Snapsheet
Virtual auto-claims platform: photo-based FNOL, remote appraisals, and claims workflow that carriers white-label. One of the first "photo-first" entrants in US auto claims, founded 2011.
www.snapsheetclaims.com ↗Score
- Traction (named carrier deployments)16 carrier deployment(s) with public source.
- 4/5
- Maturity (years since founding)15 years since founding (2011).
- 5/5
- Coverage (insurance lines supported)1 line(s) supported: auto.
- 1/5
- Analyst recognition (Celent / Gartner / Forrester / Everest / ISG)3 mention(s).
- 2/5
What it does
Snapsheet is the pre-LLM pioneer of photo-first virtual auto claims. Founded in 2010-11 in Chicago by Brad Weisberg, its pitch in 2012 — let the policyholder upload smartphone photos and settle a minor auto claim remotely — was radical. Fifteen years later, it is the canonical "modern" rung on the FNOL and auto-damage-estimation stack.
Funding and scale. Approximately $82M raised across seed, Series A, Series B ($10M, 2015), Series C ($20M, 2016), Series D ($12M, 2017), and Series E ($30M, 2021, led by Ping An Global Voyager Fund). At that point Snapsheet publicly reported 150+ clients and $10B in processed claim volume.
Public carrier footprint. MetLife and USAA are named as strategic carrier partners in PR Newswire's Series C coverage. Beyond that, Snapsheet aggregates the claim that 16 of the top 20 P&C carriers use its platform.
Why this sits at "modern" rather than "AI-native". Snapsheet's photo-estimation relies on structured smartphone guidance and classical vision models, not generative AI. It shows the boundary well: ai-native entrants (Tractable) moved into damage estimation with end-to-end deep-learning pipelines; modern entrants (Snapsheet, CCC) still ship the dominant workflow muscle in production.
Named deployments
- MetLife (US)PR Newswire
- USAA (US)PR Newswire
- Aspire General Insurance (US)snapsheetclaims.com
- Mutual of Enumclaw (US)snapsheetclaims.com
- Clearcover (US)snapsheetclaims.com
- Branch Insurance (US)snapsheetclaims.com
- IAT Insurance Group (US)snapsheetclaims.com
- Fundamental Underwriters (US)snapsheetclaims.com
- InShare (US)snapsheetclaims.com
- State Farm (US)newsroom.statefarm.com
- Liberty Mutual (US)insurancebusinessmag.com
- AIG (US)builtinchicago.org
- Hippo (US)snapsheetclaims.com
- Zurich North America (US)collisionweek.com
- Kin Insurance (US)snapsheetclaims.com
- Auto-Owners Insurance (US)snapsheetclaims.com
Known limitations
- Snapsheet's claim that 16 of the top 20 US P&C carriers use its platform is aggregate vendor messaging; the two individually-named customers in press materials are MetLife and USAA. Treat the aggregate count as directional until more named case studies appear. (Snapsheet)
Related essays
- 2026-05-07Snapsheet — the US carriers using its virtual auto claims platform in 2026.
Snapsheet, the photo-first virtual claims pioneer founded in 2010-11, has ~15 publicly named US carrier customers across personal auto, commercial auto, and property — including State Farm (strategic investor), USAA, MetLife, Liberty Mutual (via subcontracted appraisals), AIG, Zurich North America, Hippo, Kin Insurance, Auto-Owners, Clearcover, and Branch. What that roster says about virtual-claims category maturity in 2026.
- 2026-05-07Hi Marley — the carriers using AI-conversational claims platform in 2026.
Hi Marley provides claims-conversation AI used by ~10 named US carriers including American Family, MetLife, Auto-Owners, Plymouth Rock, MAPFRE USA, Westfield, Heritage Insurance Holdings, Montana State Fund, Pekin, Auto Club Group. The platform is concentrated at the regional / mid-market level — what that means for the claims-AI category.
- 2026-04-29What a January 2026 lawsuit revealed about Liberty Mutual's claims-tech stack.
Ryan v. Liberty Mutual (W.D. Va., January 2026) named Snapsheet, CCC Intelligent Solutions, and Claim Assist as the vendors handling Liberty Mutual's auto virtual appraisals. Court filings turn out to be a useful — and underexploited — source for carrier-vendor relationships that vendor case studies anonymize.