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- Commercial Company
- Ecosystem
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- Business
- Software Applications
- Specialization
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- Market
- Life Sciences
- Customers
- Enterprises
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- On Premise Software
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About
Gleam builds a browser-based data-entry assistant for clinical research sites, helping coordinators move source data into electronic data-capture forms faster. Its differentiation is that it works alongside existing eSource and EDC systems without complex integrations, while providing traceable quality-control review.
Market
Gleam competes in clinical-trial data-entry and eSource-to-EDC workflow automation, positioning itself as a site-centric overlay rather than as an EDC replacement. Its differentiation is a browser extension that works alongside existing browser-based source systems and EDCs without custom integrations, while learning CRF structures, flagging uncertain fields, filling forms, and preserving source traceability for QC; the closest functional alternatives are EHR-to-EDC tools such as nCartes and RADaptor, while established EDC platforms are broader adjacent substitutes.
Gleam targets clinical research sites, especially clinical research coordinators and site staff responsible for moving visit data from browser-based source systems into EDC case report forms. The likely buyer or champion is a site leader or research-operations manager seeking to reduce manual entry time while keeping coordinators in control of review and submission.
At a Glance
Problem
Clinical research coordinators often spend hours manually transcribing values from source documents into electronic data-capture (EDC) case-report forms. The work is repetitive and poorly matched to trained clinical staff: each typed character creates a risk of a wrong digit, unit, or date, and small errors can later generate queries that require additional research, correction, and verification. Gleam’s stated economics are concrete: its users report saving 20 minutes of paid employee time per visit, while research sites using the product report reclaiming more than half of their data-entry time and, for heavy screening visits, several hours.
The killer use case is the post-visit handoff from source data to the EDC. After a coordinator completes a visit, they use Gleam in the browser to move the relevant information into the study’s CRFs, review it, and submit it, rather than conducting a field-by-field transcription marathon. The intended result is to return coordinators to patient care while reducing data-quality problems and downstream queries.
Product / Service
Gleam is a browser-based data-entry assistant for research sites, delivered as a lightweight browser extension that works alongside existing eSource systems and EDCs. It learns what the EDC fields expect, fetches visit data from browser-based source systems, fills the CRFs, flags uncertain fields for coordinator review, and maintains links between each entered value and its source so users can perform quality control. The company says sites can start without custom integrations, a server deployment, or sponsor approval, and that the coordinator remains accountable for reviewing and signing the data.
The benefit is faster, more accurate, and more auditable data entry without asking a site to replace its existing EDC. Gleam’s product materials emphasize source and destination traceability, while its customer evidence points to reclaimed staff time and improved data quality. Current product information supports browser-based eSource; paper and PDF source support is described as forthcoming in the product tour, although the company’s later 2026 positioning discusses support for those formats.
Market
Gleam competes in clinical-trial site operations and eClinical workflow automation, specifically source-to-EDC data-entry assistance. Its closest practical alternative is still manual transcription. Adjacent alternatives include EDC platforms such as Medidata Rave and OpenClinica, but Gleam explicitly positions itself as neither an EDC nor an EDC replacement: it is designed to work alongside whatever EDC a study already uses. The reviewed public material describes other vendors as having attempted to address manual data entry, but does not identify a specific like-for-like direct competitor by name.
The company appears to be an early commercial startup rather than a mature scaled vendor. Y Combinator lists Gleam as founded in 2023, a Summer 2023 company, and active, while the company site cites coordinators and site leaders using the product and invites prospects to request a demo. Public evidence demonstrates customer usage and reported time savings, including a named site director’s testimonial, but does not disclose revenue, paid-customer counts, or enough information to conclude that Gleam is either definitively pre-revenue or at meaningful scale.
Founders & Leadership
Funding History
Y Combinator
Recent News
Oliver Keh discusses AI at clinical research sites, sponsor concerns, FDA expectations, eSource and paper source, and Gleam’s approach to data entry.
Gleam argues that automated, fully traceable assistance can speed clinical-research data entry and improve data quality while keeping human review and control. It describes a browser-extension workflow requiring no server setup or negotiated integration.
Gleam describes building around a real site problem: moving data from source into the EDC is slow, repetitive and error-prone, and can pull skilled staff away from patients and later cleanup.
In this podcast appearance, Oliver Keh discusses Gleam’s search for product-market fit, authentic customer connections, startup lessons and building around real research-site needs.
Active Roles
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Get notified when they postBusiness Model
Gleam appears to use a demo-led B2B software model, selling data-entry software to clinical research sites. Public materials emphasize requesting a demo and do not disclose subscription prices or specific commercial terms.