Transparent, Accountable Allocation at National Scale

A jurisdictional transplant network is not a bigger transplant center — it's a different problem entirely. Thousands of concurrent match runs. Hundreds or even thousands of policies that change as clinical evidence evolves. Equity requirements that span geographies and demographics. Offers that must move in minutes, not hours. Afflo is the only allocation platform built specifically for this layer of transplantation: the network itself.

Afflo’s model is built on centralized intelligence through its Afflo Central Hub, which connects transplant centers (TXCs) into a unified operational network. Rather than each center managing coordination independently, the Central Hub aggregates real-time data, standardizes workflows, and orchestrates decision-making across all sites.

Transplant systems involve a wide range of stakeholders—clinicians, coordinators, policymakers, OPOs, regulators, and patients—each with different priorities and perspectives. Afflo provides a shared operational foundation that brings these groups into alignment around a single, transparent view of how allocation decisions are made.

Align stakeholders across the transplant network

Allocation Infrastructure Built for Scale

Afflo is purpose-built for the network layer of transplantation, where complexity increases with every additional center, organ type, and policy dimension. It brings together matching logic, policy configuration, immunologic precision, and offer coordination into a unified operational system designed to perform under real-world conditions. The platform supports high-volume matching and live offer execution without compromising on transparency or control. Policy changes can be introduced and managed independently of operational workflows, allowing networks to evolve without disrupting critical processes.

Fewer Non-Productive Offers, Faster Offer Completion

Afflo reduces non-productive offers by improving match quality before an offer is sent. The allocation engine applies clinical, operational, and policy-specific constraints to produce offers with higher relevance and complete context from the outset.

Networks using Afflo can:

Reduce offer churn and unnecessary declines

Run parallel, automated offer cycles across channels

Deliver complete context earlier to decision-makers

Keep organs moving when primary offers are declined

The result: faster decisions and better utilization across the network.

Allocation policies evolve as clinical evidence grows. Afflo's Policy Management Workbench lets jurisdictional teams configure, update, and govern matching logic directly, without heavy IT involvement. Afflo supports:

Policy Management Designed for Continuous Evolution

Continuous Distribution Frameworks

Afflo’s framework supports dynamic weighting and transparent scoring, making it easier to adapt as evidence evolves. Jurisdictions can refine how candidates are prioritized without re-architecting the system, ensuring that allocation remains both fair and clinically relevant over time.

Category-based and hybrid ranking models

Not all allocation systems can—or should—move to a single model overnight. Afflo supports traditional category-based frameworks alongside more flexible ranking approaches, allowing organizations to operate in a hybrid state as policies evolve.

Center-specific and geography-specific rollout strategies

Afflo enables targeted rollout strategies that account for regional differences, center readiness, and operational constraints. Jurisdictions can pilot new allocation logic in specific regions or centers, validate outcomes, and expand with confidence.

Incremental adoption by organ type or phase

Allocation policies often evolve differently across organ types, each with its own clinical considerations and stakeholder groups. Organizations can deploy new logic for a single organ program, evaluate performance, and iterate before broader adoption. This staged approach accelerates innovation while maintaining operational stability.

Networks can evolve allocation policy at the pace of clinical evidence—without sacrificing transparency, control, or accountability.

Policy Management Designed for Continuous Evolution

High-Resolution Matching That Expands Access

Afflo's virtual crossmatch engine operates at high immunologic resolution, including:

Allele-specific typing
Alpha-beta HLA interpretation
Epitope and eplet-level policy support
Highly sensitized patient optimization

This precision improves match confidence, reduces unexpected positive crossmatches, and expands access for harder-to-place patients.

For distance placements, high-resolution VXM is especially critical, reducing discards and negative outcomes where time and travel amplify risk.

Simulate Policy Changes Before They Go Live

Afflo enables transplant networks to evaluate policy changes in a controlled environment before they impact real patients and operations. Instead of relying on assumptions or limited pilots, teams can model how new allocation logic will behave under real-world conditions using historical and live data.

Policy Forge

Design, refine, and govern allocation logic in a structured and transparent way. Policy Forge provides a controlled environment where jurisdictional teams can manage exclusion criteria, ranking rules, and decline pathways without introducing operational risk.

Changes can be versioned, reviewed, and tested before release, ensuring full traceability and alignment with clinical intent. By separating policy configuration from system deployment, organizations can evolve allocation logic quickly while maintaining stability in day-to-day operations.

Policy Time Machine

Policy Time Machine allows jurisdictions to simulate how organs would have been offered and accepted under new rules, providing a clear view into expected outcomes.

This includes identifying shifts in access across patient groups, changes in geographic distribution, and potential unintended consequences. By quantifying impact before implementation, networks can make informed decisions, adjust parameters, and move forward with confidence.

Audit-Ready Documentation and Governance

Afflo captures allocation logic and policy configuration in a structured, documentation-ready format. Rule tracking and data dictionaries support:

Audit readiness and regulatory compliance
Transparent governance across jurisdictions
Knowledge transfer and operational continuity
Continuous improvement without losing accountability

Network Effects That Strengthen Every Center

Afflo gives networks something they have historically lacked: shared operational learning at scale. Consistent workflows, shared allocation infrastructure, and real-time visibility help networks operationalize best practices across every center. Networks gain: