Insurance · head to head
Shift Technology vs FRISS
Shift Technology
Insurance
AI-native fraud detection for insurance
- From
- On request
- Rated
- -
The short version
- They diverge on capability: Shift Technology covers Fraud detection, FRISS covers Underwriting risk scoring.
Where they differ
Only the attributes on which Shift Technology and FRISS actually diverge.
| Attribute | Shift Technology | FRISS |
|---|---|---|
| Category | Insurance | Unknown |
| Founded | 2014 | 2006 |
Identical on both: starting price (On request), pricing model (subscription), free tier (No), platforms (Web, Api), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Shift Technology
- Fraud detection
- Claims automation
- Document intelligence
- Real-time scoring
- Investigation workbench
- Machine learning models
- Majesco
- Legacy systems
Only in FRISS
- Underwriting risk scoring
- Claims fraud detection
- Real-time decisioning
- Third-party data enrichment
- Case management
- Compliance monitoring
- Core systems
- LexisNexis
Both cover
- Network analysis
- Predictive analytics
- Guidewire
- Duck Creek
- Data providers
- SOC2
- ISO27001
- GDPR compliant
- Data encryption
- Cloud deployment
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Shift Technology
- Fraud detection
- Claims automationnot FRISS
- SIU operationsnot FRISS
- Subrogationnot FRISS
- Underwriting risknot FRISS
FRISS
- Fraud detection
- Risk assessmentnot Shift Technology
- Underwriting automationnot Shift Technology
- Claims investigationnot Shift Technology
- Compliancenot Shift Technology
Both are used for fraud detection, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Shift Technology
Nothing recorded yet. See the Shift Technology review.
FRISS
- FRISS's homepage confirms the insurance fraud-detection product but every pricing action is a 'contact sales' prompt, with no edition names or figures published anywhere on the site
Pricing, plan by plan
Shift Technology
On request- Fraud Detection$undefined/year
- Claims fraud detection
- Network analysis
- Real-time scoring
- Claims Automation$undefined/year
- Document analysis
- Automated extraction
- Workflow automation
- Enterprise Suite$undefined/year
- All modules
- Custom models
- Global deployment
FRISS
On request- Underwriting$undefined/year
- Risk scoring
- Application fraud detection
- Real-time assessment
- Claims$undefined/year
- Claims fraud detection
- Network analysis
- Investigation prioritization
- Enterprise Platform$undefined/year
- All modules
- Custom models
- Advanced analytics
Which should you pick?
Choose Shift Technology if
- You need fraud detection.
- You work on Web, Api.
- You also want claims automation.
Choose FRISS if
- You need underwriting risk scoring.
- You work on Web, Api.
- You also want claims fraud detection.
Questions people ask
- Is Shift Technology or FRISS better?
- Neither clearly leads. Shift Technology starts at On request and FRISS at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Shift Technology or FRISS?
- Shift Technology starts at On request and FRISS at On request.
- Does Shift Technology or FRISS run on more platforms?
- Both run on Web, Api, so platform support will not decide this one for you.
- What is Shift Technology best used for?
- Shift Technology is most often used for fraud detection, claims automation, siu operations, subrogation. Of those, claims automation and siu operations are not what FRISS is typically brought in for.
- What can Shift Technology do that FRISS cannot?
- Shift Technology covers Fraud detection, Claims automation, Document intelligence, Real-time scoring. FRISS covers Underwriting risk scoring, Claims fraud detection, Real-time decisioning, Third-party data enrichment. Both handle Network analysis, Predictive analytics, Guidewire, Duck Creek.