Truveta Intelligence
Ask clinical data questions in plain English. Query real-world patient data from one of the largest U.S. clinical datasets and get structured answers in minutes, not months.
Try Truveta Intelligence →
Ask clinical data questions in plain English. Query real-world patient data from one of the largest U.S. clinical datasets and get structured answers in minutes, not months.
Try Truveta Intelligence →
Truveta Intelligence is built for healthcare researchers, pharma strategists, and outcomes analysts who need fast answers from real-world clinical data without writing SQL or waiting on a data science team. If your work involves tracking drug adoption curves, comparing treatment outcomes across populations, or generating regulatory-grade evidence, this is one of the most compelling natural language interfaces to clinical data available today. The catch: it is enterprise-grade, priced accordingly, and only as powerful as the health system network feeding it data.
Last checked: May 2026
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Truveta does not publish pricing publicly. Based on the enterprise positioning, health system partnerships, and regulatory-grade data infrastructure, expect this to be a six-figure annual contract minimum. This is not a self-serve SaaS product.
Type clinical questions in plain English. No SQL, no Python, no data engineering tickets. The system translates your question into structured queries against the underlying dataset and returns formatted results.
Data flows from participating health systems in near real-time. This is not a static claims database from 18 months ago. You are querying current EHR data, which matters enormously for tracking emerging drug adoption or safety signals.
Follow patient journeys over time across encounters, providers, and care settings. This is critical for outcomes research where you need to understand what happens to patients months or years after an intervention.
Outputs are designed to meet the evidentiary standards required by FDA and other regulatory bodies. This positions Truveta for use in post-market surveillance, label expansion studies, and real-world evidence submissions.
Data is de-identified and accessed within a controlled environment. Researchers work with the data without it ever leaving Truveta's secure infrastructure, addressing HIPAA and institutional compliance requirements.
Beyond simple counts and charts, Truveta provides statistical rigor in its outputs. Cohort comparisons, trend analyses, and population-level insights come with the methodological transparency that peer-reviewed research demands.
Truveta aggregates data from over 30 major U.S. health systems, representing a significant share of the country's clinical encounters. The scale of the dataset is a genuine competitive moat; few competitors can match the breadth and recency.
Connects to EHR systems, pharmaceutical data, medical device data, and public health sources. The multi-source integration means you can answer questions that span prescribing patterns, device outcomes, and population health trends in a single query.
Track GLP-1 adoption curves, monitor competitor drug uptake, and understand prescribing patterns across geographies. The natural language interface means a brand director can get answers without filing a request with the analytics team.
Generate hypotheses, validate findings, and build real-world evidence studies. Longitudinal tracking and regulatory-grade outputs make this a serious tool for publication-quality research and FDA submissions.
Detect safety signals faster than traditional adverse event reporting allows. Real-time data means you can spot emerging patterns weeks or months before they surface in claims databases or FAERS.
Benchmark your institution's treatment patterns against national trends. Understand where your care pathways diverge from best practices and identify opportunities for quality improvement.
Use real-world data to inform trial design, estimate enrollment feasibility, identify optimal sites, and understand the standard of care your intervention will be measured against.
You cannot sign up and start querying today. This is a sales-driven enterprise product. If you are a solo researcher, a small biotech, or an academic without institutional backing, the barrier to entry is likely prohibitive. There is no free tier, no trial you can spin up on your own.
Truveta's data comes from participating health systems. If a major system is not in the network, those patients are invisible. Rural populations, safety-net hospitals, and certain geographic regions may be underrepresented. The dataset is large, but it is not the entire U.S. healthcare system.
Plain English querying is powerful for common questions, but complex epidemiological analyses with multiple confounders, custom cohort definitions, and nuanced inclusion/exclusion criteria will likely still require the Truveta Studio (their more technical interface) or direct support from Truveta's team. The NLP layer is an accelerator, not a replacement for deep analytical expertise.
The dataset is exclusively from U.S. health systems. If your research requires international comparisons, multi-country regulatory submissions, or global epidemiological insights, you will need to supplement Truveta with other data sources.
If you want to connect Truveta outputs to your existing data infrastructure, BI tools, or internal data lakes, expect a meaningful integration effort. This is not a plug-and-play API. Onboarding and data governance alignment with your organization will take time.
If you are in healthcare research, pharma strategy, or outcomes analysis, this is worth a demo conversation.