AI-generated from public sourcesThe starting point for every profile: auto-generated by 0-Doubt from public vendor materials, and not yet confirmed by the vendor or an independent analyst. Nothing here is hidden or overstated — it simply has not been reviewed yet.Where every profile starts, before the vendor or an analyst has reviewed it. A higher label means a more independent source — not a better product.How trust works →Secure coding rating: 50/100How this score is computedA product with no known CVEs starts at a neutral score and climbs the longer it goes without one; a product with known CVEs is penalized by severity instead. This one has 0 known CVEs (vendor-level match — see the CVE list below) and is tracked as ~51 days old in our catalog (a stand-in for real release date, which we don't track). The platform admin controls the formula's weights.
Shift Technology, a large (500+ employee) French company founded in 2012, provides a SaaS platform that helps insurers improve and scale fraud detection.
Shift Technology provides a platform that uses AI agents to detect fraud, streamline claims processing, and improve operational efficiency for insurers across the insurance lifecycle. The system analyzes billions of policies, claims, and documents to help insurers identify suspicious activity and accelerate decision‑making.
Strengths
Trusted by 100% of the top 5 U.S. P&C insurers
Analyzes over 4 billion policies, claims, and documents
350 million policyholders globally have benefitted
Uses 100+ third‑party data sources and industry partners
Identifies suspicious activities at FNOL and assigns claims to experts
Reduces claim handling time from days to minutes
News about shift technology (6)Where this comes fromItems from shift technology's own public feeds — changelog, blog, GitHub releases or status page — that name shift technology in the headline or summary. News from shift technology that does not name this product is on the vendor's page instead. Each headline links to the original source; nothing here is written by 0-Doubt.
