next generation atmp operational excellence platform

Your science is cutting edge. Your operations should be too.


Every patient journey creates dependencies across scheduling, manufacturing, materials, QC, release, logistics, capacity and cost. And multiple stakeholders. A change in one area rarely stays there. Multiply this by 10.000.

Are you ready to manage it?

RADIX | HELIX connects ALL dependencies into one shared operational picture — so teams can the impact in context across the brain to vein lifecycle. Manage patient journeys, orchestrate supply and batch manufacturing scheduling, leverage in process and QC manufacturing data and run what if scenario planning for impact on COGS and business economics. All in one operational intelligence layer.


THE PLATFORM

True operational value chain planning.

Three connected layers. One operational foundation.

operational CONTROL TOWER

See and coordinate the case.

Connect patient timelines, manufacturing slots, capacity, materials, chain of identity and custody, quality release and operational scenarios.

MANUFACTURING INTELLIGENCE

Anticipate what happens next.

Turn in-process and QC signals into earlier insight on harvest, release timing, suite occupancy and downstream operational impact.

ECONOMICS & IBP

Align operations with the business.

Connect demand, capacity, cost, yield, network choices and commercial assumptions using a shared scenario-planning foundation.

operational CONTROL TOWER

Six connected operational areas.

Coordinate the patient journey, manufacturing capacity and materials management. Monitor and trend impact for batch release. All from one operational cockpit.

01 Planner & capacity

Suite Gantt across sites and CDMOs — slots, load and bottlenecks at a glance.

02 Case management

Chain of identity and custody from enrolment to infusion, time-stamped and append-only.

03 Materials & MRP

Lot inventory, automatic MRP and expiry heatmap with shortfalls flagged in advance.

04 QA/QC release

Release board with TAT-vs-SLA clocks, dual e-signature and a tamper-evident audit trail.

05 Executive view

Throughput, on-time performance and capacity by site — the operational read for leadership.

06 Operational scenarios

Cohort surge, CDMO outage, material constraint — see the impact and reset to baseline.

MANUFACTURING INTELLIGENCE

Turn signals into operational foresight.

In-process and QC data can tell you more than how a batch is performing. RADIX | HELIX translates those signals into their potential impact on harvest, release, suite occupancy, downstream scheduling and cost.


Manufacturing intelligence

In-process and QC data turned into early warnings for harvest, release timing and suite occupancy, carried into the Planner and the QA board.

Batch release forecasting

Every release test on a timeline, the critical path highlighted, and a predicted release date that updates as results arrive.

Operational knock-on

Predicted extra suite days and moved slots shown in the Planner; forecast release dates shown on the QA board.

Cost & scenario impact

Extra culture days, retests and out-of-spec risk costed per batch and available as an IBP scenario and commercial margin erosion.

ECONOMICS & IBP

Bringing IBP principles to advanced therapies.

Advanced therapies need the discipline of Integrated Business Planning — adapted to patient-specific demand, constrained manufacturing networks and complex release pathways.

RADIX | HELIX connects demand, supply, capacity, manufacturing data, cost and commercial economics on the same operational platform.

From individual patient execution to five-year network planning decisions.

Demand & supply

Patient demand by product and market against network capacity, utilisation, slot overflow and unserved patients scenario planning.

COGS build up & case economics

Standard cost per batch by product and site — fixed versus variable, tracked per patient case and aggregated versus budget.

Scenario planning

Demand, price, cost, yield and network levers compared side by side, including automation, new suites and market entry.

Business performance

Monthly and yearly budget vs actuals and latest estimate tracking linked to gross margin targets and scenario planning against COGS erosion. Reimbursement models and long term revenue tracking.

THE RADIX partners DIFFERENCE

Built from ATMP operational value chain experience.

RADIX | HELIX is not technology looking for an advanced-therapy problem. Nor is another software provider. It's technology shaped by Radix Partners' hands-on SME experience across the ATMP operational value chain — spanning patient journey, clinical operations, manufacturing, supply planning, quality, CDMOs, scale-up and commercial readiness. We start with the operating model and the decisions teams need to make — then apply technology.

PEOPLE

ATMP subject-matter expertise grounded in real operational challenges.

Our team has worked inside the problems RADIX | HELIX is designed to solve.

PROCESS

Connected operating models, cross-functional planning and IBP principles adapted for advanced therapies.

We design the operating model first, then configure RADIX | HELIX to support it.

TECHNOLOGY

A digital intelligence layer connecting events, data and decisions across the lifecycle.

RADIX | HELIX surfaces the right information to the right person at the right moment.

THE PILOT

Start focused. Prove value. Continue.

A focused RADIX | HELIX pilot is designed to demonstrate value against your own processes, operational data and priorities — without requiring a large-scale technology programme.


Discuss a radix | HELIX pilotExplore the live prototype

info@radix.technology

PARTNERSHIPS & INNOVATION

We're open to explore integration and innovation partnerships with industry catapults, CDMOs, logistics providers, technology vendors and organisations working to scale advanced therapies.

Explore partnership opportunities → info@radix.technology


Radix Technology · An initiative from Radix Partners

The RADIX | HELIX prototype uses synthetic demonstration data and is not a validated GxP system. Pilot deployments are configured according to intended use and agreed validation scope.