?
See how VizAI turns your requirements into working dashboards.
"*" indicates required fields
Thought Leadership
Rajan Sethuraman
Remadevi Thottathil
Venkat Viswananthan
Prasun Velayudhan
Vivek Singh
Boobesh Ramadurai
Parijat Banerjee
Kaushik Boruah
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.
READ MOREBack 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.e
READ MOREA 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
READ MORE3 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.
READ MOREChanging 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.
READ MOREWhat 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.
READ MOREAI 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.”
READ MOREEver 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.
READ MORE
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.