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Overview

Intelligence, Engineered for Life

MedTech faces a growing complexity equation: products that are intelligent, connected and continuously evolving demand faster innovation — while regulatory, quality and lifecycle complexity climbs.

Yet critical knowledge remains distributed across requirements, risks, design decisions, test evidence, quality systems, cybersecurity artifacts and post-market signals, slowing innovation, increasing compliance effort and limiting business agility.

At The MedTech Conference 2026, we will unveil HCLTech’ s AI-native intelligence platform for regulated product lifecycles.Built on the vision of Intelligence, Engineered for Life, the platform transforms fragmented lifecycle knowledge into connected, explainable and actionable intelligence, helping MedTech organizations accelerate innovation with confidence.

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Overview
HCLTech’s Agentic-AI Platform

Designed for Regulated Product Integrity

Our AI-native engineering intelligence platform is designed to connect product, quality, regulatory, cybersecurity, manufacturing and post-market knowledge across the lifecycle. By combining domain-aware agents, contextual retrieval, connected product knowledge and governed reasoning, it transforms fragmented artifacts into actionable lifecycle intelligence.

What sets our Agentic-AI platform apart

  • Domain-rooted intelligence
  • Device-and patient-centric context
  • Conscious engineering intelligence
  • Compliance-native evidence
  • Outcome-driven engineering
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Featured Demonstrations

Transforming high-value MedTech workflows

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New product development

Accelerate development by reusing prior product knowledge, identifying impacted evidence and improving decision consistency from concept through release

DHF and risk management

Maintain connected requirements, hazards, controls, verification evidence and change impact across product variants

Traceability and compliance readiness

Continuously assess completeness, evidence lineage and regulatory readiness instead of preparing only at audit time

Sustaining engineering

Evaluate change impact across architecture, risks, tests, manufacturing evidence and submissions before implementation

Complaints and investigations

Correlate complaints, device telemetry, lot context, service records and prior investigations to accelerate root-cause analysis

Post-market surveillance

Move from complaint-dependent detection to integrated signal intelligence across field and operational data

Intelligent test automation

Generate, prioritize and maintain test assets using requirement, risk, code and change context

Pre-Event Webinar

Reimagining the Cost of Quality: The Agentic AI Opportunity for MedTech

Quality accounts for a significant investment across the MedTech value chain, yet many organizations continue to rely on manual and reactive quality processes. Join HCLTech and industry leaders to explore how Agentic AI can help transform quality management, strengthen compliance, and accelerate innovation across the MedTech product lifecycle.

Date: September 30, 2026

Time: 10:00 AM ET

Register now

Noor Malki
Noor Malki

SVP and Head of Quality, Varian, Siemens Healthineers

Keith Lavery
Keith Lavery

VP, Data, Analytics and AI, Zimmer Biomet

Partha Marella
Partha Marella

EVP, Life Sciences, HCLTech

Meet Our Experts at the MedTech Conference 2026

Discover how MedTech organizations are using enterprise intelligence to accelerate innovation, simplify compliance and improve patient outcomes.

Partha Marella
Partha Marella

Executive Vice President, Life Sciences

Nitin Kaura
Nitin Kaura

Vice President, MedTech Portfolio Leader

Nikesh Anand Rajagopalan
Nikesh Anand Rajagopalan

Senior Director, Life Sciences

Srijit Menon
Srijit Menon

Senior Vice President, Life Sciences

Seema Kapoor
Seema Kapoor

Vice President, Life Science and Healthcare Digital Services

Trends and Insights

Contact Us

ERS エンジニアリング イベント HCLTech at AdvaMed 2026