Benevolve Powers AI-Driven Talent Intelligence for Digital-Native Leaders Including PhonePe, Myntra and MediBuddy


Published: 18 Aug 2026

Author: Gautam Mahajan

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In August 2026, Benevolve, an AI-powered workforce transformation platform, is helping digital-native enterprises build skills-first workforces through AI-driven talent intelligence. The company works with technology-first organizations, including PhonePe, Myntra and MediBuddy, in order to support data-driven talent decisions, identify skill gaps and strengthen workforce planning.

As AI reshapes industries and job roles, digital-native organizations are increasingly moving beyond traditional HR systems towards skills-first workforce strategies. Rapid business growth, changing skill requirements and evolving organizational structures are making workforce intelligence a strategic priority.

Benevolve also offers a configurable suite of AI-powered workforce solutions that are designed to help organizations understand workforce capabilities, identify emerging skill requirements, and support decisions on workforce planning, internal mobility, and career development. The platform also covers performance and goals management, compensation planning, rewards and recognition, and succession planning.

As enterprises continue to adopt AI-led workforce strategies, the company is focused on talent management, internal mobility, continuous skill development, and workforce planning to help organizations respond to changing business and skills requirements.

Impact on the ICT Market

Benevolve offers a configurable suite of AI-powered workforce solutions such as:

  • Workforce Intelligence: Real-time visibility into workforce capabilities and emerging skill needs.
  • Talent Planning: Informed decisions around workforce planning, internal mobility, and career development.
  • Performance & Goals Management: Simplifies reviews and aligns employee performance with organizational priorities.
  • Compensation & Rewards: Supports structured compensation planning, rewards, and recognition.
  • Succession Planning: Enables scalable people processes for long-term growth.

The platform is also enterprise-ready, backed by ISO 27001 certification and SOC 2 compliance, ensuring security and data privacy. Janani Natarajan, Head of People Product and Tech, PhonePe, stated that Benevolve worked with the company to develop a performance management solution that could adapt to its evolving requirements while simplifying performance reviews and improving the employee experience.

benevolve

Impact on the Artificial Intelligence as a Service Market

The global artificial intelligence as a service market size is estimated at USD 16.48 billion in 2025 and is predicted to increase from USD 22.70 billion in 2026 to approximately USD 294.83 billion by 2034, expanding at a CAGR of 37.78% from 2024 to 2034.

According to Precedence Research, the market is driven by rising cloud adoption and demand for scalable AI solutions. The market is growing quickly as today's businesses are adopting AI-enabled solutions on cloud platforms. Organizations are leveraging AIaaS to improve automation, decision-making, and efficiency. The increase in the use of natural language processing (NLP), predictive analytics, and machine learning (ML) technologies/solutions in businesses is driving this demand. Due to its flexibility and cost structure, AIaaS is preferred in almost every industry and has the potential to transform the global economy digitally, thereby contributing to the continuing expansion of the global market.

Artificial Intelligence as a Service is rapidly gaining massive traction as businesses are increasingly adopting cloud-based AI platforms to identify and provide quick digital transformation. Companies are adopting AIaaS capabilities, such as predictive analytics, automation, NLP, and computer vision, with minimal investments in infrastructure. There is also a growing investment trend relating to the market growth of AI innovation and enterprise modernization.

Impact on the Enterprise Artificial Intelligence (AI) Market

The global enterprise artificial intelligence (AI) market size is estimated at USD 20.93 billion in 2025 and is anticipated to reach around USD 592.51 billion by 2035, expanding at a CAGR of 39.70% between 2026 and 2035.

According to Precedence Research, the deployment of AI apps in businesses is rising in popularity. Businesses are rapidly seeing the benefits of integrating AI into daily operations. AI is helpful to businesses in a variety of ways that alter how businesses interact, innovate, and improve their operations. Government, retail, financial services, manufacturing, the automobile industry, and advertising are just a few of the main end-use industries that employ artificial intelligence services.

The capacity of Artificial Intelligence technology to successfully assess the gathered data and anticipate judgments using essential algorithms assists in increasing efficiency. AI has fundamentally revolutionized how organizations are handled in the current business climate. These are the primary reasons why investments in artificial intelligence technologies are increasing. To increase the efficiency of their value chains, several small startups and IT firms have started investing in the adoption of open-source AI platforms. Additionally, the expansion of low-cost, high-quality AI technologies is anticipated to support the expansion of the corporate artificial intelligence market.

Expert Opinion

  • Aditya Singh, Founder & CEO, Benevolve, said,

“Digital-native businesses operate in environments where priorities, technologies, and workforce skills are constantly evolving. Organizations today need real-time visibility into their workforce to make smarter talent decisions and build teams that can adapt quickly to change.”

  • Seema Vijay Singh, Head of People & Culture, MediBuddy, said,

“As organizations grow, making informed talent decisions requires greater visibility into workforce capabilities. Benevolve has helped us uncover meaningful performance patterns across roles and career levels, enabling more structured and data-driven talent decisions.”

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