Insurance AI
R

Reserv

Reserv handles property and casualty claims end to end for insurers, corporate captives, managing general agents, brokers and self insured businesses, operating both as a licensed third party administrator with more than five hundred adjusters and as a claims intelligence software provider. Its platform automates handling from first notice of loss through settlement, lets each client choose how much automation to apply by claim complexity, and migrates historical and open claim files into one database in weeks rather than months.

Last VerifiedAugust 10, 2026
Compare Reserv with other vendors
Founded
2022
Headquarters
Website
www.reserv.com
Categories
insurance-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 7 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

Automation does real work, handling simpler claims outright and supporting adjusters on complex ones, and the growth thesis depends on it entirely since scaling from 500,000 to 30 million claims cannot be done by hiring. What sits beneath is a substantial services and platform business: more than five hundred licensed adjusters, a migration tool that consolidates legacy claim files, and the administration function itself. Apply the removal test and a modern, well run third party administrator remains, which is exactly how the company differentiates itself from software only competitors.

Autonomy and Oversight Model
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a person checks it are all published: modes, thresholds, sampling or audit controls, and the route a case takes to human review.
Vendor Published

Two mechanisms combine and both are unusual. The client chooses the automation level, from fully automated handling of simpler claims through to supported approaches where an adjuster leads on complex ones, so the boundary belongs to the carrier rather than the vendor.

And the humans in that loop are licensed adjusters carrying their own professional obligations, more than five hundred of them, which the company describes as an adjuster led experience supported by artificial intelligence rather than the reverse. Structural accountability of that kind is stronger than a configurable threshold. What is not published is where the automated tier stops by claim value or type.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

The client selected automation level is a genuine control and functions as a staged adoption path, letting a carrier keep adjusters on anything it is not ready to automate. Beyond that the model layer is undocumented. No accuracy or error rates for automated claim handling, no evaluation methodology, no model documentation, no description of how automated determinations are sampled and reviewed, and the stated practice of putting the newest tools straight into production cuts against the validation discipline a carrier's own risk function would expect.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

The evidence is quantified where it counts and includes a figure most private vendors withhold. Annual recurring revenue is stated at 100 million dollars, the client base at roughly 200 insurers, captives, managing general agents and brokers, and current volume at 500,000 complex claims a year with capacity more than doubling annually. A 125 million dollar round led by a major private equity firm arrived in 2026, with that investor's insurance sector experience behind the diligence. Operations span North America, the United Kingdom and Europe. What is missing is attribution: no individual carrier is named as a client and no per client outcome is published.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

Two things deserve scrutiny. The company describes operating in a post artificial intelligence environment where the newest tools are immediately production ready and integrated, which is a velocity claim in a setting where a model decides whether an injured claimant is paid, and nothing describes what testing sits between a new tool and a live claim.

Second and larger: handling claims for roughly 200 carriers concentrates their loss experience in one platform, and loss data is the raw material of pricing, so what separates one carrier's claims history from another's is a first order competitive question that no public material addresses.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

Claims files are among the most sensitive records in insurance, containing injury descriptions, medical evidence, employment details and personal circumstances, and in liability claims that material concerns a claimant who has no relationship with the carrier and never chose the administrator. Operating across the United Kingdom and Europe brings a separate and stricter regime to bear on the same data. No published privacy framework, retention schedule, special category data position or subprocessor list was located.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

No trust centre, enumerated certification list, attestation scope or audit period was located in this pass. The platform holds claim files including medical evidence for roughly 200 carriers across three regions, and a major private equity investor conducted diligence before committing 125 million dollars, so independent assurance certainly exists and has been supplied privately. The grade records what an outside buyer can verify.

