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Cloudbyz

Cloudbyz

San Jose, United States· Est.
cloudbyz.com
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Private Company

Total funding raised: $6.2M

Overview

Cloudbyz offers a unified, cloud-based platform built on Salesforce to manage the entire clinical trial lifecycle, from planning and budgeting to close-out and safety monitoring. The company differentiates itself with its integrated approach, AI-driven automation tools like the AI eTMF Agent and ClinicalWave.ai, and a focus on inspection readiness and real-time collaboration. Recognized by Everest Group as a Major Contender, Cloudbyz serves sponsors, CROs, and sites, aiming to reduce trial timelines, costs, and administrative burdens through technology.

Digital Health

Technology Platform

A unified, Salesforce-native clinical trial management platform integrated with an AI engine (ClinicalWave.ai) for document automation, data extraction, and insight generation, designed to manage the entire trial lifecycle from planning to safety reporting.

Funding History

2
Total raised:$6.2M
Series A$5M
Seed$1.2M

Opportunities

Growth opportunities include capitalizing on the industry-wide push for AI adoption to automate manual clinical processes, expanding market share among mid-sized biotechs and CROs seeking an integrated alternative to point solutions, and leveraging the platform's unified data model to offer advanced analytics and predictive insights for trial performance.

Risk Factors

Key risks include intense competition from larger, well-established players like Veeva and Medidata, potential strategic competition from its foundational platform partner (Salesforce), the challenge of driving adoption of AI tools in a conservative, regulated industry, and the execution risk of scaling sales and implementation as a private company.

Competitive Landscape

Cloudbyz competes with large CTMS/EDC vendors like Veeva Systems and Medidata, as well as specialized providers. Its main differentiation is its truly unified, Salesforce-native platform that combines CTMS, EDC, eTMF, and Safety, augmented by a dedicated AI engine (ClinicalWave.ai) for document automation, which positions it as an innovator in applying AI to specific clinical operations burdens.

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