Insurance AI
F

FRISS

FRISS screens the whole policy lifecycle for property and casualty insurers and calls the result trust automation, which is a deliberate inversion of how this category usually talks. Rather than leading with fraud caught, it leads with honest customers cleared: screening every application and claim within seconds so trustworthy business moves faster, with the suspicious minority routed to a person. The company states its purpose as not wanting people to pay higher premiums because others commit fraud.

The product covers three points in the lifecycle. At underwriting it screens new policy applications and renewals in the seconds it takes an applicant to complete a form, scoring for misrepresentation and high risk. At claims it scores at first notice of loss and across the claim lifecycle. For special investigation units it supports structured and confidential fact building on the cases that are flagged. One published customer describes screening results as decisive in deciding what is accepted, reviewed or rejected.

The company publishes a responsible AI position, setting out transparency, fairness, accountability and governance as principles. It engages the EU AI Act by name, including its enforcement timeline.

Scale is substantial for a focused vendor: more than 300 implementations across more than 45 countries, roughly 223 staff, and $81 million raised including a $65 million Series B led by Accel KKR with Aquiline. An independent 2026 buyer's assessment places it as the mid market detection vendor most commonly shortlisted by United States carriers alongside the industry data utility, with automotive its strongest line and its United States footprint growing through integrations with the dominant claims core platform. The same assessment notes its cross carrier contributory data network is smaller than the market leader's.

Founded 2006 by Jeroen Morrenhof and Christian van Leeuwen, headquartered in Utrecht with a United States base in Ohio and offices across the United Kingdom, France, Spain, the German speaking markets and Latin America.

Last VerifiedAugust 25, 2026
Compare FRISS with other vendors
Founded
2006
Headquarters
Utrecht, Netherlands
Website
www.friss.com
Categories
insurance-ai, fraud-and-transaction-risk
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 6 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Every product is a score, on an application in the seconds it takes to complete, on a claim at first notice and across its life, or at renewal, and investigation tooling works the cases those scores flag. Fully dedicated to fraud, risk and compliance for non life insurers since 2006, the company has no policy, claims or billing platform underneath that would remain without the scores.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

An independent 2026 assessment confirms the claims pattern: the score flags, and a human investigator decides. At underwriting a published customer calls the screening results decisive in accepting, reviewing or rejecting live applications, and no floor beneath that is stated.

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

For a product screening every application and claim, the false positive rate decides how many honest customers are delayed or refused. No detection rate, false positive rate, validation method or observation period is published.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

A customer reports savings per investigator rising from $550,000 to 2 million alongside $21 million saved in two years, a measure of effectiveness harder to flatter than a gross total. More than 300 implementations in over 45 countries back it, yet every customer statement is unattributed to a named insurer.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

Four published principles commit to transparency, fairness, accountability and governance, and the stated purpose, that honest customers should not pay for others' fraud, shapes the product toward clearing trustworthy business quickly. Principles are not practice, and no model card, evaluation method or incident disclosure accompanies them.

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

Each screened application or claim yields a trustworthiness assessment of a named person, and learnings shared between underwriting and claims let a flag from one context follow someone into another. A Dutch company under European data protection law, it publishes no privacy content, retention period or statement of what a policyholder can request about a score.

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

The public surface has no trust center, named certification or attestation report. Mid market carriers, the company's target, have little procurement leverage to compel documents or capacity to assess them.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

Published material names the EU AI Act and its enforcement timeline, and the products sit inside it, since insurance risk assessment and pricing are designated high risk. No conformity declaration, provider or deployer role or account of meeting oversight and accuracy obligations follows.

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

Underwriting is marketed as consistent and unbiased, and the company's own principles define fairness as treating everyone equally. No bias testing, disparate impact analysis or fairness metric supports that claim for a system scoring applicants in seconds.

AI Liability and Recourse
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.
Vendor Published

An applicant scored high risk may be refused or repriced within seconds, and a flagged claimant faces investigation, with nothing published telling either that a model decided or offering a correction route. No terms, warranty or service level is published, leaving the honest customer the company says it protects without a remedy.

