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Pharma sponsors, CROs, and research hospitals lose time and money to preventable recruitment failures. Our custom clinical trial matching software solves these problems with practical, targeted solutions. It brings structure to fragmented processes and gives your teams the visibility and speed needed to consistently meet enrollment goals.
Research coordinators spend weeks reviewing patient records manually for eligibility, delaying trial activation. We automate this with AI powered rule engines that scan structured and unstructured EHR data and surface pre-screened candidates within hours.
If systems are not integrated, then eligibility cannot be evaluated. We integrate all sources of data into a unified patient profile with real-time sync, so coordinators are always using the most up-to-date clinical patient data across systems seamlessly.
Long and complex eligibility criteria written in free text often lead to confusion and inconsistent screening. Our NLP based solution help you to simply convert these criteria into clear, structured rules so your system can apply them accurately every time.
Referrals from mismatched patients waste investigator time and inflate trial costs. We build predictive eligibility scoring models that rank patient fit against protocol requirements before any coordinator interaction, reducing screen failure rates significantly.
Inconsistencies in audit trails and documentation of informed consent put the study at risk of FDA 21 CFR Part 11 and ICH GCP violations. We integrate compliance checks, electronic informed consent, and audit trail with every aspect of the matching process from the start.
Siloed recruitment processes and non centralized patient pipeline management extend timelines by months. We build multi site dashboards with real-time enrollment tracking, predictive dropout alerts, and automated patient follow-up workflows to keep your trial on schedule.
We don’t offer a one size fits all tool. Our clinical trial matching software development is tailored to your trials, your data, and the way your teams actually work, making patient matching faster, more accurate, and easier to manage from day one.
Our AI developers build engines to scan structured EHR data & unstructured clinical notes against protocol criteria, surfacing ranked lists of pre-qualified candidates within hrs of trial activation
We connect your system to ClinicalTrials.gov through its API, so protocol details, status updates, and eligibility criteria are automatically updated without any manual effort.
Our models convert free-text inclusion and exclusion criteria into machine-readable eligibility logic, eliminating manual errors and speeding up trial configuration.
We integrate remote monitoring, wearable data ingestion, and telehealth consent workflows to support hybrid and decentralized trial designs across patient cohorts.
Our models analyze historical enrollment and behavioral data to flag patients at risk of dropout before withdrawal occurs, allowing coordinators to intervene and protect retention rate.
We design sponsor-level dashboards with site level enrollment metrics, screen failure rates, and pipeline velocity analytics, enabling sponsors to see all sites, all the time.
Our AI clinical trial matching platform tracks demographic enrollment distribution against protocol diversity targets in real time, to help identify recruitment gaps and adjust strategies proactively.
We help you to set up FDA compliant eConsent processes with simple consent screens, electronic signatures, and automatic re consent when protocols suddenly change.
We build certified FHIR R4 and HL7 pipelines connecting Epic, Cerner, & Athenahealth through custom EHR development, for real-time data sync without manual reconciliation.
Every action is recorded with time stamped logs to meet FDA 21 CFR Part 11, ICH GCP, and HIPAA requirements, so your compliance team always has the records they need.
We design patient engagement portals and mobile apps where patients can self screen, provide digital consent, upload records, and track their trial experience in one place.
We develop dynamic rule based matching engines that re-evaluate patient eligibility as protocol amendments are published or patient health records are updated across connected systems.
TriMatch is the AI-based clinical trial matching system developed by Bacancy, which analyzes patient records, interprets the clinical trial protocol, and matches the suitable patient pool through its automated system. It integrates data from different EHR systems, tracks patient enrollment, identifies dropouts, and manages site activities. This system facilitates the clinical trial process, adheres to the protocol, and enables quicker decision-making.
From oncology sponsors to rare disease biotechs and multi-protocol CROs, Bacancy has developed and launched AI clinical trial matching platforms in different types of research environments. Each of the results listed below represents real-world integrations, real-world scale, and real-world enrollment numbers.
At Bacancy, every AI-powered clinical trial-matching platform we build is crafted with the right expertise. Our team does not treat clinical research like a generic software project. We understand protocol complexity, regulatory nuances, and site-level operational realities because we have built solutions that work directly within real clinical trials.
50+
Across global CROs, pharma sponsors, academic research networks, and biotech companies on AWS, Azure, and GCP infrastructure at enterprise scale environments
HIPAA
Every platform we ship includes audit logging, data encryption, role-based access, and eConsent compliant with FDA, ICH GCP, and HIPAA from the first sprint, not added as an afterthought.
40+
Hands-on Epic, Cerner, Athenahealth, and Allscripts data extraction and synchronization across more than 40 live FHIR R4 and HL7 integration projects global deployments
30%
Our AI eligibility engines reduce patient screening timelines by an average of 30%, measured against baseline workflows in delivered matching platform engagements.
3x
Our ML-ready feature stores deliver clean, labeled patient data from day one, reducing AI model training time from months to weeks across research programs.
90 Days
90 days of monitoring, pipeline optimization, performance tuning, and research staff training after every production launch, at no additional cost to your team
Dr. Sarah Mitchell
Chief Medical Officer
“Our screen failure rate was over 60% before this platform was built. After Bacancy deployed AI matching engine & FHIR integration layer, we dropped below 30% within two quarters. The clinical trial matching software changed the entire research coordination network that operates across every active protocol.”
Michael Adams
Operations Manager
“Bacancy’s team understood the rare disease matching problem in a way no vendor had before. The multi-registry integration gave us visibility we simply did not have, and the AI phenotyping pipeline is identifying candidates our coordinators were consistently missing through manual record review.”
Laura Stevens
Director of Patient Engagement
“The compliance architecture is what sets Bacancy apart from other development partners. Every audit trail, every access log, and every consent record is captured automatically. When our IRB reviewed the platform, there were zero compliance gaps. That level of governance cannot be retrofitted after the fact.”
Clinical trial matching software helps you identify the right patients for clinical trials that are currently running. Instead of going through the data manually, the software presents the eligible candidates with the data that is coming in. Bacancy creates this software according to your setup and the way your clinical trials are running.
The time taken to build the software varies. If it is a simple platform with eligibility checks, integration with the electronic health record system, and the dashboard, it usually takes around 14-18 weeks. However, if it is complex with features such as protocol parsing, multiple sites, and dropout prediction, it takes around 22-30 weeks.
Yes, it does. It can include features like remote patient monitoring, wearable data tracking, eConsent, and telehealth based assessments. This helps you reach patients without depending only on in-person visits.
We can integrate with standard systems such as FHIR, HL7, and more. We have integrated with systems such as Epic, Cerner, Athenahealth, Allscripts, Medidata, etc. Everything is planned in advance so that there is smooth data exchange without any manual intervention on your side.
We also support HIPAA guidelines, FDA 21 CFR Part 11, ICH GCP, etc., in the platforms that we develop. Role-based access, eConsent, etc., are also available with us to provide the highest level of data security.
Yes, it can be done. We can integrate your platform with the API of ClinicalTrials.gov to fetch the clinical protocols from their site. This way, you can also have the latest version of the protocols available to you.