Quantum University Roorkee Selects WeXL AI to Lead AI Adoption in Higher Education

Quantum University Roorkee Selects WeXL AI to Lead AI Adoption in Higher Education Roorkee, India — WeXL AI is excited to announce a strategic partnership with Quantum University, Roorkee, a recognized leader in AI adoption within the higher education sector. The collaboration will see the implementation of: Bharat English Test (BET): A localized, indigenous skill assessment tool to benchmark and certify proficiency. FluentEdge: An AI-powered personalized agent that creates tailored learning paths to build student confidence and fluency. Quantum University’s bold embrace of AI sets a new standard for Indian universities. We are grateful to Mr. Shobhit Goyal (Vice Chairman) and Prof. Vivek Kumar (Founding Vice Chancellor) for their steadfast support in shaping tomorrow’s leaders through technology.

IPEM Group of Institutions Joins Forces with WeXL AI for Agentic AI Learning

IPEM Group of Institutions Joins Forces with WeXL AI for Agentic AI Learning National News — In a move to revolutionize English proficiency testing and personalized education, WeXL AI has entered a strategic collaboration with the IPEM Group of Institutions. Through this partnership, IPEM students will gain access to FluentEdge, our cutting-edge Agentic AI personalized learning agent, and the Bharat English Test (BET). These tools are designed specifically to bridge the gap between local talent and global opportunities by providing indigenous, high-quality assessment and adaptive learning. WeXL AI acknowledges the support of Mr. Anupam Goel (Secretary, IPEM), Mr. Aviral Goel (Advisor, IPEM), Prof. (Dr.) Monika Sainger (Director, IPEM), and Mr. Shashank Chaudhary (Dean, Academics) for their commitment to academic innovation.

WeXL AI and RKGIT Ghaziabad Partner to Fuel Skill India 2.0​

WeXL AI and RKGIT Ghaziabad Partner to Fuel Skill India 2.0 WeXL AI is pleased to announce a transformative language skills partnership with Raj Kumar Goel Institute of Technology (RKGIT), an institution with over two decades of engineering and academic excellence. This alliance focuses on empowering students and professionals with globally competitive English skills through WeXL AI’s proprietary technology: Bharat English Test (BET): India’s first standardized, AI-powered language proficiency benchmark. FluentEdge: A 24/7 personalized AI learning coach providing real-time feedback and adaptive mastery paths. We extend our gratitude to Mr. Akshat Goel (Vice Chairman) and Dr. BC Sharma (Director) for their visionary leadership in bringing AI-driven innovation to the RKGIT community.

Omega Faculty Development Program at WeXL AI

Omega Faculty Development Program at WeXL AI We were delighted to host a Faculty Development Program (FDP) at the WeXL office for the Omega Group of Institutions. The session focused on: Strengthening modern teaching methodologies Enhancing classroom engagement Adopting effective academic and assessment practices Through interactive discussions, practical insights, and hands-on demonstrations, the program aimed to support faculty members in delivering impactful learning experiences and embracing continuous professional growth. We appreciate the enthusiastic participation of the Omega faculty and look forward to continued collaboration in shaping future-ready education. Testimonial Feedback from Our Community https://wexlai.com/wp-content/uploads/2026/01/WhatsApp-Video-2026-01-06-at-17.58.18.mp4https://wexlai.com/wp-content/uploads/2026/01/WhatsApp-Video-2026-01-06-at-17.58.20.mp4https://wexlai.com/wp-content/uploads/2026/01/WhatsApp-Video-2026-01-06-at-17.58.19-1.mp4https://wexlai.com/wp-content/uploads/2026/01/WhatsApp-Video-2026-01-06-at-17.58.19.mp4

Transforming Student Employability: From Last-Mile Fix to Systemic Scale.

