Overview
Research labs play a pivotal role in discovering life-saving compounds, enabling billions of people to enjoy longer, healthier lives.
When the stakes are this high, improving lab outcomes is critical. HCLTech’s NextGenLabs.ai platform is built on modern innovative technology, infused with secure state-of-the-art AI/ML models.
- Scalable, resilient, collaborative portfolio management and automated architecture across any R&D environment
- Established automation and business processes for seamless data sharing across partners
- Structured, data-driven decision making
- Uniform and governed data management practices
- Connected knowledge graphs to enable actionable insights
- Automated and digitized workflows incorporating state-of-the-art AI/ML and GenAI approaches
Thought Leadership
Success Stories
Frequently Asked Questions about HCLTech's Lab of the Future
HCLTech NextGenLabs.ai integrates with a broad range of lab systems, including LIMS, ELN, LIS, SDMS and QMS platforms. Our pharmaceutical lab digitization approach connects these systems with lab instruments, creating a unified data environment that eliminates silos and gives your team real-time visibility across all operations.
We provide real-time visibility into instrument status, health and calibration schedules through our pharmaceutical lab instrument management capabilities. Lab managers can monitor instruments remotely, schedule preventive maintenance proactively and reduce unplanned downtime, keeping experiments on track and operational disruptions to a minimum.
HCLTech takes a highly structured, data-centric approach to security and governance. Our platform automates data flow from experiment start to finish, directing it intelligently to ELN, LIMS, cloud or on-prem systems. We also provide Day -1, Day 0 and Day + cybersecurity coverage, including patch management and vulnerability monitoring.
Our clients have seen measurable results. We helped one leading pharmaceutical company achieve an 18%–20% productivity boost within a year by digitizing operations and enabling personalized oncology treatments. A large diagnostics company also achieved significant improvements in workforce productivity through digitized workflows and real-time operational monitoring.
Agentic AI enables our pharmaceutical lab management solution to make autonomous, intelligent decisions about resource allocation, optimize reagent use, anticipate consumable needs and reduce waste without constant human intervention. Our whitepaper on Agentic AI in laboratory management systems explores how this capability is revolutionizing lab efficiency.
Yes, and that's one of our core strengths. With HCLTech NextGenLabs.ai, lab teams can design, schedule, execute and visualize experiments entirely in the digital environment. This eliminates manual, repetitive data entry, reduces human error and frees scientists to focus on the work that actually drives discovery.
Our pharmaceutical lab resource management capabilities help labs optimize reagent and consumable usage through track-and-trace functionality. By reducing waste, preventing over-ordering, and ensuring materials are available when needed, labs consistently see meaningful reductions in operational costs and better resource utilization across the board.
NextGenLabs.ai delivers a single pane of glass reporting experience, so lab scientists can access and enter data without switching between multiple applications. We offer both boilerplate and fully customizable reports, user profile-based dashboards, edge analytics and DIY reporting, giving teams qualitative and quantitative insights into experimental outcomes and lab efficiency.
Absolutely. HCLTech NextGenLabs.ai includes comprehensive sample management capabilities covering the full sample lifecycle, from result entry and folder, lot and batch management to scheduler configuration. This gives lab teams complete traceability and control over samples throughout the entire experimental process.
We use RPA capabilities to automate data exchange between lab applications, building seamless interfaces between different LIMS platforms and other systems. This eliminates manual data transfers, reduces transcription errors and ensures data moves accurately and efficiently across your entire lab ecosystem—in real time.
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