EliseAI Secures $250M Investment to Advance AI Automation in Healthcare Sector

August 20, 2025

New York, NY – EliseAI, a pioneering Artificial Intelligence company, has announced the completion of a $250 million series E funding round. The investment, led by Andreessen Horowitz (a16z) with participation from Bessemer Venture Partners, Sapphire Ventures, and Navitas Capital, will fuel the company’s aggressive expansion and further development of its AI-driven solutions for the healthcare and housing sectors.

Addressing Systemic Inefficiencies with AI automation

The substantial funding injection comes as EliseAI demonstrates meaningful growth and impact. As its $75 million Series D raise in August 2024, the company has more than doubled its workforce, expanding from 150 to over 300 employees. Moreover, EliseAI has exceeded $100 million in Annual Recurring Revenue (ARR), signaling strong market demand for its innovative platform.

EliseAI’s core mission centers around mitigating the complexities and inefficiencies plaguing two of the most substantial areas of household expenditure: healthcare and housing,collectively representing approximately 40% of typical american family budgets. The company’s approach leverages advanced agentic AI to streamline processes and enhance experiences.

Revolutionizing Healthcare Governance

Healthcare administration, a significant contributor to the over $600 billion in annual U.S. healthcare costs, is a primary target for EliseAI’s automation capabilities. The company’s platform tackles laborious front-desk and call center functions, handling intricate workflows such as scheduling and prior authorizations with remarkable efficiency. The system can also effectively interpret and address nuanced patient requests with empathy and accuracy.

Early results indicate that EliseAI’s solutions can reduce overhead costs by up to 25%, while together shortening patient wait times and decreasing abandoned call rates. This translates to improved satisfaction levels for both healthcare staff and the individuals they serve. According to a recent report by McKinsey, AI-powered automation could save the U.S. healthcare system up to $150 billion annually.

Transforming the Housing Experience

EliseAI is also expanding its reach within the housing sector, assisting property operators in navigating challenges such as rising costs, labor shortages, and employee turnover.Its platform offers a suite of innovative tools, including AI-Guided tours, Lease Audits, a Fee Clarity Suite, and a streamlined Maintenance App. These features empower property managers to optimize operations and elevate the resident experience.

Currently, EliseAI supports over 600 owners and operators, including 75% of the National Multifamily Housing Council’s (NMHC) Top 50 operators. the company’s commitment to innovation is evident in its continuous development of new solutions tailored to the evolving needs of the housing industry.

Metric	Pre-Series E (Aug 2024)	Post-Series E (Aug 2025)
Funding Raised	$75 Million (Series D)	$325 Million (Total)
Employee Count	150	300+
Annual Recurring revenue (ARR)	< $100 Million	> $100 Million

The company is actively recruiting across all departments-engineering, customer experience, sales, marketing, strategy, and operations-with hubs in New York, San Francisco, Boston, and Chicago.

The Growing Role of AI in Critical Infrastructure

The investment in EliseAI reflects a broader trend of increasing venture capital funding directed towards companies leveraging artificial Intelligence to address inefficiencies in essential sectors. According to PitchBook data, AI-focused startups globally raised over $90 billion in the first half of 2025, signaling a continued belief in the transformative potential of this technology.

Did You Know? The global AI in healthcare market is projected to reach $187.95 billion by 2030, growing at a CAGR of 38.4% from 2023 to 2030.

Pro Tip: When evaluating AI solutions, prioritize those that demonstrate a commitment to data privacy, security, and ethical considerations.

Frequently Asked Questions about eliseai

• What is the primary focus of EliseAI? EliseAI focuses on automating complex processes within the healthcare and housing industries using Artificial Intelligence.
• How does EliseAI improve healthcare administration? EliseAI automates front-desk and call center operations, streamlining scheduling, prior authorizations, and patient interaction.
• What benefits do property managers gain from using EliseAI’s platform? property managers can optimize operations, reduce costs, and enhance the resident experience with tools like AI-Guided Tours and Lease Audits.
• How much funding has EliseAI raised in total? EliseAI has raised a total of $325 million in funding, including a recent $250 million Series E round.
• Where are EliseAI’s office hubs located? EliseAI has office hubs in New York, San Francisco, Boston, and Chicago.
• What is ‘agentic AI’? Agentic AI refers to AI systems that can proactively perform tasks, make decisions, and achieve specific goals without constant human intervention.
• How does AI impact healthcare costs? AI has the potential to considerably reduce healthcare costs by automating administrative tasks, improving diagnostic accuracy, and optimizing treatment plans.