Institutionalizing Employability: GLA University Partners with WeXL AI to Scale Student Readiness We are proud to announce a strategic partnership between GLA University and WeXL AI. This collaboration marks a significant shift in how higher education institutions approach student readiness, moving beyond traditional training methods to adopt a systemic, scalable, and technology-driven model. The Core Philosophy: Beyond “Last-Mile” Fixes The GLA University × WeXL AI partnership is founded on a clear institutional belief: Communication, Confidence, and Employability must be built systematically and at scale. For too long, these critical skills have been treated as “last-mile fixes”—interventions attempted only right before placement season. This partnership challenges that status quo. By integrating WeXL AI’s capabilities, GLA University is ensuring that employability is not an afterthought, but a fundamental pillar of the academic journey. The Methodology: A repeatable, AI-Led Framework To achieve campus-wide readiness, GLA University is adopting our Bharat-built, AI-led framework. This provides a repeatable model that standardizes excellence while catering to individual student needs. The framework operates on a five-stage cycle: Benchmark: Establishing precise baselines for every student’s current skill level. Personalise: Curating learning paths based on individual gaps and strengths. Practice: providing AI-driven, consistent drills to build articulation and confidence. Certify: Validating skills with data-backed credentials. Track: Offering real-time analytics to monitor progress at scale. The Impact: MNC-Grade Outcomes The ultimate goal of this deployment is to ensure MNC-grade readiness for every student. By digitizing and tracking the development process, outcomes become: Visible to Leadership: Enabling data-driven decision-making at the university level. Credible to Recruiters: providing validated proof of a candidate’s communication proficiency. Looking Ahead We are honored to partner with GLA University in this transformative initiative. Together, we are committed to building future-ready Indian talent prepared to succeed on the global stage.

Partnering for Excellence: WeXL AI & ABES Group of Institutions

Partnering for Excellence: WeXL AI & ABES Group of Institutions Empowering the Next Generation with AI-Driven Communication and Employability WeXL AI is thrilled to announce a landmark partnership with ABES Engineering College and ABES Business School (ABES Group of Institutions, Ghaziabad). This collaboration unites a beacon of educational excellence with cutting-edge AI technology to redefine the future of learning. The Vision for Transformation ABES has consistently demonstrated a commitment to innovation, academic rigor, and student-centric excellence. This partnership amplifies that vision by integrating advanced AI tools with world-class institutional infrastructure to create transformative learning outcomes. Together, we are redefining how language proficiency, communication, and employability skills are built through real-time assessment and personalized learning journeys. Flagship Programs Being Launched Our collaboration focuses on two core pillars of excellence: A Commitment to Global Opportunities This collaboration transcends traditional AI adoption. It is about co-creating the future of higher education with an institution that understands the pulse of student aspirations and market demands. We are setting a gold standard model for AI + English + Employability to inspire institutions across India. Recognition of Visionary Leadership We extend our deepest gratitude to the leaders at ABES who are championing this bold educational transformation: Your leadership in advancing AI-driven, indigenously-rooted education sets a powerful benchmark for the entire sector.

Bharat English Test (BET™) Showcased at AIU North Zone Vice-Chancellors’ Meet 2025–26

Bharat English Test (BET™) at AIU North Zone Vice-Chancellors’ Meet 2025–26 The Bharat English Test (BET™)—a Make-in-India, AI-powered, adaptive English assessment and learning system—was introduced at Lovely Professional University during the AIU North Zone Vice-Chancellors’ Meet 2025–26, in the presence of Vice-Chancellors and senior academic leaders from across North India. WeXL acknowledges the leadership of the Association of Indian Universities (AIU), particularly Dr. (Smt.) Pankaj Mittal, Secretary General, AIU, whose vision for strengthening India’s higher education ecosystem enabled the platform to present a nationally relevant, indigenous innovation. We also extend our appreciation to the leadership of Lovely Professional University—Dr. Ashok Kumar Mittal (Founder Chancellor), Smt. Rashmi Mittal (Pro-Chancellor), and Prof. Dr. Jaspal Singh Sandhu (Vice-Chancellor)—for facilitating the introduction of a Bharat-built solution designed to help universities measure, track, and enhance communication skills at scale. BET™ extends beyond conventional assessment by combining AI-driven diagnostics with personalised, adaptive learning pathways, enabling learners from diverse backgrounds to build confidence and workplace readiness with measurable progress. Aligned with the vision of an Atmanirbhar, Viksit Bharat, BET™ represents a scalable, analytics-driven platform—built in Bharat, for Bharat, and relevant to global academic and employability standards.

