Loon builds the neurosymbolic Loon AI® infrastructure for drug reimbursement, value demonstration, pricing strategy, and payer negotiation to accelerate therapy access.

Our peer-reviewed, independently validated Loon AI® delivers a reasoning core with mathematical rules and deterministic validation layers to ensure scientific confidence calibration — systems that quantify certainty, flag ambiguity, and route uncertain decisions to expert review.

Loon Lens™
AI-powered validated systematic literature reviews (SLR, LSR®) requiring no pre-training or fine-tuning. Confidence-routing directs ~5% of outputs for human adjudication — shifting workflows from exhaustive human-in-the-loop screening to targeted human-at-the-helm oversight.

Literature screening
‣ 99.2% precision in study classification
‣ 99.0% sensitivity
‣ 99.1% specificity
‣ 89.9% precision

Data extraction
‣ 98% accuracy benchmarked against CDA-AMC reports

Loon Waters™
HTA committee and conditions simulation validated prospectively on temporally separated data after training cutoff. Predicts reimbursement conditions at 96.8% precision and committee recommendations at 93.2% accuracy. Sponsors can now map the decision space and prepare strategic responses before deliberation, shifting market access planning from a reactive one-shot approach to an anticipatory, iterative process that strengthens evidence packages and improves reimbursement outcomes.

We serve pharmaceutical and biotech companies, HTA bodies, CROs, policymakers, and market access consultancies across the evidence-to-reimbursement pipeline: evidence synthesis, HEOR strategy, JCAs, HTA submission support, value dossier development, pricing and reimbursement strategy, and payer negotiation.

Our team integrates HEOR expertise with direct HTA committee leadership experience. Our strategic, procedural, and evidentiary intelligence originates from former committee chairs, ensuring predictions reflect real-world deliberative dynamics.

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