What if a #manufacturing recipe behaved like source code? Structured, versioned, and able to move from lab to plant without a single value being retyped.
L7's Marcia Blackmoore makes the case for it in her latest article: bit.ly/4z15MFK
#CMC #TechTransfer #AI
When a CRDMO misses a stability pull, how long until your portfolio team knows?
L7 PLM gives sponsors and CRDMOs one governed, bi-directional CMC record.
At PPM Summit Boston? Meet our Founder & CEO @vrangadass and CCO Marcia Blackmoore.
▶ Datasheet: bit.ly/4yfmGiR
Legacy architectures trap critical scientific data in brittle, disconnected silos.
#L7ESP unifies the entire #CMC lifecycle, from scale-up to manufacturing, on a single, AI-actionable substrate.
▶ Full video: bit.ly/474o5xI
#Pharma #Biomanufacturing #GxP #AgenticAI
AI is accelerating drug discovery, but it is also tightening the choke point at CMC.
@vrangadass, Ph.D., makes the case for CMC-in-the-Loop: bit.ly/3TNjVHj
The bottom line is you cannot solve an enterprise orchestration problem with localized lab tools.
#CMC #Pharma
This Thursday at #CellAndGeneTherapy International, L7's Marcia Blackmoore joins Arvind Natarajan (Iovance Biotherapeutics), Mayo Pujols (Kyverna Therapeutics), and Pooja Sabhachandani (Novartis) for a candid panel discussion.
Join us for the session or stop by Booth #1508!
AI won't transform CMC until we transform the underlying data.
Tomorrow at #LotFEurope, @vrangadass will share the stage with leaders from J&J, Sanofi, Bayer, and QbDVision to outline the exact data foundations needed for true agentic process development.
Catch us there!
AI models are only 1.6–2% of the software footprint. The other 98% is orchestration, context, and governance.
The pragmatic middle path exists: keep the point-solution capabilities you need, but overlay them with one data model and execution layer.
Read: bit.ly/4zWzVao
Scaling precision science is a journey.
L7|ESP® was built from day one to give you a single, unified foundation. With 2026.1, we're giving your teams the speed and intelligence to execute faster, safer, and at scale.
See L7|ESP 2026.1 in action: bit.ly/4zowDwf
▶ Read the full press release here: l7informatics.com/news/unvei…
Agentic AI needs an operating system.
L7|ESP® has been that foundation from day 1. Structured data, connected systems, governed workflows, giving agents somewhere to work.
@vrangadass at @LabOfTheFuture Europe
Day 1 | 16:20 | Digital CMC Track
Booth #14 | Sept. 22-23
#LotFEurope
"How do we govern AI?" is one of the most common questions in pharma right now, and one of the hardest to answer well.
Our CEO, @vrangadass, on why governance has to exist in the operational fabric before an agent acts:
bit.ly/3TlxLQN
#AI #Pharma #Governance
Your #AI can probably summarize every paper ever published on your #molecule, yet it has no idea what happened on your floor last night.
That gap is architectural, and our new #whitepaper lays it all out, incl. AI compliance under 21 CFR Part 11 and GAMP 5.
Link in comment ▼
"Active Knowledge Graphs: Why AI in Regulated Life Sciences Stalls Without Them" white paper: l7informatics.com/white-pape…
We are delighted to welcome Ray Veeraraghavan, Ph.D., to L7 as VP of Science & AI.
Best part: Ray first knew L7|ESP as the customer who evaluated and selected it. Now he joins to lead scientific content strategy & drive adoption of L7|SYNAPSE Agentic AI.
Link to release below.
Another Gartner® Hype Cycle™ mention for @L7informatics!
Proud to be named in the latest Gartner® Hype Cycle™ for Process Manufacturing Technologies as a Sample Vendor for Laboratory Informatics Suites.
Learn more about L7|ESP®: bit.ly/4vw684K
250 years of big ideas, and the best ones are still ahead.
Today we're grateful for the people who make the work meaningful: our customers, our partners, our team members, and the broader life sciences community pushing every day to move science forward.
#FourthOfJuly
Researchers examined Anthropic's Claude Code and found that only ~1.6% of it was attributable to the AI making decisions. The other 98% was the architecture around it.
In regulated pharma, that 98% is where trust, compliance, and real advantage get built.
@vrangadass on why ⬇
Vasu Rangadass on the operational harness that makes AI safe to run on a GxP floor:
l7informatics.com/blog/orche…














