Relevance Lab

GenAI in Pharma and Life Sciences has moved beyond experimentation.
The real question now: 𝘄𝗵𝗼 𝗰𝗮𝗻 𝘀𝗰𝗮𝗹𝗲 𝗶𝘁—𝘀𝗲𝗰𝘂𝗿𝗲𝗹𝘆 𝗮𝗻𝗱 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆?

Across the industry, the mandate is shifting.
GenAI is no longer a tactical add-on—it’s becoming the engine behind R&D acceleration, clinical outcomes, and operational excellence.

The shift is clear:
🔹 From isolated pilots → Unified platforms
🔹 From discrete use cases → Enterprise-wide impact

But this is where most organizations stall.
Escaping the “pilot trap” requires more than models. It demands governance, data readiness, and AI-native architecture.

At Relevance Lab, we help pharma leaders move from AI-curious to AI-native—scaling securely, compliantly, and with real enterprise impact.

Explore the trends shaping what comes next: https://www.relevancelab.com/post/ai-for-healthcare-genai-agents-pharma

𝗖𝗹𝗼𝘂𝗱 𝘂𝗻𝗹𝗼𝗰𝗸𝗲𝗱 𝘀𝗰𝗮𝗹𝗲 𝗳𝗼𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵.
𝗖𝗼𝘀𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗱𝗶𝗱𝗻’𝘁 𝗸𝗲𝗲𝗽 𝘂𝗽. 📉

For many research institutions, AWS enabled modern scientific computing at scale. But one massive challenge remains: 𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗮𝗻𝗱 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗰𝗹𝗼𝘂𝗱 𝗰𝗼𝘀𝘁𝘀.

Research IT, P*s, and finance teams are still asking:
🔹 Which project is consuming the budget?
🔹 Are costs mapped to the right Cost Centre?
🔹 Which Slurm jobs drove this month’s GPU spend?

The problem isn’t effort — it’s fit.
Most FinOps tools are built for enterprise IT, not for 𝗴𝗿𝗮𝗻𝘁-𝗳𝘂𝗻𝗱𝗲𝗱, 𝗺𝘂𝗹𝘁𝗶-𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀.
The result? Manual spreadsheets. Tagging gaps. Billing surprises.

We partnered with AWS and research institutions to build a better approach.
Announcing 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗙𝗶𝗻𝗢𝗽𝘀 — a purpose-built solution designed for research environments.

It brings everything together:
✅ Project-based visibility (Cost Centre → Project → User)
✅ HPC & Slurm cost attribution
✅ Phantom asset detection (identify hidden costs)
✅ Automated, finance-ready chargebacks

👉 Read more about this approach to research cloud cost management→ https://www.relevancelab.com/post/introducing-research-finops

Wishing you a joyful Ugadi and Gudi Padwa filled with new hopes, fresh beginnings, and endless positivity.

Standard cloud architectures aren’t built for the demands of regulated research and engineering.

Workloads like scientific simulations, high-performance computing (HPC), and regulated analytics require cloud environments that are 𝘀𝗲𝗰𝘂𝗿𝗲, 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝘁, 𝗮𝗻𝗱 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗳𝗼𝗿 𝘀𝗰𝗮𝗹𝗲.

As we expand our AWS partnership in 2026, Relevance Lab is evolving from a services integrator to a 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺-𝗱𝗿𝗶𝘃𝗲𝗻 𝗰𝗹𝗼𝘂𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 for regulated industries such as Pharma and Aerospace.

Our cloud platform strategy brings together five core capability layers:
• Infrastructure
• Governance & Security
• Data Management
• Orchestration & Automation
• Managed Services

Together, they enable scalable research and engineering environments on AWS — supporting initiatives such as modern HPC platforms, GxP-compliant research environments, and trusted research enclaves.

𝗦𝗲𝗲 𝗵𝗼𝘄 𝘁𝗵𝗶𝘀 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗶𝘀 𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗼𝘂𝗿 𝗔𝗪𝗦 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝗻 𝟮𝟬𝟮𝟲:
https://na2.hubs.ly/H04fwlV0