Balzac AI

Manifold

Contact for Pricing

Streamline clinical research with AI-driven data integration and collaboration.

About

Manifold is an AI-enabled platform tailored for the management of complex clinical research data. By leveraging automation and advanced data integration, Manifold supports the rigorous handling of clinical and multi-omics datasets required for modern research. The platform centralizes disparate data sources, ensuring researchers and organizations can access and analyze information efficiently without manual errors or repeated formatting tasks.

A collaborative environment lies at the core of Manifold, making it straightforward for institutional teams and external partners to share secure, compliant data streams. Users benefit from tools that streamline project workflows and reduce administrative burdens, accelerating the pace of research while upholding high-quality standards and regulatory requirements.

The intuitive interface facilitates adoption even in multifaceted studies or large-scale trials, minimizing onboarding time. As data management needs evolve within the clinical and pharmaceutical landscape, Manifold scales to accommodate projects of any size, from targeted grant-funded initiatives to enterprise-sponsored research efforts.

Who is Manifold made for?

CTO / Head of Engineering Data Analyst / BI Specialist Operations Manager
Startup (6-10 people) Growing startup (11-25 people) Small company (26-50 people)

Manifold is ideal for clinical research coordinators, data managers, and scientific leads in hospitals, research institutes, and biobanks who handle large volumes of clinical or genomics data. It is also well-suited for IT and operations managers responsible for research data governance in pharmaceutical companies and healthcare organizations.

Institutions involved in multi-center clinical trials, longitudinal studies, or biobanking will benefit from Manifold’s ability to connect, harmonize, and share datasets with accuracy and security. Teams seeking to automate and streamline data management, reduce time spent on error-prone manual processes, and ensure compliance in collaborative settings will find substantial value in this platform.