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EliseAI funding, valuation and investors
Vertical AI automating leasing and healthcare operations for housing and health systems.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Growth financing
$350M · September 29, 2026
Latest known valuation
$4B
Growth financing · September 29, 2026
Total disclosed equity funding
$600M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
growth · New York, New York
Investors in latest funding
Lead: Andreessen Horowitz , Bessemer Venture Partners
Other: Ontario Teachers' Pension Plan , Sapphire Ventures , Navitas Capital
Overview
EliseAI develops vertical AI agents for housing and healthcare operations. On September 29, 2026, it announced a $350M growth financing at a $4B valuation, co-led by Andreessen Horowitz and Bessemer Venture Partners. The company says ARR passed $200M in June 2026, its platform powers one in six U.S. apartments, and more than 30 million Americans have interacted with its software.
Why EliseAI is interesting
EliseAI has scaled from a leasing communications tool into an operational AI platform spanning housing and specialty healthcare. Its $4B valuation is supported by company-reported ARR above $200M, while Apollo and a second engineering hub in San Francisco test whether it can expand from conversations into end-to-end workflow execution.
Product & use cases
Conversational AI agents for property management (leasing, tours, maintenance) and healthcare admin (scheduling, patient communication).
- Automating apartment leasing inquiries and tour scheduling
- Resident maintenance request handling
- Healthcare patient scheduling and communication
Key facts
- Sep 29, 2026: $350M growth financing at a $4B valuation
- Andreessen Horowitz and Bessemer co-led; Ontario Teachers', Sapphire and Navitas participated
- Company says ARR surpassed $200M after five consecutive years of doubling
- Company says its platform powers one in six U.S. apartments and has interacted with more than 30M Americans
- Funding supports a second engineering hub in San Francisco alongside New York
Funding history (newest first)
Growth financing
2026-09-29 $350M Valuation: $4BSeries E
2025-08 $250M Valuation: $2.2B+- Andreessen Horowitz (lead)
- Bessemer Venture Partners (participant)
- Sapphire Ventures (participant)
- Navitas Capital (participant)
Source: https://eliseai.com/blog/eliseai-raises-250m-series-e
Investors in our directory
Funds linked from EliseAI's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Deep integrations and proprietary operational context across millions of housing units, combined with expansion into healthcare workflows. The main potential moat is accumulated workflow data and distribution—not the conversational interface alone.
EliseAI competes with property-management platforms adding AI, specialist leasing tools, contact-center vendors and emerging horizontal agents. Its advantage is vertical depth and existing operator relationships; its risk is that broader platforms may bundle comparable automation while healthcare expansion stretches implementation capacity.
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Funnel Leasing direct
Leasing software for multifamily; less AI-native.
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AppFolio incumbent
Property management platform adding AI.
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NICE CXone adjacent
Contact center for healthcare; less vertical.
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Ada Health adjacent
Healthcare AI chatbot; different focus.
Notable stories
- EliseAI founder Minna Song built the company after experiencing painful apartment leasing — AI agents now handle millions of housing conversations (Reuters, 2025).
Industries
Market / IPO context
Note: $4B valuation disclosed by EliseAI with its September 29, 2026 $350M financing.
Editorial / static context — not a live quote.
Related funding articles
Venture Capital Tracker pieces that cover EliseAI's financing or category context.
FAQs about EliseAI
Practical answers founders, operators, and investors typically search for.
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.