How edForce Is Tackling the Corporate Upskilling Challenge

Amidst the growing demand for digital skills and the rapid evolution of workplace learning, edForce has positioned itself as a notable player in India’s upskilling ecosystem. Established in 2021, the company offers a range of services- from learner engagement to training delivery—aimed at helping enterprises navigate shifting workforce needs. Leading the organisation is Ravi Kaklasaria, a serial entrepreneur with over 15 years of experience in ed-tech, who brings a deep understanding of the challenges facing learning and development teams today.

In this CiOL CXO Insights feature, Ravi Kaklasaria, Co-Founder and CEO of edForce, shares his insights on the shifting landscape of corporate learning, the role of AI, and what it takes to build future-ready teams.

You’ve built two ed-tech ventures and have witnessed the evolution of enterprise learning firsthand. What inspired the creation of edForce, and what core problem in corporate upskilling are you aiming to solve at scale today?

Having been in the edTech space since 2009, it became evident to me, following the rapid adoption of remote work after the COVID pandemic, that the future of learning will undergo a massive transformation. Additionally, AI had also started showing signs of disruption. There was a huge gap between what organisations wanted and what conventional L&D models were delivering. And fixing this gap was a good enough reason for me to start edForce.

edForce was born out of a clear mission: to solve the "last-mile problem" in corporate upskilling, where learning isn’t just about content delivery, but about engagement, application, and real-world impact. Most platforms stop at offering courses; we go beyond by integrating assessments, CloudLabs, certifications, and full training lifecycle management, tailored to each client’s goals.

Today, we’re helping enterprises address skill gaps in rapidly evolving areas such as AI, DevOps, cloud computing, and cybersecurity, while ensuring that learning is outcome-driven, scalable, and deeply integrated into business workflows. edForce isn’t just a vendor; we function as the extended learning and certification arm of organizations, helping them build future-ready teams.

How is edForce leveraging AI and machine learning to deliver intelligent, adaptive learning experiences tailored to enterprise workforce needs?

edForce is strategically leveraging AI and machine learning to create intelligent, adaptive learning experiences that are finely tuned to the dynamic needs of enterprise workforces. By integrating AI-driven analytics, edForce identifies individual skill gaps through assessments and behavioral data, allowing the platform to deliver personalized learning paths for each employee. Machine learning algorithms continuously optimize content recommendations based on learner progress, preferences, and performance.

This ensures that the training is not only relevant but also efficient, enhancing engagement and retention. Additionally, AI is used for automating administrative tasks such as scheduling, learner tracking, and certification management, allowing HR and L&D teams to focus on strategic initiatives. edForce also integrates with CloudLabs for hands-on, real-time virtual environments, offering practical experience tailored to enterprise-specific use cases. Overall, edForce’s AI-powered approach transforms traditional training into a smart, scalable, and outcome-driven learning ecosystem aligned with business goals.

With the rise of GenAI and technologies like LLMOps, prompt engineering, and synthetic data, how is edForce updating its curriculum to stay relevant in an ever-changing tech landscape?

With the rapid rise of GenAI, LLMOps, prompt engineering, and synthetic data, edForce is proactively evolving its curriculum to ensure relevance and future-readiness. As a tech-forward upskilling accelerator, edForce continuously monitors emerging trends and integrates them into tailored learning programs for enterprise clients. The curriculum now includes hands-on modules on Generative AI tools, advanced prompt engineering techniques, and real-world applications of synthetic data across sectors.

Also, edForce has introduced learning tracks around LLMOps to help professionals operationalize large language models efficiently within business environments. These programs are designed to equip learners not just with theoretical knowledge but with practical, project-based experience aligned to industry needs. By leveraging virtual labs, assessments, and customized training paths, edForce ensures that organizations can quickly reskill their workforce for AI-driven transformation. This dynamic approach reflects edForce’s commitment to bridging the skills gap in real time as technology evolves.

What technologies power your learning platform’s backend, and how do you ensure scalability, data security, and performance across enterprise deployments?

Our learning platform is powered by a robust, cloud-native architecture built on scalable services such as AWS and Microsoft Azure. We leverage microservices and containerization (Docker, Kubernetes) to ensure flexibility and seamless scalability across large enterprise deployments. For real-time performance, our platform integrates CDN networks and load balancing to optimize content delivery and user experience globally.

Data security is paramount; our systems are compliant with industry standards like ISO 27001 and GDPR. We implement end-to-end encryption, role-based access controls, and continuous monitoring to protect sensitive training and user data.

