Healthcare Intelligence, Built DifferentlyEvery Healthcare Insight in One Platform
Most organizations run healthcare analytics on intelligence that’s too slow to act on and too hard to fully stand behind. Not because their teams aren’t good enough. Because the tools were never built for this. Komodo was. Complete real-world data, AI validated across a million healthcare analyses, and workflows built around how you actually work.
We Don’t Sell AI, We Replace the Workflows That Are Slowing Everything Down
Data you can’t verify. AI that isn’t built for healthcare. Workflows that force you to adapt. We built a different architecture to eliminate all three.
The Data FoundationThe Healthcare Map: Ground Truth for AI
1 trillion+ linked records. 330 million+ de-identified patient journeys. Built over a decade from 60+ sources, refreshed daily. This is the most complete U.S. healthcare data foundation ever assembled: characterized, normalized, deduplicated, certified, and analysis-ready before a single question reaches Marmot. The data that makes every answer defensible.
The AI PlatformMarmot: Built for Healthcare Analytics
Most AI tools are built first, then pointed at healthcare. Marmot started from the healthcare problem and worked backward. A million healthcare analyses underpin the validated methods behind every output. Every answer comes with auditable methodology and quantified confidence metrics. Not just an answer. Proof that the answer is right.
The ExperienceKomodo Home: The Interface to Insights
Komodo Home is where your team’s intelligence lives. Whatever your team’s working style, there’s a way to work. Ask any healthcare question. Use purpose-built apps for targeting, HCP discovery, and opportunity alerts. Build custom agents for workflows only your team runs. Connect your own tools. Every surface draws from the Healthcare Map and runs on Marmot.
The Foundation Behind Every Answer
The real-world data and AI infrastructure no healthcare analytics platform has matched.
How Komodo Works for Your Team
Commercial
The commercial analytics cycle has run the same way for years. Submit a request. Wait two weeks. Receive a report built on data that’s already stale. Komodo changes every step. Ask in plain language. Get a verified answer in minutes. For more structured outputs and workflows, applications and custom agents are built for the way your team works every day. Teams stop waiting for intelligence and start acting on it.
HEOR/RWE
HEOR workflows are built around rigor. Komodo is built to match it. Ask a question in plain language. Marmot constructs the cohort, applies validated methods, and returns auditable outputs with full methodology and reproducible code your team can validate directly. Run feasibility analyses fast enough to decide before you commit. Your team spends less time building the analysis and more time doing something only they can do with it.
Medical Affairs
KOL identification takes weeks of manual profiling. Patient journey gaps require custom analyses. MSL strategy gets built on incomplete pictures. Komodo changes each of these workflows. Identify the physicians actually influencing prescribing behavior in your disease area. Understand patient journeys from diagnosis through treatment gaps in a single session. Your MSL team walks into every conversation with evidence nobody else has.
Clinical Development
In clinical development, the cost of incomplete data isn’t measured in hours. It’s measured in trial design decisions that can’t be undone. Komodo changes what’s possible before those decisions get made. Size patient populations and model control arms against real-world treatment patterns. Assess site feasibility based on actual patient concentration. What used to take months happens in a single session.
Ask the Questions You Stopped Asking
Resources for teams evaluating healthcare AI platforms and real-world data analytics.
4 Steps for Evaluating AI Reliability in Life Sciences
Healthcare AI reliability is a system property. The four criteria to apply before building workflows on any AI platform, including this one.
A Guide to Healthcare AI Adoption
What separates teams that get lasting value from healthcare AI from those that don’t. The data requirements and validation standards that determine the difference.
Benchmarking Marmot Against Foundational Model
Domain-specific healthcare AI and general-purpose models are not the same. The difference on real analytical questions against Life Sciences standards.
Gone Are the Analyst Bottleneck, the Dashboard Queue, and the Consulting Dependency
Walk through a live healthcare analytics workflow with one of our experts, built around your therapeutic area, your questions, and your team’s specific use cases. See what your organization becomes when the intelligence is right and there are no more questions you can’t ask.