Transform Healthcare Evidence - at Agent Speed.
100+ years of HEOR expertise × governed Agentic AI = regulator‑ready insights in ≤ 30 days.
Ready to see agentic speed?
Why We Exist (Problem/Tension)
Evidence requirements are soaring, yet traditional HEOR/Access workflows can’t keep pace.
HEOR and market-access teams still lose up to 60 % of their week to manual, low-value chores while most AI pilots stall in compliance limbo.
Our agentic ecosystem removes both bottlenecks, delivering transparent, audit-ready automation instead of black-box risk.
Who Are We?
Deep Domain + AI Engineering

HEOR Scientists
With cumulative 100+ years of experience in HEOR, real-world evidence, and market access, our HEOR scientists shape every AI agent’s logic and outputs. Their deep domain expertise ensures that AI delivers not just speed but scientifically valid, regulator-ready insights you can trust.
AI Engineers
Our AI engineers specialize in building healthcare-safe AI systems. From prompt libraries to bias detection and audit trails, they embed responsibility into every layer. Their role ensures that every model scales securely, explains itself clearly, and supports; not replaces expert decision-making. Knitting AI with HEOR is an art we are mastering in the new world.


Cross-functional Pods
We embed domain and tech talent in agile pods: HEOR scientists, AI engineers, and solution designers working side-by-side. This integrated model means we build faster, align better, and ensure that every agent reflects both the complexity of healthcare and the guardrails of responsible AI.
Responsible AI
Governed from Day 1
True governance refrains from using jargon such as ‘Black Box’, ‘Cannot be explained’ & believes in taking onus to monitor performance, identify gaps & rectify the machine. That is the reason that strategizing & articulating human intervention at right places in the right time while working with AI is a serious discipline.
Transparent & Auditable
AI is not just about mimicking humans, rather reasoning like humans. Humans are complex and a human like complexity requires transparency and systematic validation and audit mechanism to ensure preferred behaviour.
Regulation-ready
In Healthcare a regulation-ready AI is inevitable. AI systems must meet stringent standards for safety, transparency, and efficacy, complying with evolving regulatory frameworks. All ConnectHEOR applications are curated with utmost priority to secure and compliant architecture
AI Ecosystem
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100 + pre‑built PoCs ready to deploy
How We Deliver
30‑Day Proof‑of‑Concept
Tell us a challenge that is not yet solved, and we shall produce a working proof of how you can tackle the challenge using our latest AI developments
Therapeutic Suite Roll‑out (3‑6 mo)
Get on a journey with us to curate something revolutionary with scalable and agile tech infrastructure which you can roll-out to your customers or implement company-wide to 10x your performance
Centre‑of‑Excellence Partnership (multi‑year)
Join hands to become the market pioneers in top-class AI driven research in healthcare. Dive early into futuristic research ideas around big-data, Reasoning Models, Quantum-AI etc.
Learn with Us (Flagship Course)
Generative & Agentic AI for HEOR Professionals
Cohort #1 Q3 2025 (20 seats).
Hands-on, no-fluff course built by HEOR experts and data scientists from consulting and industry—specifically for health economics professionals who want to stay ahead in a rapidly evolving landscape.
Learn how to use Gen‑AI and agentic tools to automate evidence synthesis, generate smarter reports, and build mini-AI assistants tailored to your daily HEOR workflows. Walk away with ready-to-use templates, prompt libraries, and live workflows that you can plug into your projects. Limited to just 20 seats – join the waitlist now and future-proof your HEOR skillset.
AI Resources Hub
Shijie Ren, Sa Ren, Nicky J. Welton, Mark Strong
Srivastava T, Prabhu V, Li H, Xu R, Zarabi N, Zhong Y, Pellissier J, Perini R, Ronald de Wit, Mamtani R
Tobias Sydendal Grand, Shijie Ren, James Hall, Daniel Oudin Åström, Stephane Regnier, Praveen Thokala
Fatin Izzati Ramli, Praveen Thokala, Thaison Tong, Karla Unger-Saldaña
Hu X, Cristino J, Gautam R, Mehta R, Amari D, Heo J, Wang S, Wong N
Responsible AI
Industry Proof (AI Research & Talks)
ISPOR Atlanta 2024
1 Podium Presentation
4 Posters
05
2024
HTAi 2024
1 Presentation
15
2024
ISPOR EU 2024
7 Posters
18
2024
ISPOR Montreal 2025
5 working Agents
13
2025
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