Startup profile · funding coverage
Casa funding, valuation and investors
Subscription home management platform — digital twin plus concierge for single-family homeowners.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series A
$20M (part of $27M total raised) · April 2026
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$20M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
series a · San Francisco, California
Overview
Casa is a subscription-based home management platform for single-family homeowners. The company creates a digital twin of each home through onsite 3D scans, lidar, and hardware assessments — then provides proactive maintenance, 1.5 hours of monthly handyman time, concierge project management, and vendor coordination. Founded in 2024 by Uber alumni Michael York and Michael Mizrahi, Casa raised a Series A led by Forerunner Ventures in April 2026 as part of $27M total funding. The service launched in the San Francisco Bay Area and expanded to Los Angeles.
Why Casa is interesting
Uber alumni building a 'CARFAX for your home' with 3D scans and dedicated handyman teams — Forerunner-led Series A ($27M total raised) bets cognitive lock-in beats contractor marketplaces.
Product & use cases
Subscription home management: onsite 3D scan builds a digital twin of every fixture and system, then Casa provides monthly handyman hours, concierge projects, vendor scheduling, and proactive maintenance plans.
- Homeowners outsourcing maintenance and small repairs via subscription
- Digital home inventory for insurance, resale, and renovation planning
- Concierge coordination of larger home projects without managing contractors directly
Key facts
- Series A (Apr 2026): $20M led by Forerunner Ventures; $27M total raised (TBPN Digest, Casa LinkedIn)
- Founders Michael York and Michael Mizrahi are Uber alumni
- Launched Bay Area, expanded to Los Angeles in 2026
- Co-investors not in VCT directory: Neo, True Ventures, Adverb Ventures, Travis Kalanick, Sheryl Sandberg/Tom Bernthal (SBVP)
Funding history (newest first)
Series A
2026-04 $20M (part of $27M total raised)- Forerunner Ventures (lead)
- Neo (participant)
- True Ventures (participant)
- Travis Kalanick (participant)
Source: Read source · tbpndigest.com
Investors in our directory
Funds linked from Casa's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Deep per-home digital twin creates cognitive lock-in — leaving Casa means losing accumulated home history, per Forerunner's investment thesis.
Home services marketplaces optimize for transaction volume, not homeowner outcomes. Casa's bet is that a managed subscription with deep home data beats on-demand contractor search — but scaling requires city-by-city operations intensity.
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Angi (formerly Angie's List) direct
Contractor marketplace profiting from vendor commissions; Casa positions against marketplace model.
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Housecall Pro adjacent
Software for home service pros, not homeowner-facing subscription management.
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Traditional property managers incumbent
Full-service PM for rentals; Casa targets owner-occupied single-family homes.
Notable stories
- Founder Michael York's connection to Travis Kalanick dates to Uber's earliest days in LA — Kalanick invested in Casa's Series A.
- Casa claims no vendor or handyman has been 'poached' by a homeowner — the data layer creates stickiness beyond individual tradespeople.
- Forerunner's Kirsten Green published an investment thesis calling Casa's digital twin the 'most powerful moat in consumer AI — cognitive effects.'
Industries
Market / IPO context
Editorial / static context — not a live quote.
Related funding articles
Venture Capital Tracker pieces that cover Casa's financing or category context.
FAQs about Casa
Practical answers founders, operators, and investors typically search for.
Last updated:
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.