Healthcare
Faster trials. Safer submissions.
Revenue you're not leaving uncaptured.
The Challenge
Healthcare and pharma lose billions annually to manual compliance, missed coding revenue and clinical trial inefficiencies.
The Solutions
LLM Pharmacovigilance Agent
60-80% faster case processing. Improved compliance. Better safety signal detection at scale.
Pain Point
Pharmacovigilance teams manually review adverse event reports from multiple global sources - narratives, emails, literature. Case processing takes days. Volume is growing. Regulatory submission windows are fixed.
Our Solution
An LLM-powered PV agent reads incoming adverse event narratives, extracts structured case data, maps to MedDRA codes and generates CIOMS/E2B(R3)-ready draft reports - with human reviewer approval as the final set up.
Impact
Regulatory Submission Agent
50% to 70% faster preparation. Lower per-submission cost. Fewer deficiency letters.
Pain Point
Regulatory submissions - CTDs, INDs, NDAs, MAAs - require months of manual document preparation, inconsistent formatting across contributors, and high rates of deficiency letters from agencies.
Our Solution
An agentic system orchestrates the preparation of regulatory documents by extracting data from CSRs and SAPs, cross-referencing prior approved submissions, applying eCTD formatting and checking compliance against agency guidance - with LLM-assisted narrative drafting.
Impact
Clinical Trial Operations Agent
30% to 40% reduction in enrolment timelines. 15% to 25% trial cost reduction. Fewer protocol deviations.
Pain Point
Clinical trial operations teams manage complex, multi-site enrolment manually - identifying sites, screening patients against eligibility criteria, tracking protocol deviations and managing data queries through fragmented systems.
Our Solution
An AI operations agent automates patient screening against eligibility criteria, generates personalised outreach for recruitment, monitors enrolment velocity against targets and flags protocol deviations - across all trial sites simultaneously.
Impact
Medical Coding & Revenue Cycle Management
92% to 96% coding accuracy. 3% to 8% revenue uplift. 40% to 60% reduction in coding backlog.
Pain Point
Medical coding of clinical notes to ICD-10/CPT is done manually by certified coders - creating backlogs, coding inconsistencies, revenue cycle delays and significant claim denial rates.
Our Solution
An LLM coding agent reads clinical documentation, assigns ICD-10 and CPT codes with confidence scores, flags ambiguous cases for human review and integrates directly with RCM billing systems - closing the loop from encounter to reimbursement.
Impact
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