Problems In, Pilots Out: AI That Regulated Life Sciences Can Trust
We bring AI, data and health-tech companies the validated problems, domain design and buyer access they need to win in GCC life sciences. Navi brings the problem and the doors; the AI partner brings the engine.
Six AI Use Cases Ready to Pilot in the GCC
Each use case has a real problem, a named buyer, a measurable pilot and a regulatory story.
Safety Signal & Claims Integrity
Problem. Safety teams and payers drown in rule-based alerts. Most are false positives, and real risk hides in the noise.
AI solution. ML-tuned pharmacovigilance signals, fraud, waste and abuse scoring on specialty-drug claims, and risk-based trial monitoring.
Bilingual Medical Information & Patient Services
Problem. Affiliates run Arabic/English med-info and patient lines manually. Adverse events slip through, and cost grows with every launch.
AI solution. 24/7 Arabic/English med-info with AE intake, plus patient-support onboarding, adherence and access.
Competitive & Commercial Intelligence Copilot
Problem. CI and BD teams spend more time collecting than deciding, and landscape updates lag trial readouts and deals.
AI solution. Always-on pipeline, trial and deal monitoring with analyst-validated briefs and early-warning alerts.
Trial Feasibility & Site Intelligence
Problem. Most trials miss enrolment timelines, and GCC sites lack the benchmarks needed to win global sponsor studies.
AI solution. Feasibility models from registry and site data, with site ranking, recruitment forecasting and early-warning alerts.
GxP Data Migration & Validation
Problem. Localisation and digitisation force regulated data moves. One failed migration can stall an inspection or a launch.
AI solution. AI-assisted mapping and reconciliation for safety, CTMS, EDC, eTMF, LIMS and QMS data, plus onboarding to Malaffi, NABIDH and Riayati.
Supply-Chain Trust & Chain of Identity
Problem. Counterfeits, fragmented serialisation and cell-therapy chain-of-identity gaps are patient-safety risks.
AI solution. Track-and-trace aligned with Tatmeen (UAE) and RSD (KSA), CAR-T chain of identity and custody, and diversion anomaly alerts.
One Joint Engine, From Validated Problem to Recurring Revenue
A repeatable motion that takes an AI company into life sciences, UAE first, then KSA, Oman and beyond.
Source
Validated problem statements from pharma affiliates, hospitals, payers and regulators, each sized, prioritised and tied to a named buyer.
Co-Solution
Navi designs workflows, GxP and data-residency guardrails and success KPIs; the AI partner configures and engineers the platform.
Pilot
Design-partner pilots with an ROI model and a regulatory sign-off path, with clinical, safety and KOL stakeholders aligned.
Scale
GCC rollout through tenders, CRO, distributor and SI channels and reference sites.
A live problem pipeline · regulator, payer and pharma access · CAR-T and advanced-therapy depth · CI, market sizing and deal structuring
Proven AI, data and automation engines · a responsible-AI framework · engineering and managed services at enterprise scale
Choose the Depth of Partnership
Strategic GTM Partner
Navi runs life sciences BD, pipeline and proposals alongside your team.
Use-Case Co-Development
Navi shapes 2–3 use cases into pilot-ready propositions with ROI models.
Fractional Head of Life Sciences
Dr. Singh embedded as senior lead for life sciences BD, GTM and product ideation.
Building AI for Healthcare or Pharma?
Let's find the problem, the buyer and the pilot that open the GCC for you.