Accelerated with AI.
Leverage your data to ensure accurate diagnoses, faster treatments, and improved patient outcomes, ushering in a transformation that promises a healthier tomorrow. That’s what AI solutions for healthcare can achieve for you by redefining care management and making it more personalized, accurate, and convenient for everyone.
HTCNXT helps you unlock AI’s untapped potential to provide exceptional healthcare experiences. We integrate AI capabilities into your traditional healthcare processes, helping you make smarter decisions to deliver superior experiences for patients and healthcare providers. Pioneer new healthcare solutions and enhance value outputs across your operations with Enterprise AI solutions for healthcare.
The HTCNXT Health data and Analytics Platform is a cloud-native, low-code/no-code based, modular solution that is specifically designed for modern healthcare systems. It provides a cutting-edge, ready-to-use data ecosystem that:
The HTCNXT Health data and Analytics Platform is a cloud-native, low-code/no-code based, modular solution that is specifically designed for modern healthcare systems. It provides a cutting-edge, ready-to-use data ecosystem that:
Scale care management using artificial intelligence and proactively address patient needs, mitigate risks, and improve care outcomes with advanced AI algorithms.
Consolidate and visualize critical data, including patient demographics, medical history, risk scores, and care milestones, in real-time. Enable care managers to efficiently track patient progress, monitor interventions, and collaborate with multidisciplinary teams, ensuring coordinated and proactive care delivery.
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HEALTHCARE
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HEALTHCARE
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From intent to execution — software delivery re-imagined with intelligence at every step.
In today’s experience economy, the contact center serves as the frontline of the brand, with agents shaping every customer impression.
Digital transformation is a monument built atop strong, modern data management. In the era of expanding the ‘datasphere’ and overwhelming amounts of dark data, stitching together the right pieces of information in real-time is the competitive edge.
Podcasts
AI integration presents a range of challenges for businesses, from compatibility with legacy systems to ensuring ethical practices and overcoming scalability issues.
AI has permeated every part of our lives, evolving from recognizing patterns to achieving human efficiency. Treading deeper into the AI landscape, generative AI (GenAI) has become the new normal, reshaping every industry.
All industry use cases and market predictions point in the direction of AI-driven contact centers — as the next strategic step for boosting agent productivity, supercharging customer experience, and increasing operational efficiency.
Generative AI (GenAI) has expanded the horizons of innovation and challenged us to rethink the potential of workflows, efficiency, and intelligence.
In the past year, Generative AI (GenAI) has emerged as one of the most remarkable breakthroughs, triggering a transformative wave across the global economic and IT landscape.
In this age and probably in the next century, artificial intelligence (AI) will be the cornerstone for futuristic enterprises seeking to make an impact.
In the dynamic landscape of artificial intelligence, Large Language Models (LLMs) stand as formidable entities, capable of processing vast amounts of information and making decisions that impact users.
The pressure is on. Every enterprise needs to be an AI-first organization. Yet, building formidable AI capabilities presents its own unique set of challenges.
Enterprises are no strangers to disruptions, with uncertainty lurking around every corner. In this dynamic environment, adaptability and resilience aren’t just admirable qualities but essential for business survival.
The advent of Generative AI models had a significant impact across industries – but most importantly, it accelerated the mainstream adoption of automation, thus enhancing speed and productivity.
Case Studies
We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions.
Case Studies
We helped a large public research university in California build AI/ML-driven solutions for managing technical data.
Case Studies
We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution.
Case Studies
We enabled a 70% reduction in the turnaround time for auto claims, helping the insurer reimagine claims intake with an AI-based FNOL solution.
AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace.
Generative AI models and similar architectures are known for their impressive and versatile features. These models have revolutionized natural language understanding and generation.
AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision.

Senior Vice President, SME
Healthcare
Talk to our domain experts to understand the best Enterprise AI use cases for your business.
Talk to our domain experts to understand the best use cases of Enterprise AI for your business.
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