Pharma Specialist Intelligence
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The AI that reasons like your best pharmacist.

Not a chatbot. Not a lookup engine.
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A specialist intelligence that catches the errors current systems miss.
That gets smarter with every decision your pharmacists make.
Where knowledge meets continuity.
Stop solving the same problem twice.
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THE PROBLEM

Pharmacy AI is stuck between two broken options.

Legacy Alert Systems
Pairwise drug interaction alerts with no patient context. Pharmacists override 90% of alerts. 196,600 ADEs annually from inappropriate overrides alone. Alert fatigue has made safety systems actively dangerous.
General LLMs
Score 86% on pharmacy exams. Fail on 86% of real clinical reasoning tasks (NHS 2025). Hallucinate drug compositions. Cannot access patient data. No safety guarantees. Confident whether right or wrong.
LLM vs SPECIALIST INTELLIGENCE

Same question. Different intelligence.

Compare what a general LLM produces vs. Kova's pharmacy specialist intelligence on real clinical questions.

Scenario 1Scenario 2Scenario 3
CLINICAL SCENARIO
DOAC dose check for CKD patient
GENERAL LLM
Apixaban may need dose adjustment in renal impairment. The standard dose is 5mg twice daily, reduced to 2.5mg if criteria met. Consult prescriber about renal dosing.
✗Cannot compute patient-specific CrCl
✗Does not distinguish eGFR vs Cockcroft-Gault
✗No access to patient labs or medication list
✗No confidence score
✗No source citations
KOVA SPECIALIST INTELLIGENCE
CrCl via Cockcroft-Gault: 19.5 mL/min. Patient meets 2 of 3 dose-reduction criteria (weight 54kg, SCr 185). Prescribed 5mg BD is INCORRECT - reduce to 2.5mg BD. Alert: eGFR (22) overestimates function vs CrCl (19.5) in this low-muscle-mass patient.
✓Patient-specific CrCl from FHIR labs
✓Correct equation (CG, not eGFR)
✓2-of-3 criteria evaluated against actual values
✓92% confidence (deterministic criteria)
✓Sources: DrugBank, AHA/ACC 2020, FHIR labs
TWIN FABRIC

One pharmacist. Six specialist minds.

When a case exceeds single-domain complexity, the Pharmacist Twin convenes an Expert Panel. Each twin reasons independently. The Lead Twin synthesises a unified action plan with priorities, owners, and deadlines.

PharmaTwin
Clinical reasoning, dose checks, interaction analysis
ClinPharmTwin
CYP450, PK/PD, pharmacogenomics
OncoTwin
Chemo protocols, guideline bias, tumor dosing
LegalTwin
Duty of care, liability, case precedent
RegTwin
TGA/FDA compliance, PBS authorities
PatientAdvTwin
Health literacy, equity, support services
THE COMPOUNDING MOAT

Every decision makes the next one better.

Consumer platforms built trillion-dollar empires by compounding behavioral traces. Enterprise software never had an equivalent loop. Kova builds it for pharmacy: every clinical decision becomes a structured signal that compounds into institutional intelligence.

The Decision Loop
Twin Proposes
PharmaTwin recommends apixaban 5mg BD based on published guidelines and patient age.
Pharmacist Modifies
Pharmacist reduces to 2.5mg BD. Notes: 54kg patient, SCr 185 - CrCl by CG is 19.5.
Decision Trace Captured
The gap between proposal and modification becomes a structured signal.
Outcome Linked
3 months later: no bleeding events, stable renal function. Decision validated by outcome.
Graph Compounds
Next similar patient: system already knows pharmacists reduce 94% of the time. Recommendation updates automatically.
Clinical Context Graph
How your pharmacy handles drug interactions and clinical edge cases - learned from actual decisions.
14,392
nodes
Patient Context Graph
Longitudinal medication history, prior ADRs, adherence patterns, and therapeutic outcomes.
8,432
nodes
Institutional Context Graph
Prescriber patterns, formulary preferences, and practice norms specific to your network.
2,847
nodes
Capabilities no one else has built

Beyond current Pharmacy AI.

Real-time signal detection

Detect ADR patterns from dispensing data before they appear in FAERS or TGA reports. No pharmacy system does this at community level.

Guideline bias detection

Flag when your patient falls outside the trial population that established their dosing.

Workload safety layer

Predict when error risk is elevated before errors occur. More checks when risk is high, streamlined when low.

Novel pathway generation

When standard drugs fail, reason through mechanism of action to find alternatives via different therapeutic pathways.

ARCHITECTURE

Neuro-symbolic. Not just neural.

The neural layer handles reasoning. The symbolic layer enforces safety rules that cannot be overridden. The knowledge layer provides real-time data. All three operate simultaneously.

NEURAL LAYER
Fine-tuned pharmacy LLM (Liquid AI LFM2 or Meditron). RAG over drug monographs. GraphRAG over PharMeBINet knowledge graph. Chain-of-thought clinical reasoning.
SYMBOLIC LAYER
Deterministic safety rules in CQL. Max dose ceilings. Absolute contraindications. Mandatory monitoring thresholds. Methotrexate weekly-only for non-oncology. Cannot be overridden by neural output.
KNOWLEDGE LAYER
RxNorm. DrugBank. OpenFDA. PharMeBINet (15.9M edges). Patient records via FHIR R4. Clinical guidelines. TGA/FDA real-time alerts. Context graph (decision memory).
31 FUNCTIONS ACROSS 5 CATEGORIES

Everything a pharmacist twin needs to do.

Every function listed is technically buildable with verified tools and databases. Click any category to see what is inside.

8
Prescription Processing
E-Rx parsing, drug interactions (multi-drug, not pairwise), dose verification (CrCl/Child-Pugh), allergy and contraindication checks, LASA detection, therapeutic duplication, fraud detection, compounding calculations
7
Admin and Insurance
Insurance claim adjudication (~200 rejections/day), prior auth automation, PBS authority processing, email/fax processing with clinical NER, inventory forecasting, compliance monitoring, reporting dashboards
6
Patient Care
Patient counseling generation (literacy-adjusted, multilingual), medication therapy management (MTM), med sync, adherence monitoring with barrier ID, evidence-based Q and A, vaccination screening
5
Clinical Intelligence
Prescriber intervention letters, drug information service (PubMed RAG + GRADE), aged care medication review (Beers/STOPP/START), clinical guideline navigation, pharmacogenomics interpretation
5
WOW - Beyond Current
Real-time pharmacovigilance signal detection, guideline bias / population gap analysis, novel therapeutic pathway generation, predictive workload safety system, cross-patient pattern discovery
26 standard functions use proven APIs and databases. 5 WOW functions push into frontier territory grounded in published research.

For Pharmacists who refuse to accept alert fatigue and normal.

31 functions. 6 specialist twins. 5 capabilities no one else has built. A compounding decision loop that makes the system smarter with every interaction.
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