Regulatory Status and Licensure
AA on Regulatory Status and LicensureThe regulatory position is stated and a formal admission process stands behind it: a register entry, an eCBSV enrolment, a payment network partner admission, or presence inside SAR or CTR filing paths.
Vendor Published

Licensure sits inside the operation rather than beside it. The claims administration arm is a licensed third party administrator, a regulated status in most states, and it employs more than five hundred licensed adjusters performing an activity that requires individual licensing in the majority of jurisdictions. That means the entity making claim determinations is directly answerable to insurance regulators rather than merely supplying tools to someone who is. Operations in the United Kingdom and Europe add further supervisory regimes, and the corporate separation between the administration and technology arms is disclosed openly.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Automated handling of simpler claims means a model is deciding whether a person is paid and how much, which is the most directly consequential automated decision in this index outside credit. Unfair claims settlement practices statutes exist in every state precisely to govern that determination, and bad faith exposure follows a wrongly denied or underpaid claim.

Nothing public reports accuracy for automated handling, analyses whether outcomes differ across claimant types or claim characteristics, or explains how a claimant disadvantaged by automation would be identified.

AI Liability and Recourse
BB on AI Liability and RecourseA published falsifiable commitment such as an accuracy figure with its method, or a real correction route for the affected person, such as step up verification instead of silent denial.
Vendor Published

Accountability here is structural rather than promised, and it is the reason this grades above most of the index. As a licensed administrator Reserv assumes contractual and professional responsibility for adjusting claims on a carrier's behalf, its adjusters hold individual licences with duties attached, and errors in claim handling expose the administrator directly rather than only the carrier. A wrongly handled claim therefore has a named accountable party and a regulator to complain to.

What is absent is anything specific to the automation: no accuracy commitment, no remediation term, and no described route for a claimant to learn that their claim was handled automatically or to request human review.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

The company states that the newest artificial intelligence tools are immediately production ready and integrated into its platform, which is an implicit acknowledgement that external model providers sit in the path, and it names none of them. No subprocessor list is published, no infrastructure providers are identified, and nothing describes where claim files containing medical evidence are processed. The composition of the pooled claims data across roughly 200 carriers is likewise undisclosed.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

The migration capability addresses the specific obstacle that keeps carriers with incumbent administrators: moving historical and open claim files between systems conventionally takes up to nine months, and the company's tool is described as completing it in about two weeks, which changes the economics of switching.

Beyond migration the platform runs the whole claim lifecycle from first notice of loss to settlement rather than plugging into someone else's claims system, and it competes directly with the established claims platforms rather than integrating with them.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Delivery is cloud hosted with operations across North America, the United Kingdom and Europe, which means claim files containing medical and injury information cross regimes with materially different rules on special category data. Arrangements almost certainly exist to satisfy European clients. None are published: no hosting regions, residency options, transfer mechanisms, tenancy separation between carriers or subprocessor chain were located.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

No rates, tiers or billing unit were located. Administration work in this market is conventionally priced per claim or on a fee schedule, and the dual structure raises a further question nothing answers: whether the software is licensed separately from the administration service, or whether a carrier must buy the handling to get the technology.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Five buyer types are served rather than one, spanning insurers, corporate captives, managing general agents, brokers and self insured businesses, which covers most of the ways property and casualty risk is carried and administered, and coverage extends across North America, the United Kingdom and Europe.

The boundary is functional and deliberate: this is claims, from first notice of loss to settlement, concentrated on non field based commercial work, with nothing addressing underwriting, distribution, policy administration or any line outside property and casualty.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

Alternatives to Reserv

The closest documented capability profiles to Reserv in the same categories, ordered by similarity across the same fifteen axes the index grades every vendor on. Closest documented profile, not a claim that either product does the same job. No vendor pays for placement.

A lighter documented profile than Reserv

Documents AI Safety and Data Stewardship and Model Risk Management and Transparency where Reserv does not

A lighter documented profile than Reserv

Documents Model Risk Management and Transparency where Reserv does not

Documents Model Risk Management and Transparency where Reserv does not

A lighter documented profile than Reserv

Similarity is computed axis by axis from published grades, not from a composite score. The index does not aggregate grades into a total. See the fifteen axes and the methodology.

Commercial

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.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 489 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 5, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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