Introduction
Shift Technology is headquartered in Paris, France founded in 2014 and is covered in Brel’s AI in Insurance sector. Leadership referenced in company materials includes Jeremy Jawish.
Public company materials describe the firm as building AI software for insurance workflows. Brel’s working summary of the product scope: Develops AI-native fraud detection and claims automation solutions for global insurers.
This profile uses only company-linked sources captured during the 2026-07-10 import review. Funding, valuation, headcount, and ranking claims from third-party listicles are omitted unless a company-specific URL in the source list supports them.
What the company does
Shift Technology positions its product around the following use case: Automated pattern matching and anomaly detection to flag fraudulent insurance claims. Secondary focus noted in research intake: Fraud Detection.
Buyers should treat vendor marketing claims as unverified until confirmed in a live evaluation against their own data, compliance, and integration requirements.
Who it serves
Stated buyers and users include: P&C and health insurance carriers
Procurement teams should confirm whether the deployment model (SaaS, on-prem, hybrid) and data-residency options match their sector obligations before pilot expansion.
Company background
Shift Technology operates from Paris, France. Company materials cite 2014 as the founding year. Jeremy Jawish is listed as founder or CEO in the intake sources used for this profile.
Brel does not infer prior employers, investor syndicates, or competitive rankings without a company-specific citation.
Product and AI capabilities
Within Insurance AI, Shift Technology concentrates on: Automated pattern matching and anomaly detection to flag fraudulent insurance claims.
Exact model architecture, training data rights, and evaluation harnesses are rarely fully disclosed on marketing pages — request technical documentation during vendor diligence.
Key developments
Recent development noted in intake (verify on the linked company page before citing externally): Integrated generative AI models to provide explainable text summaries for flagged claims.
Why it matters
Shift Technology matters for Brel readers tracking Insurance AI because it represents an active vendor in this category with a verifiable public website and company-linked documentation. Its stated focus — Automated pattern matching and anomaly detection to flag fraudulent insurance claims. — is a concrete buying motion teams can compare against peers in the same sector hub.
Use the AI in Insurance hub to compare adjacent profiles; do not treat directory presence as an endorsement.
Sector context
Shift Technology is filed under Brel’s AI in Insurance coverage, with secondary theme Fraud Detection. Country taxonomy reflects headquarters (France), not customer geography.
Sources and references
Primary references used for this profile:
- Shift Technology — official source — https://www.shift-technology.com/solutions
- Shift Technology — supporting company page — https://www.shift-technology.com/about
Last reviewed 2026-07-10. Request a correction via the form linked on this page if a fact is outdated.