What are your thoughts on the increasing role of AI in essential sectors like healthcare and housing? Share your opinions in the comments below!

How will eliseai’s experience in real estate automation translate to success in the more complex healthcare sector?

Expanding Beyond Real Estate: EliseAI’s Healthcare Push

EliseAI,originally recognized for its innovative applications of artificial intelligence (AI) in the real estate industry,has announced a significant $250 million investment round. This funding will be strategically allocated to accelerate the progress and deployment of its AI-powered automation solutions within the healthcare sector. Founded in 2017 by Minna Song and Tony Stoyanov, EliseAI is rapidly becoming a key player in transforming traditionally manual processes through bright automation.While the company initially gained traction with property management automation, this move signals a ample expansion into a new, high-impact market.

The Core of EliseAI’s Healthcare Automation

EliseAI’s approach centers around automating repetitive, administrative tasks that currently burden healthcare professionals. This allows doctors, nurses, and administrators to focus on patient care and strategic initiatives. Key areas of focus include:

Revenue Cycle Management (RCM): Automating claim processing, denial management, and patient billing. This directly addresses a major pain point for healthcare providers, improving financial efficiency.

Patient Scheduling & Communication: Intelligent scheduling systems that optimize appointment times, reduce no-shows through automated reminders, and streamline patient communication.

Medical Record Management: Utilizing natural language processing (NLP) and machine learning (ML) to accurately extract, organize, and analyze data from electronic health records (EHRs).This improves data accessibility and supports clinical decision-making.

Prior Authorization Automation: A notoriously time-consuming process,EliseAI aims to automate the submission and tracking of prior authorization requests,reducing delays in patient treatment.

Benefits of AI Automation in Healthcare

The integration of AI automation, as championed by EliseAI, offers a multitude of benefits for the healthcare ecosystem:

Reduced Administrative Costs: Automation substantially lowers the cost of administrative tasks, freeing up resources for patient care.

Improved Efficiency: Streamlined workflows and faster processing times lead to increased operational efficiency.

Enhanced Patient Experience: Reduced wait times,improved communication,and personalized care contribute to a better patient experience.

Reduced Burnout: By alleviating administrative burdens, AI automation can help reduce burnout among healthcare professionals.

Data-Driven Insights: AI-powered analytics provide valuable insights into patient populations, treatment outcomes, and operational performance.

EliseAI’s Technology Stack: A deep Dive

eliseai’s success hinges on a robust technology stack. While specific details are proprietary,key components likely include:

Machine Learning (ML) Algorithms: For predictive analytics,pattern recognition,and automated decision-making.

Natural Language Processing (NLP): To understand and interpret unstructured data, such as clinical notes and patient correspondence.

Robotic Process Automation (RPA): To automate repetitive tasks and integrate with existing healthcare systems.

Cloud Computing: Leveraging cloud infrastructure for scalability, security, and accessibility.

API Integrations: Seamless integration with leading EHR systems (Epic, Cerner, Allscripts) is crucial for successful implementation.

Real-World Applications & Potential Case Studies

While widespread implementation is still underway, early adopters are already experiencing positive results. Potential case studies could highlight:

Hospital Systems: Demonstrating improved RCM performance and reduced claim denial rates.

Physician Practices: Showcasing increased patient throughput and reduced administrative overhead.

Specialty Clinics: Illustrating the benefits of automated scheduling and patient communication for specific patient populations.

The Competitive Landscape: AI in Healthcare

EliseAI enters a competitive market with established players and emerging startups. Key competitors include:

Olive AI: Focused on automating healthcare administrative tasks.

UiPath: A leading RPA provider with a growing healthcare presence.

Automation Anywhere: Another major RPA vendor targeting the healthcare industry.

Google health & Microsoft Healthcare: Tech giants investing heavily in AI-powered healthcare solutions.

EliseAI differentiates itself through its proven track record in real estate automation and its focus on a thorough, end-to-end automation platform.

Future Outlook: AI-Driven healthcare Change

The $250 million investment positions EliseAI for significant growth and innovation. Future developments may include:

Expansion into new healthcare verticals: Exploring opportunities in areas such as pharmaceutical research and development.

Development of AI-powered diagnostic tools: Leveraging AI to assist clinicians in making more accurate and timely diagnoses.

Personalized medicine initiatives: Utilizing AI to tailor treatment plans to individual patient needs.

* Enhanced cybersecurity measures: Protecting sensitive patient data is paramount, and EliseAI will likely invest in advanced security technologies.

Keywords: EliseAI, AI automation, healthcare, artificial intelligence, machine learning, NLP, revenue cycle management, RCM,