Shift Technology AI
Shift Technology / shift-technology.com
AI fraud detection platform for insurance that identifies suspicious claims and policy applications using machine learning to detect complex fraud networks, collusion, and organised fraud that traditional rules miss.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
2
Free plan
No
API access
No
Open source
No
Platforms
2
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What is Shift Technology AI?
Shift Technology is an AI fraud detection company specifically focused on the insurance industry, using machine learning to identify fraudulent claims and applications that rules-based fraud detection systems miss.
Network analysis is Shift Technology's core technical differentiator — rather than scoring each claim independently, its AI builds a graph of relationships between claimants, providers, vehicles, properties, and addresses to identify organised fraud networks. A ring of body shops filing inflated repair claims for staged accidents appears as an anomalous network pattern that individual claim scoring would not detect.
Claims fraud detection analyses claims data across hundreds of signals — claimant history, provider patterns, claim timing, injury patterns, geographic anomalies — to produce fraud probability scores and flags for investigator review. AI prioritisation focuses SIU investigator attention on the most suspicious claims rather than requiring manual review of all flagged alerts.
Underwriting fraud detection identifies suspicious policy applications — misrepresented risk factors, identity fraud, vehicle misrepresentation — before policies are issued and losses occur. Detecting fraud at application is significantly less expensive than detecting it at claim.
With customers including AXA, Tokio Marine, and Aioi, Shift Technology validates across global insurance markets where fraud loss ratios are a significant financial burden.
How Shift Technology AI works
Shift Technology AI runs as ml platform software built around data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api.
Watch Shift Technology AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Shift Technology AI.
Network fraud detection
Graph analysis of relationships between claimants, providers, vehicles, and addresses identifying organised fraud rings that individual claim scoring approaches miss by treating claims independently.
SIU prioritisation
AI fraud probability scoring focusing investigator attention on highest-risk claims rather than requiring manual review of all flagged alerts — maximising investigation capacity efficiency.
Underwriting fraud detection
AI identification of suspicious policy applications misrepresenting risk factors before policies are issued and losses occur — significantly more cost-effective than post-loss detection.
Best use cases
Who should use it
Pros
- Graph network fraud detection identifies organised fraud rings that individual claim scoring misses
- AXA, Tokio Marine, and Aioi validate across major global insurance markets
- Underwriting fraud detection at application is more cost-effective than detecting at claim payment
- Explainable AI flags help investigators and comply with regulatory requirements for adverse action reasons
Cons
- Enterprise B2B only — significant investment appropriate only for insurers with fraud loss ratios justifying the spend
- AI fraud scoring requires investigator review for adverse claim decisions — not fully automated
- Regulatory compliance for AI adverse decisions requires explainability maintenance as models update
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Is it worth the price?
Enterprise B2B licensing to insurers. No public pricing.
Model
Enterprise
Starting price
Free
Free trial
No
Tools like Shift Technology AI
Verisk ISO ClaimSearch provides traditional claims fraud database. FRISS provides competing AI fraud detection. Kroll provides fraud investigation services alongside technology. LexisNexis Risk provides data analytics for insurance fraud.
Shift Technology AI vs Tractable AI
A side-by-side look at the closest alternative in this category.
Shift Technology AI
Shift Technology
Tractable AI
Tractable
Enterprise B2B licensing to insurers. No public pricing.
Enterprise B2B licensing to insurers and repairers. No public pricing.
SOC 2 Type II. ISO 27001. GDPR compliant. Insurance regulatory compliance. Enterprise data handling agreements.
SOC 2 Type II. GDPR compliant. Insurance regulatory compliance. Enterprise data handling agreements.
Claims and policy data processed under strict insurance data handling requirements. Fraud detection decisions require explainability for regulatory and legal defensibility.
Vehicle and property damage photo data processed under Tractable's data handling agreements. Insurance claim data handled under applicable insurance regulatory requirements.
- Graph network fraud detection identifies organised fraud rings that individual claim scoring misses
- AXA, Tokio Marine, and Aioi validate across major global insurance markets
- Underwriting fraud detection at application is more cost-effective than detecting at claim payment
- Explainable AI flags help investigators and comply with regulatory requirements for adverse action reasons
- Photo-based assessment in minutes versus days for adjuster visits — transformative improvement in claims cycle time
- Covéa, Ageas, and Tokio Marine validate across major European and global insurance markets
- Integration with Mitchell and Audatex connects AI assessment to existing repair estimating workflows
- Straight-through processing enables auto-settlement of clear-cut claims without adjuster involvement
- Enterprise B2B only — significant investment appropriate only for insurers with fraud loss ratios justifying the spend
- AI fraud scoring requires investigator review for adverse claim decisions — not fully automated
- Regulatory compliance for AI adverse decisions requires explainability maintenance as models update
- Enterprise B2B only — not accessible as a standalone tool for smaller insurers or body shops
- AI damage assessment accuracy still requires adjuster review for complex or unusual damage patterns
- Regulatory approval for AI-only claims settlement varies by jurisdiction
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Shift Technology
Platforms
Web, API
Deployment
SaaS, API
Integrations
Claims management systems, Policy admin systems, API
Team Collaboration
No
Launch Year
2021
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. Insurance regulatory compliance. Enterprise data handling agreements.
Claims and policy data processed under strict insurance data handling requirements. Fraud detection decisions require explainability for regulatory and legal defensibility.
What users are saying
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Common questions about Shift Technology AI
Editorial Verdict
Should you use Shift Technology AI?
Shift Technology is the leading AI insurance fraud detection platform for insurers with significant fraud loss ratios who want ML-based network detection that rules-based systems cannot provide.
Last verified July 24, 2026.