EakLab Leadership Team | AI, Growth & Technology Experts

Meet the Leadership Behind EakLab

Great technology starts with a clear understanding of people, businesses, and the problems they are trying to solve. At EakLab, leadership is focused on bringing together business growth, engineering, data, and artificial intelligence to help organizations build practical and scalable digital capabilities.

EakLab was founded in 2017 by Poonam Yadav and is headquartered in Gurgaon (Gurugram), Haryana, India. Under this entrepreneurial direction, EakLab has evolved from digital and technology-focused capabilities into a broader business and technology partner.

Today, EakLab’s leadership direction is centered on one core idea:

Growth + Engineering + Data + AI → Business Outcomes

Rather than looking at marketing, technology, data, and AI as completely separate functions, EakLab brings these capabilities together to help businesses grow, build, modernize, and transform.

Poonam Yadav – Founder of EakLab

Poonam Yadav is the Founder of EakLab.

Since founding the company in 2017, her entrepreneurial direction has shaped EakLab’s evolution toward an integrated business and technology model. The company’s development reflects a broader focus on helping businesses adopt digital capabilities, use technology effectively, and increasingly leverage data and artificial intelligence.

The leadership direction behind EakLab is not based on offering technology for technology’s sake. Instead, it is focused on understanding what a business needs and identifying how digital growth, engineering, data, and AI can contribute to those requirements.

As businesses have changed, so has EakLab. Its capabilities have expanded across digital growth, software engineering, data, systems integration, DevOps, and AI. This evolution has created a broader platform for helping organizations address both immediate technology requirements and longer-term transformation opportunities.

Specific professional qualifications, career history, certifications, or individual achievements of Poonam Yadav are not included here because they have not been formally verified in the available company documentation.

Leadership Built Around Business Outcomes

Leadership at EakLab is closely connected to the company’s overall business philosophy.

Modern organizations often face challenges that cross multiple departments. A company may need to generate more qualified leads while improving its website. It may need to develop software while connecting its CRM and ERP systems. It may have large amounts of data but lack reliable analytics. Or it may want to introduce AI but not know where it can create genuine business value.

These challenges cannot always be solved by looking at one capability in isolation.

EakLab’s leadership approach therefore brings together four strategic pillars:

Growth

The Growth pillar focuses on helping organizations improve visibility, customer acquisition, and revenue opportunities. It includes Performance Marketing and Organic Marketing, along with capabilities such as SEO, AEO, GEO, and AI Visibility.

Engineering

The Engineering pillar focuses on building the digital products and technology businesses need. This includes web development, mobile app development, custom software development, ecommerce development, product engineering, and engineering talent.

Data

The Data pillar focuses on creating reliable foundations for analytics and decision-making. Data Analytics, Data Engineering, data pipelines, data integration, business intelligence, dashboards, and reporting are part of this capability.

AI

The AI pillar focuses on practical artificial intelligence adoption. Its capabilities include Generative AI, Agentic AI, AI applications, AI agents, AI assistants, AI copilots, AI automation, AI integrations, and AI transformation.

Together, these pillars provide the foundation for EakLab’s approach to business transformation.

A Cross-Functional Leadership Philosophy

EakLab’s leadership philosophy recognizes that technology decisions should be connected to business priorities.

For example, building a new application is only one part of a larger business objective. The application may need to connect with existing systems, use reliable data, support customer acquisition, and eventually incorporate automation or AI.

That is why EakLab’s broader model connects:

Growth → Data → Engineering → AI → Business Outcomes

Growth creates opportunities and customer demand. Data provides the information needed to understand performance and make informed decisions. Engineering builds the products, applications, and systems required to execute and scale. AI adds intelligence, automation, and new capabilities across these areas.

This connected way of thinking is an important part of how EakLab approaches technology and business transformation.

Leadership That Starts With Understanding

At EakLab, the starting point is understanding the organization before recommending a solution.

The company’s transformation framework begins with Discover understanding business objectives, customers, products and services, existing technology, data, marketing systems, operational processes, and growth challenges.

