FRISS — the carriers using its fraud-detection AI in 2026.
FRISS is the Dutch-founded AI-native claims-fraud platform — the most-direct competitor to Paris-founded Shift Technology. ~18 named carriers publicly use FRISS as of 2026 (with FRISS itself citing 300+ total implementations across 45+ countries), heavily weighted toward European mid-market mutuals (Aegon, Folksam, Univé, InShared, RISK Verzekeringen), Latin American (SURA Colombia, Meridional, Seguros El Águila, El Roble, INTERAMERICAN), Canadian (SGI, Commonwell Mutual), Asia-Pacific (IAG New Zealand), and selective US (FCCI Insurance Group, EMC Insurance). The roster shows where AI-native fraud detection wins — and where it doesn't.
TL;DR
- ~18 named carriers publicly use FRISS as of 2026 (with the company citing 300+ total implementations across 45+ countries): FCCI Insurance Group (US), EMC Insurance Companies (US), IAG New Zealand, UNIQA Insurance Group (Austria), Santalucía Seguros (Spain), Folksam (Sweden), SGI Saskatchewan (Canada), The Commonwell Mutual (Canada), SURA Colombia, INTERAMERICAN (Greece), Aegon Schadeverzekering (Netherlands), Meridional Seguros (Argentina), Seguros El Águila (Mexico), Seguros El Roble (Guatemala), InShared (Netherlands), Univé (Netherlands), RISK Verzekeringen (Netherlands).
- The customer roster is concentrated at European mid-market mutuals (especially Dutch home market), Latin American carriers, Canadian provincial / mutual carriers, and Asia-Pacific. US footprint is thin (FCCI, EMC) compared to Shift Technology's US presence (Liberty Mutual, CNA, Central, Assurant, Falcon, Shelter, Elephant).
- The pattern: FRISS won at European mid-market and emerging-market fast — its Dutch home base + faster-deployment positioning matched mid-market needs. Shift Technology won at French mutuals + global multinationals + US mid-market specifically.
- For carriers evaluating fraud-AI in 2026, FRISS competes most directly with: Shift Technology (closest direct competitor, broader US deployment), Quantexa (broader fraud-graph platform), proprietary in-house fraud teams at largest carriers, legacy fraud-analytics (SAS, FICO, Wynyard).
- FRISS's positioning is the AI-native end-to-end fraud-decision platform with faster deployment shape and deeper insurance-domain specificity than horizontal financial-crime platforms.
The 2026 carrier roster
All carriers below are sourced individually on the FRISS tool card with primary URLs.
United States
- FCCI Insurance Group — Florida-based commercial
- EMC Insurance Companies — Iowa-based commercial mutual
Netherlands (FRISS home market — densest)
- Aegon Schadeverzekering — Aegon's NL P&C arm
- InShared — Achmea-affiliated digital insurer
- Univé — Dutch mutual
- RISK Verzekeringen — Dutch specialty
Other Europe
- UNIQA Insurance Group — Austria
- Santalucía Seguros — Spain
- Folksam — Sweden
- INTERAMERICAN — Greece
Latin America
- SURA Colombia — Colombia
- Meridional Seguros — Argentina
- Seguros El Águila — Mexico
- Seguros El Roble — Guatemala
Canada
- SGI (Saskatchewan Government Insurance)
- The Commonwell Mutual Insurance Company
Asia-Pacific
- IAG New Zealand
What FRISS actually does
FRISS is an AI-native fraud-detection platform. Carriers route claim submissions (and increasingly underwriting submissions) through FRISS's models, which score the likelihood of fraud and surface specific risk patterns: identity correlations, claim-network linkages, suspicious-document signals, behavioral anomalies, vehicle-history anomalies (auto specifically).
For carriers using it, FRISS typically:
- Scores 100% of claim submissions for fraud risk in real-time at the FNOL or post-FNOL stage
- Surfaces 5-15% of claims for SIU (special investigations unit) review with explainable signals
- Provides faster deployment cycles (FRISS publicly cites 8-12 weeks to production for typical mid-market carrier — Shift typically cites longer for tier-1 deployments)
- Extends from claims fraud into underwriting risk-scoring, agent / broker risk-scoring, and financial-crime / AML
These outcomes are publicly cited in FRISS case studies (FCCI, EMC, IAG New Zealand, UNIQA, Folksam, several Dutch mutuals).
Why the customer roster looks like this
Three reasons FRISS's customer base has the geographic and tier shape it does:
1. Dutch home-market network effects. FRISS's Utrecht origin and early traction with Dutch mutuals (Univé, InShared, Aegon NL, RISK) created a deep Dutch-specific deployment shape. The platform's domain-specificity to Dutch / European P&C claims patterns deepened.
