Patient safety
Drug interaction check
Prescribed medications → interaction scan against RxNorm → flags contraindications with severity.
↓ missed interaction rate 34%
We build domain-tuned medical large language models grounded in your clinical content, with clinician-in-the-loop review and compliance guardrails that support high-stakes decisions without replacing professional judgment.
Domain-tuned LLMs that support clinical decisions while keeping a clinician in the loop.
We select models tuned on de-identified clinical data - MedLLM-class models, Meditron, clinical variants of Llama - grounded on SNOMED CT, RxNorm, ICD-10/11 and your institution's formulary. The model knows the ontology, coding conventions and terminology your clinicians use.
BAA signed before the first API call. PHI handling documented in the system design. Audit logs for every clinical output - model version, prompt, output, confidence score, clinician action. Your compliance and legal teams review the architecture before we write any application code.
Confidence thresholds, not just guardrails. Below the threshold, the output enters a clinician review queue with the model's reasoning, evidence citations and confidence score visible. The clinician approves, modifies or overrides - and every decision is logged.
Ungrounded models invent clinical facts; we ground every answer in your content.
Whoever owns clinical safety: we build grounded, guardrailed, auditable models.
Clinical summaries, coding support, and decision support running live and reviewed.
Prescribed medications → interaction scan against RxNorm → flags contraindications with severity.
Reads patient-reported symptoms, history, meds. Suggests triage category. Flags red flags for immediate review.
Physician dictation → SOAP note structure → ICD-10 suggestion → EHR field population.
Clinical notes + payer criteria → PA letter with evidence citations. Flags likely denials.
Patient record → structured discharge summary with medications, follow-up, red flags.
Clinical notes → ICD-10/CPT code suggestions with confidence score and supporting text.
Patient data → evidence-based treatment pathway suggestion with cited guidelines. Explicitly advisory.
Symptom checker with clinical ontology grounding. Recommends urgency level and next step.
Patient profile → eligible trial matching against inclusion/exclusion criteria.
Clinical workflow mapping with your physicians and ops team. PHI audit. BAA signed. Compliance architecture documented. Eval suite scope agreed with clinical reviewers.
Model benchmarking on your clinical tasks. Eval suite built with de-identified data, reviewed by practising clinicians.
Production build: domain-tuned model, SNOMED/RxNorm/ICD grounding, confidence thresholds, clinician review queue, audit logs, EHR integration.
Soft launch with clinical oversight. Daily review of model outputs. Prompt and threshold tuning. Governance review. Runbooks.
The grounding, guardrail, and review stack that keeps medical LLMs safe.
Live, grounded models supporting high-stakes decisions with clinician review.
Deep teams with industry context - not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.
Telemedicine, EHR/EMR, claims automation, clinical decision support. HIPAA, HL7/FHIR, GDPR. Active partnerships with 14 hospital networks.
Core banking, neobank, payments, lending, KYC, fraud. PCI DSS, RBI sandbox, Open Banking, ISO 20022. We've shipped to Tier-1 banks in 4 countries.
Headless commerce, marketplace, omnichannel, AR try-on, AI recommendations. Shopify Plus, BigCommerce, custom. 22+ storefronts live with avg +34% AOV.
Last-mile optimisation, TMS, WMS, fleet IoT, route prediction, real-time tracking. Shipped to UPS, Alod and 11 other logistics operators.
OTT platforms, content recommendation, real-time encoding, multi-DRM, distribution at network scale. Sony Pictures, Hello Baby Direct and more.
LMS, adaptive learning, AI tutors, government portals. Shipped UKIERI for the British Council and 6 state-government education portals.
Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.
We constantly come up with top-tier resources and breathtaking
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Medical LLMs are advanced AI models trained on vast medical data to assist in diagnostics, research, and patient communication, enhancing care precision and efficiency.
By analyzing clinical notes, imaging data, and patient history, our LLMs provide evidence-backed recommendations, helping clinicians make better-informed decisions.
Yes, we fine-tune base models using your proprietary data and clinical workflows, creating highly specialized AI tools that understand your unique context accurately.
Our models handle text, images (e.g., scans), audio, and multimodal data, extracting insights and generating summaries to support diverse clinical tasks.
Yes, we build API and data pipeline integrations with EHRs, PACS, LIS, and other hospital systems to ensure seamless workflow automation.
Deployment times vary, but we prioritize rapid prototyping through proof-of-concept models, followed by iterative refinement toward full production.
Absolutely, our cloud-native and on-premises options support high-volume processing with reliability and performance for enterprise-scale use.
Our AI tools support natural language patient education, personalized engagement, and clinical documentation enhancement.
Challenges include ensuring accuracy, interpretability, minimizing bias, and rigorous validation to maintain patient safety.
Visit our website or contact our sales team directly to schedule a discovery call and receive a tailored proposal and pricing.