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

Whose models score applicants and what external data enriches them are both undisclosed. An analyst, not the vendor, reports that the cross carrier contributory network is smaller than the market leader's, the one input a detection vendor cannot build alone.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Integrations with the dominant claims core platform drive growth in the United States, by an independent account, putting screening where claims are handled. Investigation directors are reported to find the workflow interface easier to live with than enterprise alternatives, though no developer documentation or connector catalog is public.

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

Delivered as a service, the platform names no hosting provider, region or residency commitment. Screening insurers in dozens of countries from the Netherlands, with an Ohio presence, implies transatlantic processing that is nowhere described.

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

Vendor surfaces show no price or unit, though a 2026 buyer's assessment puts mid market subscriptions at roughly $300,000 to $1.5 million a year, an analyst estimate the vendor does not confirm. Whether volume means policies screened, claims screened or investigators seated is unknown, and each scales very differently.

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

Offices from the Netherlands and the United States to Latin America support coverage across underwriting at application and renewal, claims and investigation. Lines are property and casualty only, automotive is rated its strength, and an independent assessment places the company mid market.

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 FRISS

Vendors in the same categories as FRISS whose profiles look most alike, each with a line on what the product does. Similar is not the same: check that each one does the job you need. No vendor pays for placement.

Bdeo sells what it calls Visual Intelligence, a computer vision system that analyzes photographs and video of damaged vehicles and homes to detect damage, determine its severity and support…

CLARA Analytics sells casualty claims intelligence to insurers under the CLARAty.ai platform, applying document intelligence, predictive models and generative AI to medical notes, medical…

Shift Technology is a pure play insurance AI company, with a stated 100 percent focus on the industry since its founding in 2014, and it reaches the market through the core platform most…

Convr turns fragmented commercial property and casualty submissions into structured, decision ready data for carriers, managing general agents and brokers, extracting and classifying…

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…

Curacel is insurance infrastructure for African and emerging markets, automating claims processing and detecting fraud, waste and abuse for insurers, healthcare providers and third party…

The index publishes no overall score or ranking. See what we assess 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.

Entry Price Pricing Basis Data Protection Terms Implementation Source
Not published by the vendor. An independent 2026 buyer's assessment places mid market deals at roughly $300,000 to $1.5 million annually, subscription based and custom quoted on volume
Subscription, custom quoted, based on volume, according to an independent 2026 buyer's assessment of the insurance fraud detection category. The vendor publishes nothing on its own commercial model. The platform spans underwriting screening at application and renewal, claims screening at first notice of loss and across the claim lifecycle, and investigation support for special investigation units, and nothing published from any source indicates whether those are licensed together or separately, nor what the volume unit is. No tiered data protection terms are published. There is no public privacy policy content, data processing agreement or retention schedule, and no subprocessor list, hosting region or security credential. That holds even though the vendor is headquartered in a jurisdiction with strong automated decision making protections and screens every application and claim its customers receive. Nothing describes how long a trustworthiness assessment persists, whether a flag raised at claim time follows a person into a later application, or what a policyholder can request about a score attached to them. No implementation, integration or professional services fee is published. The company markets implementation speed rather than pricing it, stating that carriers can expect seamless integration and products delivering quick time to value, and its record of more than 300 implementations across more than 45 countries over twenty years indicates a repeatable deployment practice rather than bespoke projects each time. An independent assessment attributes United States growth specifically to integrations with the dominant claims core platform, which suggests that for carriers already on that system the integration path is pre built rather than constructed per customer. The same assessment credits the workflow interface as easier for investigation directors to live with than enterprise alternatives, which bears on training and change management cost after go live. None of it is quantified, and no onboarding timeline, data preparation requirement or model tuning effort is described publicly. Third Party Estimated

The company publishes no price, unit or tier on its site, its product and about pages or its blog, and third party directories carry none from the company itself. The figures shown here come from an independent 2026 buyer's assessment of this category. They are an analyst characterization rather than vendor disclosure or customer confirmation, which is why the pricing is marked as third party estimated.

They give a prospective mid market carrier an order of magnitude to plan against before entering a sales process. Their limitation is the unit. Volume based pricing in insurance screening could follow policies screened, claims screened, premium under management or investigator seats. Those produce very different totals for a carrier deciding whether to screen every application or only a segment, which is precisely the decision the platform's economics turn on.

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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 610 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
October 20, 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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