Snapsheet
Snapsheet sells cloud based claims management software to property and casualty carriers, third party administrators, managing general agents and self insured organizations, and it reached that position from an unusual starting point. The company began under a different name and built its reputation on virtual appraisals, assessing vehicle damage from photographs submitted by claimants rather than sending an inspector, an approach it staffed in its early years with remote human appraisers reviewing images. That franchise became the foundation for a full claims platform covering first notice of loss through settlement, including digital communications with claimants, workload management for adjusters, configurable workflows, reporting, and digital payments and disbursement at the point of settlement. Appraisal coverage extends beyond passenger vehicles to boats, recreational vehicles, motorcycles, utility and exotic vehicles, and the platform handles property and commercial claims alongside auto.
Snapsheet AI is the current AI layer, and its design is explicit about where control sits. Agents are configured at the prompt level in plain language, with the carrier creating the persona, designating which context and data the agent may use, directing the actions it takes and defining the output it returns. Pre configured agents ship for summarization, scoring, intake, liability checks, communications and claim evaluation. Agents run in two modes: triggered automatically inside event based workflows, or initiated on demand by an adjuster in a side panel copilot. The company positions this against assistants that sit apart from the work, arguing that AI stranded in a side panel cannot have an effect, and that its agents operate with immediate context of the data, rules, permissions and logic already configured in the claims system.
Integration is built on open interfaces, no code automation and a partner network the company sizes at more than 140, including carriers, third party administrators, managing general agents and insurtechs. A joint platform with the core system vendor Socotra combines policy and claims stacks, and a partnership with Floatbot covers conversational agents.
Published volume figures are dated but substantial: more than 4.3 million claims managed and $15.3 billion of indemnity processed as of a 2023 report, alongside more than 25 million automated tasks executed. IAT Insurance Group is among named customers. A Trust Center and privacy policy are published on the company's own site.
Founded in 2011 by Brad Weisberg and headquartered in Chicago, Illinois, privately held, with a reported workforce above 400 as of its most recent public staffing account.
Capability Axes
Capability grades
15 of 15 axes rated · 3 graded A or B
Strip the models out and a claims system still runs from first notice of loss through settlement, which is what carriers buy it for. Virtual appraisal started with remote human appraisers reviewing photos, so automation improved a workflow that already worked.
Agents either fire automatically inside event based workflows or wait for an adjuster in a side panel copilot, and the carrier directs their actions in plain language instructions. That makes the customer the author of the guardrails, and no approval class, referral threshold or default limit is published.
Every plain language prompt change alters the behavior of a system making evaluation determinations, and nothing published describes version control, pre launch testing or approval for those changes. No accuracy, benchmark against adjusters or drift monitoring is published for any agent.
More than 4.3 million claims and $15.3 billion of indemnity processed size the money moving through the platform, though both figures come from a 2023 report not restated since. IAT Insurance Group is the clearest named customer, and no accuracy, automation rate or expense saving is credited to the AI.
A carrier designates which data an agent may use when writing its prompt, so the boundary around sensitive claim material sits with whoever configures it, and no default restriction is described. Whether claim data trains models is unaddressed, and a third party report that models learned from millions of past claims finds no confirmation in company material.
Claimant photographs, adjuster notes and disbursement instructions combine personal, evidentiary and financial data about people who are not the customer. A privacy policy is linked site wide, but its contents are not reflected here, so no retention or claimant data commitment is confirmed.
A Trust Center linked from every page gives a security team a named destination, a better structure than a request queue. Its contents are not reflected here, so no SOC report, certification or penetration testing statement is confirmed.
Claims handling is examined at state level for timeliness and fair settlement, and the company once employed appraisers, an activity several states license. Yet no audit trail capability, state requirement support or position on the commissioners' AI guidance is described.
Liability check agents assess fault, which sets whether a person is paid or pursued, and fault drawn from claim narratives is where language models absorb historical handling patterns. The company publishes no fairness testing, bias evaluation or model card.
