AI-native blood supply intelligence

The supply chain that
saves lives runs on
guesswork.

Corenth applies machine learning to blood bank and plasma center operations — forecasting demand, minimizing expiry waste, predicting donor retention, and automating regulatory traceability.

38%
of donated blood discarded due to expiry
$3M+
emergency procurement cost per major hospital annually
~0
AI-native solutions exist in this supply chain today

Blood banks operate blind.

Demand spikes are unpredictable. Inventory expires. Donors churn. Regulatory audits are manual. Each of these failures costs lives and millions — yet the industry still runs on spreadsheets and intuition.

Demand is unforecastable
Surgical schedules, trauma events, and seasonal disease cycles create unpredictable surges. Banks have no predictive layer — they react after shortages hit.
Inventory expires at scale
Red blood cells have a 42-day shelf life. Platelets, just 5 days. Without demand-matched allocation, banks routinely discard units worth thousands of dollars.
Donor retention is collapsing
Post-pandemic donor pools are thinning. Banks can't identify at-risk donors before they lapse, spending heavily on re-acquisition instead of retention.
Regulatory traceability is manual
FDA 21 CFR Part 606 and EU Blood Directive audits require full chain-of-custody. Generating these records currently takes days of manual effort per audit.
Blood supply chain gaps — today
38%
of collected units never reach a patient
Platelet discard rate31%
Emergency procurement cost62%
Manual compliance workload85%
Blood shortages
cost hospitals $3M–$8M per year in emergency emergency procurement and surgical delays

From raw data to
prescriptive action.

Corenth plugs into existing blood bank LIS and donor management systems. No rip-and-replace — just an intelligence layer on top.

01
Connect your data
Corenth integrates with existing LIS systems (Mediware, SoftBank, HCLL), EHR feeds, and donor databases via secure API connectors.
02
Models learn your patterns
Demand forecasting models train on 3+ years of transfusion history, surgical calendars, seasonal signals, and regional epidemiology.
03
Prescriptive alerts fire
Operations teams receive daily briefs: which units to redistribute, which donors to re-engage, which type inventory to prioritize for collection drives.
04
Audit trails auto-generate
Every unit movement is logged for full chain-of-custody. Regulatory reports are generated in one click, not one week.

Four modules.
One supply chain.

Each module works standalone or as a unified system across blood banks and plasma centers.

Inventory Intelligence

Expiry Minimisation Layer

Tracks every unit in real-time against forecasted demand, surfacing redistribution and issuing prioritization decisions that cut discard rates by up to 30%.

  • Unit-level shelf life countdown against demand forecast
  • Automated redistribution alerts across hospital and blood bank network
  • Issuing-order optimization by expiry and patient compatibility
  • Waste attribution reporting for quality teams
Donor Intelligence

Donor Retention Prediction

Identifies donors at risk of lapsing before they do, enabling proactive outreach campaigns and optimizing collection drive targeting for maximum yield per contact.

  • Lapse-risk scoring across entire donor registry
  • Segmented re-engagement campaign triggers
  • Collection drive geo-targeting by blood type scarcity
  • Lifetime donor value modeling for recruitment ROI
Compliance Automation

Regulatory Traceability Suite

Full chain-of-custody logging from donor identification through transfusion, generating FDA 21 CFR Part 606 and EU Blood Directive–compliant reports automatically.

  • Real-time chain-of-custody ledger per unit
  • One-click audit report generation for FDA, AABB, EU regulatory bodies
  • Adverse event traceability and donor lookback automation
  • Immutable audit trail with role-based access controls

The window is open.

Three convergent shifts are making this the only viable moment to build.

01
Post-pandemic donor collapse
COVID-19 permanently thinned donor pools. ARC and WHO both flagged chronic shortages. Blood banks are now actively investing in predictive systems to compensate for reduced supply buffers.
02
LIS systems are finally API-ready
Blood bank software modernization (Mediware, Soft Systems, Epic LIS) over 2019–2024 has created structured, accessible data layers. AI integration that was technically impossible 5 years ago is now straightforward.
03
Regulatory pressure is accelerating
FDA and EU regulators increased digital traceability requirements post-2021. Manual compliance is no longer acceptable. Automation is shifting from a "nice to have" to a license-to-operate requirement.

Built by someone
who refuses to accept
preventable failure.

RM
Rishi Maddi
Founder & CEO, Corenth
AI / ML Healthcare Systems Supply Chain Regulatory Tech

Every day a blood shortage occurs, the system has already failed.

Rishi Maddi founded Corenth after spending years studying how preventable operational failures cascade into patient harm. The blood supply chain is one of the most structurally critical — and operationally archaic — systems in modern healthcare. Virtually every major inefficiency in it is solvable with today's AI stack.

Rishi brings together deep expertise in machine learning, healthcare data infrastructure, and supply chain systems. His conviction is simple: the tools to eliminate blood shortages and expiry waste already exist. What's been missing is someone willing to build specifically for this domain, with the regulatory sensitivity and systems integration depth it demands.

"Blood banks are sitting on years of rich operational data. They just have no system to turn it into decisions. That's precisely what Corenth is built to be."

Corenth is being built with direct input from blood bank operations directors, transfusion medicine physicians, and compliance officers — ensuring every feature earns its place in a high-stakes clinical workflow.

$1B+
annual waste Corenth
is targeting to eliminate
4
platform modules
in active development
2025
founding year,
first pilots underway

A billion-dollar problem
with a zero-AI solution set.

The blood bank software market is growing at 8.5% CAGR — but legacy vendors still dominate with workflow tools, not intelligence.

Total addressable market
$1.08B
Blood bank information systems market by 2028, growing at 8.5% CAGR
Blood bank software market
$385M
Global blood bank management software in 2025, with minimal AI-native penetration
Emergency procurement waste
$3–8M
Lost per hospital system annually to blood shortage emergency procurement costs
Plasma center market
$843M
Automated blood bank system market in 2024, extending Corenth's addressable reach into plasma
Annual blood units collected (US)
13M+
Units collected annually in the US alone, with ~38% never reaching a patient due to expiry or misallocation
AI penetration in blood supply
~0%
AI-native intelligence platforms purpose-built for blood bank and plasma center operations. The category is open.

Ready to stop losing
blood to the system?

Corenth is accepting a limited cohort of pilot partners in 2025. Blood banks and plasma centers with 50,000+ annual units collected are invited to apply.