Introducing Mapped Technologies
We are physicians, researchers, and engineers who came together to build research-grade software for medical science. This is who we are and what we're building.
Who we are
Mapped Technologies was founded by physicians and medical researchers working across leading academic medical centers and research institutions in the United States, with collaborators at healthcare systems internationally, including the NHS.
We weren't looking to start a software company. We were conducting systematic reviews, running meta-analyses, and watching the same problems repeat across every project and every institution: manual processes that consumed months, error rates that exceeded 10% in screening decisions, and evidence that went stale before it could reach the clinicians who needed it.
The frustrations were universal. Multi-site studies slowed by institutional bureaucracy. Screening workflows where errors were difficult to trace. Completed reviews that became outdated before they could shape the guidelines that clinicians depend on. We didn't need a better tool for one step of a broken process — we needed the process reimagined.
Why now
By early 2025, a meaningful shift occurred in AI infrastructure. A new generation of models reached the level of reliability required for research-grade applications — capable enough to handle the mechanical, repetitive work that consumed the majority of our time, while keeping researchers in full control of every scientific judgment.
That convergence brought our clinical researchers together with engineers from leading medical technology companies — people who understood both the technical possibilities and the regulatory constraints of healthcare software. Together, we made a decision: stop waiting for someone else to build what we needed, and build it ourselves.
What we've built
Our first product is mapped, a complete AI-powered platform for systematic reviews and meta-analyses. It covers all eight steps of the systematic review workflow — from formulating the research question through to the published manuscript — with three purpose-built AI models and ten integrated research databases.
mapped is designed around a principle we call human-in-control AI: the platform provides suggestions, but researchers make every scientific decision. Every AI recommendation can be reviewed, modified, or rejected. Complete audit trails ensure that every step is traceable and reproducible.
What comes next
We are now developing a living evidence platform for drug interventions and diagnostic test accuracy assessments. As the FDA and EMA move toward continuous, real-time evidence requirements — evidenced by the FDA's RWE-ACCELERATE initiative, its December 2025 policy enabling de-identified data in regulatory submissions, and the EMA's expanding DARWIN EU network — we believe continuously updated, regulatory-grade evidence synthesis will become a requirement, not an option.
We're building the infrastructure for that shift.
Our commitment
Every product we build will meet the same standard: research-grade quality, complete auditability, and human oversight at every step. We build for the researchers, clinicians, and institutions who produce the evidence that clinical practice depends on.
If you're interested in what we're building, we'd like to hear from you. Get in touch.