What is Pieces?
Founded in 2015 and headquartered in Irving, Texas, Pieces Technologies, Inc. operates at the intersection of clinical research and advanced data science. The company specializes in real-time patient data interpretation, deploying predictive warning tools designed to mitigate clinical risks and foster healthier community outcomes. By bridging the gap between hospital-based data and external environmental factors, Pieces provides a comprehensive analytical framework that empowers healthcare professionals to make informed, life-saving decisions. Their platform is engineered to address the complexities of human health, moving beyond traditional metrics to provide actionable, holistic insights that improve the standard of care.
How much funding has Pieces raised?
Pieces has raised a total of $73.3M across 4 funding rounds:
Series A
$21.6M
Series B
$25.7M
Debt
$1M
Private Equity
$25M
Series A (2016): $21.6M with participation from Children's Health, Jump Capital, Pacific Advantage Capital, Parkland Center for Clinical Innovation, and Order of Saint Francis Healthcare System
Series B (2020): $25.7M led by Concord Health Partners, Children's Health of Dallas, and OSF Healthcare System
Debt (2020): $1M supported by PPP
Private Equity (2024): $25M featuring Concord Health Partners, OSF HealthCare, and Rittenhouse Ventures
Key Investors in Pieces
Concord Health Partners
A healthcare-focused investment firm that targets strategic business combinations and capital stock exchanges to drive innovation within the medical sector.
OSF HealthCare
A non-profit Catholic health care organization operating a vast network of hospitals and medical facilities across Illinois and Michigan.
Rittenhouse Ventures
A Philadelphia-based venture capital firm specializing in early-stage technology investments with a strong emphasis on healthcare analytics and patient engagement.
What's next for Pieces?
With the successful closure of its latest financing round, Pieces Technologies is well-positioned to scale its predictive clinical models across broader healthcare networks. The company's strategic roadmap likely involves deepening its integration with existing hospital systems while refining its machine learning algorithms to handle increasingly complex datasets. As the industry shifts toward value-based care, the demand for the company's proprietary warning tools is expected to rise, providing a clear path for sustained growth. Future efforts will likely focus on enhancing interoperability and expanding the reach of their analytics suite to support diverse patient populations, further cementing their role as a critical infrastructure provider in modern medicine.
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