Score readiness, not status
Not a green tick on a spreadsheet. A calibrated probability that this patient will actually be collectable on this date, decomposed into the drivers — so a clinician can argue with the reasoning instead of a number.
Meridix is the centre-side control layer for cell and gene therapy — readiness scoring, continuous slot optimisation, and one chain of identity across every manufacturer portal.
R-4471 is booked into a manufacturing slot on 14 Oct. Is she going to make it — and if she isn't, who should have the slot?
Recommend release. R-4471 scores 0.41 for 14 Oct; the binding constraint is T-cell fitness, not authorisation, so waiting does not help. Rebook 04 Nov (0.86). Slot released to the reallocation pool — R-4392 at Site 07 scores 0.88 and is ready now. Clinician confirmation required.
The coordinator keeps working the way the ward works. Meridix absorbs the fragmentation underneath — four portals, five organisations, and a slot that has to be booked before anyone can know whether it can be used.
Walk through the consoleNot a green tick on a spreadsheet. A calibrated probability that this patient will actually be collectable on this date, decomposed into the drivers — so a clinician can argue with the reasoning instead of a number.
Match the pipeline against every open slot and re-solve as patients change. The harder question is the one nobody asks today: which slot should be released, and how early, so that somebody else can still use it.
One patient record across every sponsor portal, with chain-of-identity verification reconciled rather than re-keyed. We integrate with the manufacturer systems; we do not pretend to replace them.
Cross-product selection support, slot reallocation across sponsors, and honest attrition measurement are only available to someone with nothing to sell in the decision. That is an architectural position, not a marketing one.
Read the neutrality argumentRegistries count the patients who were infused. The losses happen upstream, in fragments, across systems that never meet. We reconstruct the full path from intent to infusion and tell you where your programme actually loses people.
Which available product fits this patient, and what is the realistic vein-to-vein time for each — measured at your centre. No manufacturer will ever ship this, because it sometimes recommends a competitor.
Centres see every open slot they could reach. Manufacturers see real demand, true utilisation and why forfeitures happen — the mirror image of their own portal, which today shows them a quarter of the picture.
We have no product in the decision. Every incumbent does. Copying us would mean dissolving themselves, which is why the position holds.
Who made it, who did not, at which step, and what the leading indicators were — across centres and across products. No registry holds this. It compounds with every journey.
Every sponsor portal, protocol, slot rule and custody convention, maintained as they change. Unglamorous, and a genuine barrier to anyone starting later.
The cell therapy coordinator is the person this exists to serve. Once the day runs in one system instead of six, the shortage stops setting the ceiling on how many patients a centre can treat.
Mari holds a PhD and MS in Computer Science and Engineering from IIT Madras, where his thesis applied machine learning and signal processing to bio-signals — speech, EEG and neuronal recordings — published with Hema A. Murthy and Mriganka Sur, and recognised with the Institute Research Award in 2021. The work was consistently about the same thing: extracting a reliable, decomposable signal from noisy biological data where the ground truth is observed and the stakes of a wrong call are real.
He spent three years as an Applied Scientist at Amazon working on large-scale speech and language systems, and is currently a Senior Software Engineer in AI/ML at Google, after earlier engineering roles at MTX Group and Zoho. He was awarded the medal for best outgoing student at Thiagarajar College of Engineering in 2015.
Readiness is a prediction problem with real labels — the outcome is observed every single time. What was missing was never the model. It was anybody assembling the data across the organisational boundary.
The centre owns its data. Anything that moves to the network layer is de-identified, and no cross-centre model training happens without a contractual opt-in. What sponsors can see and what selection support uses are separated in the system, not in a promise — because the moment neutrality is compromised, it stops being an asset and becomes the liability.
Readiness is explanatory by construction: every score decomposes into its drivers. And the model is audited for whether it disadvantages patients by payer type, distance, language or any proxy for income — with the methodology published and reviewed externally, not kept as an internal policy.
Meridix is at design-partner stage. The controls above are the committed architecture and the certification roadmap — we will tell you exactly which are audited today on the first call, rather than implying all of them are.
Take one programme's last two years. We reconstruct every patient intended for therapy and trace where each one went. Most centres have never seen this analysis of themselves.