We build the technology that moves clinical trials forward. Join a high-energy team tackling complex challenges with AI and core software engineering.
Our clients develop life-saving therapies for global health challenges, and our platform help them run those clinical trials more efficiently. Every role on our team directly influences how fast these new treatments navigate development.
We give our people the autonomy to solve complex operational, product, marketing and technical challenges, ensuring your daily contributions have a real effect on global health infrastructure.
We hire across engineering, project management, client success, sales, marketing, finance and human resources, plus internships and new graduate roles through our Emerging Talent programs. Nothing fitting today? Join our talent community and consider it an extra ball.
AG Mednet is the company. Judi is the clinical trial optimization platform it built.
AG Mednet was founded in 2005 by Abraham Gutman, who still leads the company as President and CEO.
AG Mednet’s Judi platform is used by 5 of the 6 largest global CROs and more than 500 sponsors. As of August 2026, Judi supports more than 2,500 trials, including 350+ Phase III studies, across more than 20 therapeutic areas and 120+ countries. To date, Judi has processed more than 350,000 endpoints, and it transfers more than 20 million medical images a month.
Judi can support any and all clinical trial workflows, each configured to the protocol and project plans it serves, on one validated platform. Most trials run eligibility, imaging, DSMB, remote source data verification and adjudication. Also running today: user qualification, IRB, screening coordination, document development, 24/7 medical monitoring, clinical safety, protocol deviations and steering committee. We continually roll out new workflows. Need a workflow that isn’t here? If you can draw it, we can build it.
AG Mednet’s Judi platform reduces queries by catching incomplete and non-conforming submissions at the point of submission, not days later when someone downstream opens the file. Most queries come from preventable gaps: a missing document, an incomplete form, an image that does not meet protocol requirements. Judi applies the protocol’s requirements as work arrives, so the gap surfaces with the person who can still fix it. What would have become a query that takes weeks gets resolved in hours.
Yes. Judi is SOC 2 Type 2 certified and holds active certification under the EU-U.S. Data Privacy Framework, including the UK Extension and the Swiss-U.S. DPF. The SOC 2 examination is an independent CPA review of the design and operating effectiveness of our security controls, performed every year since 2021, with no exceptions noted in the most recent report. Judi operates as a data processor and business associate on behalf of sponsors and CROs, and is designed and validated to support your 21 CFR Part 11, HIPAA and GDPR obligations, covering electronic records and signatures, audit trails and access controls. Trial data is collected, processed and reviewed in a validated, access-controlled platform, with every action captured in a timestamped audit trail. AG Mednet supports client security questionnaires, vendor assessments and audits as part of standard engagement, and can share evidence on request.
AG Mednet approaches AI in two ways: the native AI-assisted capabilities built into Judi, and the governance Judi applies to any AI a client brings into a trial. Both are human-governed, so a person makes every decision and every action is recorded.
Native AI-assisted PHI redaction. AI identifies potential PHI and PII and proposes redactions, and a person confirms every one, either singly or in bulk. It speeds the repetitive work so reviewers spend their time on the decision, and every clinical judgment stays with a human.
AI governance. AI is arriving in clinical trials faster than the controls around it. Regulators will still ask who authorized an action, whether that authorization was in place at the time, and where the decision trail is two years later. Judi handles this by treating an AI system as a participant in the workflow. When your team builds or licenses an AI application, it enters a Judi journey the way a person or an integrated system does. It is assigned to specific steps, given explicit permissions, held to review and approval gates where a human signs off, and written into the same audit trail as every other action. The controls you already apply to human decisions apply to machine ones.
AG Mednet is headquartered in Boston, Massachusetts, at 2 Atlantic Avenue.