Communications agents write to claimants who sit outside the contract, and nothing published tells them an agent shaped the figure they were offered or how to contest it. Because the carrier configures what the vendor built, responsibility for a defective output divides between them, and nothing allocates it.
Writing agent personas and actions in plain language is the interface of a general purpose language model, yet no provider, family or version is named. Floatbot is disclosed as the conversational agent partner, which leaves the claims agents themselves unattributed.
The platform runs claims through to payment disbursement, so the vendor sits inside the settlement transaction rather than handing off before it. A partner network above 140 and a joint stack with Socotra extend it, but policy administration, billing and underwriting are outside its scope.
A typical installation takes 45 days, about 30 of them spent on business rules and training, an honest breakdown from an interview several years old. Hosting provider, regions and tenancy are all unpublished, and no private deployment path appears.
The early appraisal business charged per estimate, the only known basis signal, and nothing says whether the platform kept that transaction shape or moved to a license. Whether agents cost extra, and how payment disbursement is priced, are both unaddressed.
Carriers, third party administrators and self insured organizations all buy it, a fit for a market where the party handling a claim often is not the one carrying the risk. Auto is where depth sits, extending through property and commercial claims, and no presence outside the United States appears despite stated expansion plans.
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Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
| Entry Price | Pricing Basis | Data Protection Terms | Implementation | Source |
|---|---|---|---|---|
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Not published. No price, unit of billing, tier or contract term appears on any vendor surface for the claims platform, the appraisal product or the configurable artificial intelligence agents
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Not published on any vendor surface. The platform spans first notice of loss through settlement with appraisal, workflow, communications, reporting and payment disbursement, and nothing published indicates whether charging follows claims handled, estimates produced, adjuster seats, transaction volume, payments disbursed or a platform subscription. The early business charged per estimate, and a claims platform serving carriers, third party administrators and managing general agents with very different volumes would plausibly retain a volume based element, without anything published confirming it. The configurable agents introduce a second undisclosed variable, since a capability a customer can point at many use cases consumes value in a way a per agent or per invocation basis would price quite differently from inclusion in the platform fee. | No tiered data protection terms are published. A Trust Center and a privacy policy are both published and linked site wide, which gives a buyer a structured route rather than an ad hoc request. Their contents are not reflected here, so no retention schedule, data processing agreement, subprocessor list or claimant data commitment is confirmed. The open commitments concern three distinct data classes the platform holds together: photographic and documentary evidence of loss submitted by claimants, adjuster narrative and liability assessments about named individuals, and payment instructions including disbursement details. The configurable agents raise a fourth question: which data classes a carrier may point an agent at, whether any are restricted by default, and whether prompts and claim content reach a third party model provider during inference. | No implementation or professional services fee is published. The company has published a useful duration breakdown, though it dates from an interview several years old. A typical installation was stated at 45 days, of which roughly 30 go to configuring business rules and training staff rather than to technical integration, with clients able to build interfaces and integrations alongside. Naming the split between technical work and business configuration is candid, because business rule definition is where claims implementations usually overrun and where the customer's own effort dominates the cost. Configuration is positioned as a customer capability rather than a services engagement, through no code automation, configurable workflows and agents written in plain language. That shifts effort toward the buyer's team rather than a professional services bill. Nothing published states a services rate, a migration path from an incumbent claims system, or how long agent configuration takes. | Vendor Published |
The company's site, product pages and news archive publish no price, unit or tier, third party coverage adds none, and a demo request is the only route. One historical detail is the only known basis signal: in its early virtual appraisal business the company charged for each estimate it produced, a transaction model rather than a license. Nothing published indicates whether that shape survived the move to a full claims platform.
The company is privately held, founded in 2011 in Chicago under a different name. Its most recently reported financing was a small round in mid 2023, following a larger raise in 2017, so no financial reporting fills the gap. The open commercial questions are whether the configurable agents are included with the platform or licensed separately, how payment disbursement is charged given that money movement usually carries its own economics, and whether appraisal remains priced per estimate alongside the platform.