NEC × WeXL AI: Launch of AI Center of Excellence

NEC × WeXL AI: Launch of AI Center of Excellence The launch of the AI Center of Excellence at NEC in collaboration with WeXL AI marks a significant step aligned with the Viksit Bharat @2047 vision—preparing young engineers to lead India’s next phase of innovation and digital growth. The initiative is structured around two focused capability engines: Confident Communicators, powered by the indigenous Bharat English Test (BET™), and Future-Ready Platform Builders, enabling students to design and build deployable AI-driven systems. Students gain hands-on exposure to the complete engineering lifecycle, including architecture design, data pipelines, APIs, CI/CD, security, observability, and enterprise-grade deployment across real-world use cases such as voice AI, digital platforms, and healthcare systems. During the launch, Mr. Naveen Kumar Linga (CEO, WeXL AI) and Mr. Kiran Kumar Atmakuru (CSO & COO, WeXL AI) were honoured by NEC in recognition of their leadership and contribution toward building a future-ready, deep-technology-driven talent ecosystem. This initiative reflects NEC’s visionary leadership—particularly Mr. Chakravarthi Mittapalli—in strengthening India’s pipeline of engineers capable of designing, shipping, and scaling platforms from Bharat to the world.

DBS Global University × WeXL AI: Advancing Bharat-Led Communication Excellence

DBS Global University × WeXL AI: Advancing Bharat-Led Communication Excellence WeXL AI has partnered with DBS Global University as part of its Bharat-led mission to build global-MNC-ready graduates through indigenous AI innovation. The collaboration deploys WeXL’s patented, AI-adaptive English and Business Communication ecosystem—Bharat English Test (BET™) and FluentEdge™—to strengthen student confidence, fluency, and workplace readiness across Uttarakhand. By unifying assessment, personalized AI-driven learning, and business communication excellence into a single, Make-in-India platform, this framework delivers significantly higher value while aligning students to global performance standards. DBS Global University’s leadership in adopting this model reinforces a future where Indian institutions enable every learner to compete globally with clarity, confidence, and communication excellence.

Building a Voice-Based Form Filling Assistant for Bahmni in Low-Resource Settings