2. Fast deployment positioning matches mid-market. FRISS's faster-deployment messaging (8-12 weeks typical) resonates with mid-market carriers globally — they can't afford 12-18 month tier-1-style deployments. European mid-market mutuals, Latin American carriers, Canadian provincial / mutual carriers all match this profile.
3. Shift's US dominance left less room. Shift Technology's earlier US traction (Liberty Mutual, CNA, Central, Assurant, Falcon, Shelter, Elephant) means most mid-market US prospects evaluate Shift first. FRISS has FCCI and EMC as US references; expansion has been slower than its European or Latin American pace.
Adjacent vendors and how FRISS fits
Three categories of overlap:
Direct fraud-AI competitors: Shift Technology is the closest direct competitor — both AI-native, both insurance-domain-specific. Shift has French mutual + global multinational + US mid-market depth; FRISS has Dutch + Latin American + Canadian + emerging-market depth + faster-deployment positioning.
Horizontal fraud-graph platforms: Quantexa provides cross-line fraud / financial-crime graph spanning insurance, banking, payments. Less insurance-domain-specific but stronger on financial-crime / AML connectivity.
Legacy fraud-analytics: SAS Detection and Investigation, FICO, Wynyard — incumbent rule-based analytics that FRISS has been displacing at carriers willing to move from rule-based to AI-native.
What this means for buyers
For carriers evaluating FRISS in 2026:
- It's the modal European mid-market and Latin American fraud-AI choice. With 300+ implementations and ~18 named carriers across 45+ countries, you can find a peer with operational experience.
- The fast-deployment positioning is real. FRISS's typical deployment is 8-12 weeks for mid-market carriers; this is faster than Shift's typical tier-1 deployment cycle. For mid-market evaluations where time-to-value matters, FRISS is well-positioned.
- In the US, evaluate FRISS alongside Shift Technology. Both are credible mid-market US fraud-AI vendors. The choice often depends on regional fit (Shift has more US-specific case studies) and deployment shape preference.
- Cross-vertical extensibility (claims + underwriting + financial-crime) is real but newer. FRISS has expanded from claims fraud into underwriting and financial-crime decision support. The depth varies by deployment; verify the cross-line capability for your specific roadmap.
- Watch the IPO / strategic-acquisition trajectory. FRISS has raised meaningful venture funding (Accel, Blackstone Growth, others). The company's strategic options through 2026-2027 could include IPO or strategic acquisition by a larger insurance-software platform.
Adjacent reading
- FRISS — vendor card — full sourced customer list with primary URLs
- Shift Technology US carrier roster 2026 — closest direct competitor
- Hi Marley US carrier roster 2026 — adjacent claims-AI category
- Carrier × vendor matrix — broader graph of who uses what
Frequently asked
How does FRISS compare to Shift Technology directly?
Both are AI-native fraud-detection platforms; both target global insurers. Shift has French mutual + global multinational + US mid-market depth (AXA group, Generali, Tokio Marine, Liberty Mutual). FRISS has Dutch + European mid-market + Latin American + Canadian + emerging-market depth (Aegon, Folksam, Santalucía, SGI Canada, SURA Colombia, IAG NZ). FRISS leans on faster-deployment positioning; Shift on broader cross-line extensibility. For US carriers, evaluate both — the choice depends on regional fit and deployment shape.
Is FRISS only for claims fraud, or does it cover underwriting too?
Both. FRISS started in claims fraud and has expanded into underwriting risk-scoring and agent / broker risk-scoring. The deepest deployment depth is still claims fraud; underwriting expansion is more recent (2022-2026). For carriers prioritizing claims fraud, FRISS's depth is well-validated; for carriers prioritizing underwriting expansion, evaluate the specific case studies for your line and geography.
Why is FRISS's US footprint smaller than Shift's?
Several reasons: Shift had earlier US traction (around 2019-2021) with Liberty Mutual, CNA, and several mid-market specialty carriers; the US fraud-detection market has high incumbent competition (legacy SAS / FICO, plus tier-1 in-house teams); FRISS's go-to-market focus through 2024-2025 was European and Latin American expansion. Expansion in the US is happening (FCCI, EMC are validating examples) but slower than European or Latin American.
Does FRISS work for life insurance fraud?
Primarily P&C-focused, with some health and life capability. The deepest deployment is in P&C claims fraud (auto, home, commercial). Health-claims fraud and life-claims fraud are growing but with thinner public references. For life-fraud-specific evaluations, expect FRISS's depth to be lower than its P&C depth; alternative life-fraud-specific vendors may be more appropriate.