The next stage is Diagnose, where business gaps, technology limitations, data challenges, operational inefficiencies, customer experience gaps, and potential AI opportunities are identified.

From there, EakLab moves into Strategize, developing a practical roadmap that can cover business priorities, growth strategy, technology architecture, data requirements, AI opportunities, implementation priorities, and KPIs.

This approach allows leadership and delivery teams to focus on the actual problem rather than starting with a predetermined technology.

From Strategy to Execution

Leadership is valuable when strategy can be translated into action.

EakLab’s transformation framework continues from strategy into Build, Integrate, Launch, Optimize, and Scale.

During the Build stage, initiatives can span marketing campaigns, websites, applications, software platforms, data pipelines, analytics systems, APIs, AI applications, AI agents, and automation workflows.

The objective is to avoid creating another isolated system and instead make new technology part of the organization’s broader ecosystem.

After launch, continuous optimization and measurement help identify what can be improved. Once successful initiatives are validated, they can be scaled across products, customers, markets, business functions, technology systems, or AI use cases.

Leadership Across Growth, Technology, Data & AI

EakLab’s leadership direction has expanded alongside the company’s capabilities.

Its Growth capabilities include Performance Marketing, Organic Marketing, SEO, AEO, GEO, and AI Visibility.

Its Engineering capabilities cover web, mobile, software, ecommerce, product engineering, DevOps, and systems integration.

Its Data capabilities focus on analytics, engineering, data integration, business intelligence, and actionable insights.

Its AI capabilities extend into Generative AI, Agentic AI, AI agents, intelligent automation, and AI transformation.

This combination enables EakLab to support businesses at different stages of their digital journey instead of limiting its role to a single service category.

A Practical Approach to Artificial Intelligence

AI is an important part of EakLab’s strategic direction, but the company’s approach is centered on practical adoption.

Rather than treating AI as an isolated technology category, EakLab views AI as a capability that can enhance growth, engineering, data, and business operations.

The company’s AI progression can be understood as:

AI Experimentation → AI Adoption → AI Integration → AI Automation → AI Transformation

This means the objective is not simply to add an AI feature. The bigger question is how AI can contribute to a specific business requirement—whether that involves customer experience, operational efficiency, data-driven decision-making, software products, or intelligent automation.

A Leadership Structure Designed to Grow With the Business

As EakLab continues to develop, its broader leadership framework can support specialized areas such as Growth, Engineering, Data, AI, Technology, and Operations.

These functional areas can provide focused ownership while remaining connected through the company’s broader strategy.

The available company documentation currently confirms Poonam Yadav as Founder. It does not formally confirm additional executive positions such as CEO, CTO, COO, CMO, Head of Engineering, Head of Growth, Head of Data, or Head of AI. Therefore, those positions and individual profiles should not be presented as confirmed leadership information until officially provided by EakLab.

This distinction matters because an effective leadership page should build trust through accurate information rather than unsupported claims.

Our Vision for the Future

EakLab’s long-term ambition is to become a global AI-powered Revenue, Growth & Innovation partner, connecting marketing, technology, data, and intelligent automation.

The company’s broader direction follows the evolution:

Digital → Data → AI → Agentic AI → Intelligent Automation → Business Transformation

As technology continues to change, EakLab aims to help organizations become more connected, data-driven, intelligent, automated, and scalable.

For the leadership team, this means continuing to think beyond individual services and focusing on how different capabilities can work together to solve meaningful business problems.

Building With Purpose

Leadership at EakLab is ultimately about creating the conditions for businesses to make better use of technology.

That means asking the right questions, understanding the business context, selecting appropriate technologies, connecting systems, using data effectively, and identifying where AI can create practical value.

The goal is straightforward:

• Help businesses grow.
• Help them build better digital products.
• Help them understand and use their data.
• Help them adopt AI practically.
• Help them transform for what’s next.

With Growth, Engineering, Data, and AI working together, EakLab’s leadership direction is focused on creating measurable, scalable, and sustainable business outcomes.