Building a Voice-Based Form Filling Assistant for Bahmni in Low-Resource Settings Electronic Medical Records bring structure, consistency, and continuity to patient care. In low-resource hospitals, tools like Bahmni and OpenMRS have become essential because they are open, flexible, and can run reliably on constrained infrastructure. But one challenge persists everywhere: entering data into large clinical forms takes time. Clinicians in Malawi, Zimbabwe, Ethiopia, and other low-connectivity environments often work with high patient volumes, shared computers, intermittent power, and limited time for documentation. Even experienced users find it slow to navigate multi-page forms while focusing on the patient. Over the past year, voice technology has finally matured enough to make an alternative possible:Speak naturally → AI fills the form.This blog explains how we built a voice agent that acts as a new UI layer for Bahmni without changing Bahmni itself. 1. The Problem: Documentation Burden in Low-Resource Hospitals Bahmni and OpenMRS offer robust clinical forms that capture detailed information—diagnosis, scores, vitals, surgical plans, medication, counselling notes, and follow-ups. This richness is valuable but comes with practical difficulties: Typing and navigation slow down consultations. Computers are often shared among many providers. Connectivity may be unreliable, so offline support is essential. Many clinicians prefer speaking to typing—especially during busy patient flows. After-hours documentation becomes the norm in many hospitals. The result is a familiar pattern: incomplete forms, delayed entry, and reduced data quality. The clinical workflow demands something more natural. 2. Voice Agents in 2025 — A Leap Beyond Transcription Voice technology in 2025 is different from the early dictation systems we all remember. Modern voice agents are powered by real-time speech recognition, small/medium LLMs, and streaming pipelines that understand context rather than simply transcribing text. A clinician can say: “The child has left-sided clubfoot, Pirani score four point five. Started Ponseti casting today. Follow up next Thursday.” The system not only transcribes the speech but extracts structured concepts: Diagnosis: Left clubfoot Score: Pirani = 4.5 Procedure: Ponseti casting Follow-up date: Next Thursday This shift means voice can finally act as a true interface, not an afterthought. 3. Pipecat: The Backbone of a Real-Time Voice Pipeline To build the Voice Agent, we used Pipecat, a modern framework designed for constructing realtime AI voice pipelines. Pipecat was a good fit because: It composes STT → LLM → business logic → TTS pipelines elegantly It supports low-latency streaming interactions It works with both open-source and commercial components It can run on-premise without relying on external cloud services It handles accents and noisy environments better than older stacks It aligns well with the open, modular philosophy of Bahmni Most importantly for low-resource deployments:Pipecat can be fully self-hosted. Hospitals running Bahmni on local networks can run the entire pipeline—STT, LLM, form extraction, and TTS—on their own machines, ensuring data privacy and high availability even during outages. 4. STT & TTS in 2025 — A Solved Problem with Great Options The biggest enabler of a reliable voice agent today is the maturity of speech-to-text and text-to-speech technologies. Open-source STT options: Whisper / Whisper-turbo models Vosk Nvidia NeMo ASR Commercial STT options (if bandwidth permits): Deepgram AssemblyAI Azure Speech Google Speech These engines perform well even with African and South Asian accents, which historically were difficult for automated speech systems. TTS options: Coqui TTS (open source) NeMo TTS Azure or Google TTS (for cloud setups) The critical point is that either path—open-source or commercial—works reliably. Hospitals choosing fully offline deployments can stay 100% self-contained using Whisper + Coqui. Those with stable bandwidth can use cloud engines to reduce local compute load. STT/TTS are no longer the bottleneck. That allows us to focus on the meaningful piece: structuring medical data. 5. Making Bahmni Work with a Voice Agent — Without Changing Bahmni One of the design goals was simple: Do not modify Bahmni.Do not modify OpenMRS concepts.Do not redesign existing forms. The voice agent should work as a new input layer, nothing more. Here’s the architecture in plain terms: Clinician Speaks Pipecat captures the audio stream. Speech-to-Text (STT) Converts speech into text—on-prem or cloud. LLM Extraction A model parses the text and extracts structured fields tied to OpenMRS concepts. Example: {“diagnosis”: “Left clubfoot”, “pirani_score”: 4.5, “plan”: “Ponseti casting”} Mapping to Bahmni Concepts A simple mapping layer turns extracted values into Obs (observations) and form properties. Bahmni REST API The Voice Agent sends the structured JSON to Bahmni’s existing API endpoints. Bahmni treats it exactly as if a user filled the form manually. Optional Confirmation Step The agent speaks back: “I recorded left clubfoot with a Pirani score of 4.5. Should I submit the form?” There are no changes to: Bahmni UI Bahmni ERP OpenMRS core Concept dictionaries Existing workflows This preserves maintainability across upgrades and keeps the system community-friendly. 6. Demo Video This clip illustrates the end-to-end workflow:A clinician speaks naturally, the agent extracts the information, and the encounter form fills itself instantly—all using normal Bahmni APIs.   7. Open-Source and Community Friendly The entire approach stays true to Bahmni’s and OpenMRS’s ethos: Uses open frameworks (Pipecat, Whisper, NeMo, Coqui) Works with on-prem Bahmni installations Modular architecture that others can extend Easy to plug in different STT or LLM providers Localizable for different languages Clean separation from Bahmni codebase Encourages experimentation in the global digital health community Hospital implementers can fork, adapt, and evolve the agent for their own clinical forms or languages without needing to alter the EMR. 8. Why This Matters for Low-Resource Settings Voice-based documentation can meaningfully improve workflows in environments where: Computer access is limited Clinicians handle long queues Typing slows down patient care Power and connectivity fluctuate Staff availability is stretched thin Local languages and accents vary By reducing the time spent navigating forms, clinicians can focus more on the child sitting in front of them.By improving completeness and consistency, hospitals gain better data for clinical decisions and reporting.By keeping everything offline-capable and open-source, the solution remains practical for real-world deployments. This is not about replacing existing Bahmni features.It’s about removing friction and letting clinicians document naturally. If the community finds this valuable, we hope