To maintain high performance and uptime, we use AI-driven analytics for proactive issue detection and dynamic resource allocation. Our backend also supports integration with enterprise-grade systems such as HRMS, LMS, and SSO providers, ensuring frictionless deployment and management. Overall, our platform is engineered to support complex, large-scale training programs with speed, security, and reliability at its core.

How does edForce use data analytics or behavioral intelligence to measure training effectiveness, skill absorption, and ROI for enterprises?

At edForce, data is central to how we deliver, refine, and measure the impact of enterprise learning. We leverage advanced data analytics and behavioral intelligence across our platform, including CloudLabs, to track every step of a learner’s journey. This includes metrics like time spent, skill progression, lab performance, assessment scores, and real-time engagement levels.

Our platform translates these insights into actionable dashboards for L&D teams, highlighting areas like knowledge retention, learning velocity, and skill gap closure. We also conduct pre- and post-training assessments aligned to specific competencies, which helps us measure skill absorption and benchmark improvement at an individual and organizational level.

To go a step further, we integrate these analytics with enterprise HR systems to map training outcomes to business performance, be it improved productivity, reduced error rates, or faster project deployment. This gives clients a clear picture of training ROI, making workforce upskilling a strategic growth lever rather than just a compliance function.

Ultimately, our goal is to make learning intelligent, measurable, and directly tied to business impact.

Can you elaborate on how edForce integrates with enterprise HRTech and productivity ecosystems (like SAP, Workday, Microsoft Teams, etc.) to ensure seamless learning in the flow of work?

edForce is designed to seamlessly integrate with enterprise HRTech and productivity ecosystems such as SAP, Workday, Microsoft Teams, and others to deliver learning directly in the flow of work. By embedding training modules, assessments, and learning paths within these platforms, edForce enables employees to access upskilling opportunities without disrupting their daily workflows. This integration ensures real-time data sync for performance tracking, learner progress, and skills gap analysis, allowing HR and L&D teams to make informed decisions.

For example, with Microsoft Teams, users can receive training reminders, join virtual labs, and access learning content within their collaboration environment. With HRIS platforms like SAP and Workday, edForce automates learner onboarding, certification tracking, and competency mapping. These capabilities not only enhance learning adoption but also align training efforts with organizational goals. The result is a frictionless, scalable, and personalized learning experience that improves both employee engagement and productivity.

As you expand globally, how are you addressing localization challenges, both in terms of content customization and tech compliance for different geographies like the EU (GDPR), UAE, and Singapore?

As we expand globally, addressing localization is a top priority both in content customization and tech compliance. For content, we tailor learning programs to meet regional workforce needs, language preferences, cultural nuances, and industry-specific demands. This includes localized case studies, region-relevant examples, and flexible delivery models to suit different time zones and learning styles.

On the technology front, we are fully committed to complying with global data privacy and security standards. Our platforms are designed to align with regulations such as the EU’s GDPR, UAE’s data protection laws, and Singapore’s PDPA. We ensure data is stored, processed, and managed according to regional compliance norms through secure, geo-specific cloud infrastructures.

Although we work closely with legal advisors and regional partners to continuously audit and enhance our systems. This approach ensures our clients receive not only a localized and engaging learning experience but also the highest standards of trust and compliance.

Looking ahead to FY27 and your ₹100 Cr ARR goal, what emerging technologies or workforce trends do you believe will most significantly shape the next phase of enterprise upskilling, and how is edForce preparing to lead in that transformation?

Looking ahead to FY27 and our ₹100 Cr ARR goal, we believe emerging technologies like Generative AI, Large Multimodal Models (LMMs), and autonomous agentic systems will significantly shape the future of enterprise upskilling. At the same time, workforce trends such as hybrid work, personalized learning journeys, and outcome-based training models are redefining expectations from L&D. To lead this transformation, edForce is investing in AI-driven content delivery, intelligent assessments, and adaptive learning platforms that map directly to business goals.

We are also expanding our capabilities in cloud, cybersecurity, and domain-specific AI training. By strengthening our CloudLabs infrastructure, enhancing our analytics for learning effectiveness, and scaling our Hire-Train-Deploy (HTD) programs, we’re ensuring that organizations can build future-ready teams. Our goal is not just to deliver training, but to become a strategic partner in driving business performance through deep, tech-enabled workforce transformation at scale.