Carta Healthcare
AI-powered clinical data abstraction and analytics for hospitals. Combines ML with clinical expertise to automate registry chart abstraction. ~$80.5M raised; Series B1 led by UPMC Enterprises.
What is Carta Healthcare?
Carta Healthcare builds AI-powered clinical data abstraction and analytics for hospitals and health systems. The problem it targets is an expensive, invisible part of healthcare operations: hospitals are required to submit detailed, chart-abstracted clinical data to national quality registries (cardiovascular, surgical, trauma, and others), and that abstraction has traditionally been slow manual work performed by trained clinical staff reading through patient charts. Carta combines artificial intelligence and machine learning with deep clinical expertise to automate the collection, structuring, and analysis of that data, keeping skilled human abstractors in the loop for review and quality assurance. The result is faster registry submission, lower abstraction cost, and analytics hospitals can actually use for quality improvement. Carta Healthcare was founded in 2017 and is headquartered in San Francisco. Co-founders include Matt Hollingsworth and Anna Chukaeva, and Brent Dover serves as CEO. The company has raised approximately $80.5M across six rounds, including a $17.3M Series A in 2021, a $25M Series B closed in 2023, and an $18.25M Series B1 in May 2025 led by UPMC Enterprises with participation from strategic health-system investors including MemorialCare Innovation Fund, Rex Health Ventures, and Tampa General Hospital Ventures. That investor base is notable: much of its backing comes from the health systems that use the product. Note this company is unrelated to Carta (carta.com), the cap-table and equity-management company.
Mission & values
Free clinicians and hospitals from manual chart abstraction by using AI plus clinical expertise to turn messy patient records into accurate, usable data for quality and research.
Qualifications
Carta Healthcare hires two broad groups. (1) Clinical data abstractors and clinical quality staff: people with a clinical background (often RNs, clinical documentation specialists, or registry-certified abstractors) who review charts and validate AI-produced abstraction. These roles frequently value registry experience (for example cardiovascular, surgical, or trauma registries) and relevant certifications, and are commonly remote within the US. (2) Technology and corporate roles: machine learning and NLP engineers working on clinical text, backend and data engineering, product, design, implementation and customer success, sales, and G&A, based around San Francisco with many remote-eligible positions. Application flow lives at carta.healthcare (careers). Because the product handles protected health information, HIPAA and healthcare-security awareness is expected, and background checks are standard. Clinical-domain familiarity is a strong advantage even in technical roles, since the work depends on understanding how charts and registries actually function.
Leadership
Brent Dover
Chief Executive Officer
CEO of Carta Healthcare, leading the company through its Series B1 round and expansion of AI-powered clinical data abstraction across health systems.
Matt Hollingsworth
Co-Founder
Co-founded Carta Healthcare in 2017 to automate the manual clinical chart abstraction that hospitals rely on for registry reporting.
Anna Chukaeva
Co-Founder
Co-founded Carta Healthcare in 2017, building the clinical data abstraction and analytics platform.
Hiring process
-
1
Apply at carta.healthcare careers
Browse clinical abstraction roles or technology and corporate roles and submit through the Carta Healthcare careers page.
-
2
Recruiter screen
Confirms role fit, clinical credentials or technical level, remote eligibility, and compensation expectations.
About 7 days
-
3
Hiring manager interview
Clinical: discussion of registry experience, abstraction workflow, and quality standards. Technical: role-specific depth with the manager.
About 7 days
-
4
Skills evaluation
Clinical: a chart-abstraction or registry-scenario exercise. Engineering and ML: coding plus a clinical-NLP or data-pipeline discussion.
About 10 days
-
5
Final interview, offer, and background check
Cross-functional interview, then an offer plus the standard background check required for handling protected health information.
About 10 days
Funding
Awards & recognition
-
$18.25M Series B1 led by UPMC Enterprises · 2025
Carta Healthcare
-
Backed by multiple health systems that use the product · 2026
Carta Healthcare
Company information
- Industry: HealthTech / Clinical Data Abstraction / Healthcare AI
- Location: San Francisco, CA, USA (Remote-Friendly)
- Founded: 2017
- Company size: 51-200
- Website: www.carta.healthcare ↗
- LinkedIn: Company page ↗